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          "en" => "<p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">Example of an NMA network diagram for PASI 90 results at 12 or 16 weeks of biologic treatment for psoriasis&#46;<a class="elsevierStyleCrossRef" href="#bib0135"><span class="elsevierStyleSup">27</span></a> The size of the nodes represents the sample size of the interventions and the widths of the lines the number of studies included&#46;</p> <p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">Abbreviations&#58; ADA&#44; adalimumab&#59; APR&#44; apremilast&#59; BIW&#44; twice weekly&#44; BRO&#44; brodalumab&#59; ENT&#44; etanercept&#59; GUS&#44; guselkumab&#59; IFX&#44; infliximab&#59; IXE&#44; ixekizumab&#59; PBO&#44; placebo&#59; QW&#44; once a week&#59; Q2W&#44; every 2 weeks&#59; SEC&#44; secukinumab&#59; UST&#44; ustekinumab&#46;</p> <p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">Modified from Cameron et al&#46;<a class="elsevierStyleCrossRef" href="#bib0030"><span class="elsevierStyleSup">6</span></a></p>"
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    "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0025">Introduction</span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0030">Development of Biologic Agents to Treat Psoriasis</span><p id="par0005" class="elsevierStylePara elsevierViewall">The introduction of biologic agents more than 15 years ago marked the start of enormous progress in therapies for management of psoriasis&#46; Adalimumab and ustekinumab were the first biologic agents administered subcutaneously that surpassed a satisfactory efficacy threshold difference in PASI 75 response rate with respect to placebo greater than 50&#37; &#40;corresponding to a number of patients needed to treat &#91;NNT&#93; &#60; 2&#41;&#46;<a class="elsevierStyleCrossRef" href="#bib0005"><span class="elsevierStyleSup">1</span></a> Although one of the randomized clinical trials &#40;RCTs&#41; of adalimumab included an active treatment arm with methotrexate &#40;and subsequently&#44; a comparative study of infliximab with methotrexate was published&#41;&#44; the first RCT comparing 2 biologic agents &#40;ustekinumab versus etanercept&#41; was published in 2010&#46;<a class="elsevierStyleCrossRef" href="#bib0010"><span class="elsevierStyleSup">2</span></a></p><p id="par0010" class="elsevierStylePara elsevierViewall">In 2015&#44; secukinumab was granted marketing authorization&#59; this was the first of a new class of antibodies targeting interleukin 17 &#40;IL-17A&#41;&#46; The basic characteristic of anti-IL17A agents is their rapid onset of therapeutic action and having made PASI 90 response the standard benchmark of efficacy&#44; with a difference in response rates compared with placebo in excess of 70&#37;&#46;<a class="elsevierStyleCrossRef" href="#bib0015"><span class="elsevierStyleSup">3</span></a> The clinical development programs of these agents have included RCTs with etanercept&#44; adalimumab&#44; and ustekinumab&#44; in addition to placebo&#44; and recently&#44; guselkumab was included as an active comparator in a couple of RCTs&#46;</p><p id="par0015" class="elsevierStylePara elsevierViewall">Guselkumab&#44; approved by the European Medicines Agency &#40;EMA&#41; at the end of 2017&#44; is the first representative of a class of biologic agents that specifically block the p19 subunit of IL-23&#59; other agents in this class include tildrakizumab and risankizumab&#46; The corresponding comparative studies also included etanercept&#44; adalimumab&#44; ustekinumab&#44; and secukinumab&#44; depending on which agent was the most relevant comparator at the time when the trials were designed&#46;</p></span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0035">Efficacy and Safety Comparisons</span><p id="par0020" class="elsevierStylePara elsevierViewall">Dermatologists face a difficult choice with a wide range of options&#44; and pivotal RCTs supporting the authorizing agencies&#39; approval do not enable an assessment of relative efficacy &#40;or safety&#41; compared with other therapeutic agents&#46; Other factors may influence outcomes to a greater or lesser extent &#40;depending on the drug&#41;&#44; such as previous failure of a biologic agent&#44; body weight&#44; and comorbidities&#44; particularly psoriatic arthritis&#46; On the other hand&#44; neither the populations nor baseline situation &#40;with washout period and PASI scores above 12&#41; used in RCTs adequately represent clinical reality&#46; In any case&#44; we need a means to compare efficacy data from different drugs&#44; given that a cost-effectiveness analysis&#44; taking into account pricing at a given time&#44; is an essential component of any therapeutic algorithm&#46;</p><p id="par0025" class="elsevierStylePara elsevierViewall">First&#44; a systematic review should be conducted according to a well-established methodology&#44;<a class="elsevierStyleCrossRef" href="#bib0020"><span class="elsevierStyleSup">4</span></a> to identify published RCTs of the disease in question &#40;in our case&#44; plaque psoriasis&#41;&#46; When several RCTs of the same drug are available&#44; the results should be combined using methods that maintain the randomization of each RCT&#59; for these purposes the meta-analysis &#40;MA&#41; methodology was developed&#46; MAs can provide more precise results&#44; but they can also generate errors if differences in design between studies and publication bias are not taken into account&#46;</p><p id="par0030" class="elsevierStylePara elsevierViewall">In the case of psoriasis&#44; the methodology of the studies and the selection criteria in general are very uniform&#44; and this is an advantage although the possibility of study heterogeneity should always be considered&#46; In many cases&#44; the data&#47;outcomes of interest are dichotomous &#40;for example&#44; PASI 90 response&#58; yes&#47;no&#41; and the discussion here will focus on such data&#44; although there are MA methods that can be applied to continuous data&#47;outcomes&#44; ordinal outcomes or combinations thereof&#46; Finally&#44; sensitivity analyses should be employed &#40;changing the conditions determining which RCTs to include&#41; to confirm that the findings are robust and can thus be used to guide therapeutic or reimbursement decisions&#46;</p><p id="par0035" class="elsevierStylePara elsevierViewall">With a pairwise MA&#44; data from several RCTs of drug A compared with placebo &#40;or drug B&#41; can be combined&#59; on combining different studies&#44; it may be possible to detect a significant difference that would otherwise not be apparent because the individual RCTs are underpowered&#46;</p><p id="par0040" class="elsevierStylePara elsevierViewall">In MAs&#44; a statistical parameter representative of the intervention effect &#40;treatment&#41; is calculated for each of the studies&#59; for dichotomic variables&#44; the odds ratio &#40;OR&#41;&#44; the risk ratio &#40;RR&#41;&#44; or the risk difference &#40;probability or percentage of response&#41; between the drug and its comparator &#40;usually placebo&#41; are used&#46; For example&#44; if a drug can achieve a PASI 90 response in 633 of 1000 patients &#40;63&#46;3&#37;&#41;&#44; compared with 25 of 950 &#40;2&#46;6&#37;&#41; for placebo&#44; the OR is &#40;633<span class="elsevierStyleHsp" style=""></span>&#215;<span class="elsevierStyleHsp" style=""></span>925&#41;&#47;&#40;25<span class="elsevierStyleHsp" style=""></span>&#215;<span class="elsevierStyleHsp" style=""></span>367&#41;<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>63&#46;8&#59; the RR is &#40;633<span class="elsevierStyleHsp" style=""></span>&#215;<span class="elsevierStyleHsp" style=""></span>950&#41;&#47;&#40;25<span class="elsevierStyleHsp" style=""></span>&#215;<span class="elsevierStyleHsp" style=""></span>1000&#41;<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>36&#46;1&#59; the risk difference &#40;63&#46;3-2&#46;6&#41;<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>60&#46;7&#37; &#40;or 0&#46;67&#41;&#44; and 3 patients need to be treated to achieve a PASI 90 response in 2 &#40;NNT<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>1&#47;0&#46;67<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>1&#46;5&#41;&#46; OR and RR are relative measures&#44; whereas the risk difference and NNT are absolute measures&#59; in general&#44; the relative measures are more consistent among studies and do not have numerical limits &#40;a probability cannot be negative&#41;&#46; In general&#44; clinicians tend to overestimate the treatment effect when expressed as an OR&#44; although the differences between OR and RR are small for uncommon events &#40;with a probability of approximately &#60; 20&#37;&#41;&#46; This is not the case for treatment response in RCTs of psoriasis&#46;</p><p id="par0045" class="elsevierStylePara elsevierViewall">Essentially&#44; there are 2 types of statistical model for MAs&#44; depending on whether each RCT is considered to measure an unchanging drug effect or whether the effects in each RCT follow a random distribution&#46;<a class="elsevierStyleCrossRef" href="#bib0025"><span class="elsevierStyleSup">5</span></a><ul class="elsevierStyleList" id="lis0005"><li class="elsevierStyleListItem" id="lsti0005"><span class="elsevierStyleLabel">&#8226;</span><p id="par0050" class="elsevierStylePara elsevierViewall">The <span class="elsevierStyleBold">fixed-effects model</span> assumes that there is no variation in the relative treatment effect between different RCTs&#44; and that the differences observed are due only to chance&#46; In this case the aim is to calculate the true treatment effect&#46; In general&#44; the Mantel-Haenszel statistical method is used&#44; particularly for small sample sizes&#44; but the inverse variance method and the Peto method can also be used&#46; These methods are more powerful and less biased when there are studies without events &#40;for example&#44; mortality&#41;&#44; the intervention effect is small &#40;probability &#60;1&#37;&#41;&#44; and the size of the treatment arms is balanced&#46;</p></li><li class="elsevierStyleListItem" id="lsti0010"><span class="elsevierStyleLabel">&#8226;</span><p id="par0055" class="elsevierStylePara elsevierViewall">The <span class="elsevierStyleBold">random-effects method</span> assumes that the treatment effect can vary from one RCT to another &#40;the outcome of each RCT would follow a normal distribution&#41; and the combined effect would be the mean of a normal distribution whose standard deviation would reflect heterogeneity&#46; In the case of the random-effects model&#44; the DerSimonian-Laird method is generally used&#46;</p></li></ul></p><p id="par0060" class="elsevierStylePara elsevierViewall">The effect measure for any of these methods can be OR&#44; RR&#44; or risk difference&#44; except when the Peto method is used&#44; in which case only ORs can be combined&#46; The effect of each RCT is represented in an effects diagram or forest plot&#44; by means of blocks with horizontal lines that indicate the confidence interval &#40;CI&#41;&#44; generally at a level of 95&#37;&#46; The size of each block often represents the weight assigned to each study in the MA&#46; A common way to weigh RCTs is according to the reciprocal of the variance or square of the standard error&#58; large studies are given more weight because their standard error is smaller&#46; The summary effect&#44; or weighted mean of the effects of each intervention&#44; is represented by a diamond &#40;with a height proportional to the number of subjects enrolled in the RCT&#41; &#40;<a class="elsevierStyleCrossRef" href="#fig0005">Fig&#46; 1</a>&#41;&#46;<a class="elsevierStyleCrossRef" href="#bib0030"><span class="elsevierStyleSup">6</span></a></p><elsevierMultimedia ident="fig0005"></elsevierMultimedia><p id="par0065" class="elsevierStylePara elsevierViewall">There are different measures of heterogenicity &#40;due to differences in the characteristics of the populations in each study &#91;clinical diversity&#93;&#44; study design&#44; outcome measures of interest&#44; and bias &#91;methodological diversity&#93;&#41; between the different RCTs included in an MA&#59; for example&#44; the Cochran Q test &#40;&#967;<span class="elsevierStyleSup">2</span>&#41; with its corresponding <span class="elsevierStyleItalic">P</span> value&#44; or I<span class="elsevierStyleSup">2</span> with its corresponding CI&#44; which is used in Cochrane reviews&#46; I<span class="elsevierStyleSup">2</span> is calculated from the Cochrane Q value as 100&#37; &#215; &#40;<span class="elsevierStyleItalic">Q</span> &#8211; degrees of freedom&#41;&#47;<span class="elsevierStyleItalic">Q</span>&#44; and it describes the percentage variability in the effect estimates due to heterogeneity&#44; plus the random sampling error&#46; Negative values are considered as 0&#37; and indicate that heterogeneity is not observed&#59; values below 25&#37; indicate that the RCTs have low heterogeneity&#59; values above 50&#37; indicate high heterogeneity&#46; Another measure of heterogeneity that is used for random-effects MAs is &#964;<span class="elsevierStyleSup">2</span>&#46;</p><p id="par0070" class="elsevierStylePara elsevierViewall">The heterogeneity among different RCTs can be due to treatment interactions with different covariates &#40;baseline values of weight&#44; age&#44; comorbidities&#44; placebo effect&#44; etc&#41; that determine bias&#46;<a class="elsevierStyleCrossRef" href="#bib0035"><span class="elsevierStyleSup">7</span></a> Covariates can also be interdependent&#59; for example&#44; weight may modify the response not only of treatment but also of placebo&#46;<a class="elsevierStyleCrossRef" href="#bib0040"><span class="elsevierStyleSup">8</span></a> There are statistical measures of the extent of bias and metaregression models that take into account these interactions&#44; although it is preferable to use indirect comparisons with individual data &#40;see below&#41;&#46;</p><p id="par0075" class="elsevierStylePara elsevierViewall">Pairwise MAs provide a pooled estimate of a treatment effect compared with placebo&#44; and the 95&#37; CI indicates that the <span class="elsevierStyleItalic">real</span> or <span class="elsevierStyleItalic">average</span> value of the effect lies within the interval with 95&#37; probability&#44; but it does not enable rigorous comparison of the relative effect of 2 treatments&#44; particularly when CIs overlap&#46;<a class="elsevierStyleCrossRef" href="#bib0045"><span class="elsevierStyleSup">9</span></a></p><p id="par0080" class="elsevierStylePara elsevierViewall">The relative efficacy of different treatments or therapeutic interventions can be assessed with comparative RCTs &#40;direct comparisons&#41;&#44; MAs with multiple RCTs &#40;indirect comparisons&#41;&#44; and patient registry data&#46;</p><p id="par0085" class="elsevierStylePara elsevierViewall">Head-to-head &#40;H2H&#41; comparative RCTs require random assignment to treatment and double-blind assessment of efficacy&#44; but even if the inclusion criteria are identical and the treatment arms are largely balanced&#44; biases may still be present&#46; For example&#44; even assuming that there are no meaningful changes in the potency of the molecule over time&#44; the absence of a placebo arm can increase therapeutic response compared with pivotal RCTs&#44; as observed in some equivalence trials&#46;<a class="elsevierStyleCrossRef" href="#bib0050"><span class="elsevierStyleSup">10</span></a> The choice and timing of the endpoint assessment to determine the outcome of an RCT will often favor the sponsor&#8217;s desired outcome&#46;<a class="elsevierStyleCrossRefs" href="#bib0055"><span class="elsevierStyleSup">11&#44;12</span></a> When there are differences between cutaneous response and articular response between 2 drugs&#44; the choice of a composite outcome measure can also favor one of the drugs&#46;<a class="elsevierStyleCrossRef" href="#bib0065"><span class="elsevierStyleSup">13</span></a></p><p id="par0090" class="elsevierStylePara elsevierViewall">Even when H2H RCTs are available&#44; both clinicians and drug evaluation agencies are placing increasing importance on the different methods of indirect comparison between treatments&#44; particularly when multiple options are available&#46; By combining direct and indirect comparisons&#44; we can obtain a more refined estimate of the relative value of each drug&#44; provided these comparisons meet certain conditions discussed later&#46;<a class="elsevierStyleCrossRef" href="#bib0070"><span class="elsevierStyleSup">14</span></a></p><p id="par0095" class="elsevierStylePara elsevierViewall">The different methods available for indirect comparisons of treatments include<a class="elsevierStyleCrossRef" href="#bib0075"><span class="elsevierStyleSup">15</span></a>&#58;<ul class="elsevierStyleList" id="lis0010"><li class="elsevierStyleListItem" id="lsti0015"><span class="elsevierStyleLabel">&#8226;</span><p id="par0100" class="elsevierStylePara elsevierViewall">Adjusted or anchored indirect treatment comparisons &#40;ITCs&#41;&#44; comparing aggregate data from RCTs of drug A with aggregate data from the corresponding placebo arm or another drug B which has been compared with placebo&#46;</p></li><li class="elsevierStyleListItem" id="lsti0020"><span class="elsevierStyleLabel">&#8226;</span><p id="par0105" class="elsevierStylePara elsevierViewall">Network MA &#40;NMAs&#41;&#44; comparing aggregate data from different drugs with placebo &#40;and between them if H2H RCTs are available&#41;&#44; with or without adjustment for baseline characteristics and in particular different placebo responses&#46;</p></li><li class="elsevierStyleListItem" id="lsti0025"><span class="elsevierStyleLabel">&#8226;</span><p id="par0110" class="elsevierStylePara elsevierViewall">Indirect comparisons with individual data on a treatment adjusted for the aggregate characteristics of others &#40;matching-adjusted indirect comparisons&#44; or MAIC&#41;&#44; weighting individual patient data such that they become equivalent to RCTs for which only aggregate data are available&#46;<a class="elsevierStyleCrossRefs" href="#bib0080"><span class="elsevierStyleSup">16&#8211;19</span></a> There are other methods for indirect comparison with data from individual patients&#44; and recommendations have been published with a view to their use both in approval processes and reimbursement evaluations&#46;<a class="elsevierStyleCrossRef" href="#bib0100"><span class="elsevierStyleSup">20</span></a></p></li><li class="elsevierStyleListItem" id="lsti0030"><span class="elsevierStyleLabel">&#8226;</span><p id="par0115" class="elsevierStylePara elsevierViewall">Indirect comparisons with individual data for each treatment arm &#40;individual patient-level data&#44; or IPD&#41;&#46;</p></li></ul></p></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0040">Basic Concepts and Methodology for Indirect Treatment &#40;or Intervention&#41; Comparisons</span><p id="par0120" class="elsevierStylePara elsevierViewall">Randomization in RCTs enables the treatment effect to be separated from other factors and ensures baseline risk is balanced across treatment arms&#44; even in RCTs performed over different periods&#46; To maintain the effect of randomization in multiple comparisons&#44; Bucher et al&#46;<a class="elsevierStyleCrossRef" href="#bib0105"><span class="elsevierStyleSup">21</span></a> introduced the ITC method&#44; using OR as the effect measure&#44; although this is only applicable to indirect comparisons of treatments that have been compared with another common comparator&#46;<a class="elsevierStyleCrossRef" href="#bib0075"><span class="elsevierStyleSup">15</span></a> Subsequently&#44; Lumley et al&#46;<a class="elsevierStyleCrossRef" href="#bib0110"><span class="elsevierStyleSup">22</span></a> developed a technique &#40;NMA&#41; to compare 2 treatments via more than 1 common comparator&#44; including a measure of the possible inconsistency or discrepancy in results&#59; the approach was subsequently further developed&#46;<a class="elsevierStyleCrossRefs" href="#bib0115"><span class="elsevierStyleSup">23&#44;24</span></a> Finally&#44; Lu and Ades<a class="elsevierStyleCrossRef" href="#bib0125"><span class="elsevierStyleSup">25</span></a> incorporated direct comparisons &#40;H2H RCTs&#41; in a more sophisticated method denoted mixed treatment comparisons &#40;MTCs&#41;&#44; which enables different treatments to be ranked according to the probability that they are better or worse&#46;</p><p id="par0125" class="elsevierStylePara elsevierViewall">Indirect treatment comparisons require the clinical RCTs to be linked to form a network&#44; whether with open or closed loops&#44; if they include H2H RCTs &#40;direct evidence&#44; as well as indirect evidence&#41; &#40;<a class="elsevierStyleCrossRef" href="#fig0010">Fig&#46; 2</a>&#41;&#46; When we have H2H RCTs for some treatments&#44; or even RCTs with common treatment arms in addition to placebo&#44; NMAs are used to obtain estimates of the relative effect of different treatments with greater precision than pairwise MA and rank them coherently&#44; taking into account possible inconsistencies between the results of direct and indirect comparisons&#46;</p><elsevierMultimedia ident="fig0010"></elsevierMultimedia><p id="par0130" class="elsevierStylePara elsevierViewall">There are different guidelines for publishing RCTs&#44; MAs&#44; and NMAs&#59; PRISMA is the most relevant in the latter case&#46;<a class="elsevierStyleCrossRef" href="#bib0130"><span class="elsevierStyleSup">26</span></a> In NMAs&#44; it is essential to provide information on the network structure&#44; and to help with this task&#44; there are specific programs that produce diagrams in which the size of the circles is proportional to the number of patients randomized to each treatment &#40;or placebo&#41; and the width of the lines is proportional to the number of studies included in each comparison &#40;<a class="elsevierStyleCrossRef" href="#fig0015">Fig&#46; 3</a>&#41;&#46;<a class="elsevierStyleCrossRef" href="#bib0135"><span class="elsevierStyleSup">27</span></a></p><elsevierMultimedia ident="fig0015"></elsevierMultimedia><p id="par0135" class="elsevierStylePara elsevierViewall">NMAs can be performed within a frequentist or Bayesian framework&#46;<a class="elsevierStyleCrossRef" href="#bib0140"><span class="elsevierStyleSup">28</span></a></p><p id="par0140" class="elsevierStylePara elsevierViewall">In the former&#44; the result of the NMA is expressed as a point estimate of the relative efficacy of each treatment compared with the others&#44; with a 95&#37; CI&#59; if the NMAs were repeated&#44; the real value of the effect would lie within the CI 95&#37; of the time&#59; this does not mean that the probability of the real value lying within the CI is 95&#37;&#46;</p><p id="par0145" class="elsevierStylePara elsevierViewall">The Bayesian approach implies a subsequent distribution of probabilities based on the results of NMAs&#44; which enables the different treatments to be ranked according to their relative efficacy&#44;<a class="elsevierStyleCrossRef" href="#bib0145"><span class="elsevierStyleSup">29</span></a> thereby facilitating pharmacoeconomic decision making&#46; When treatment effects are evaluated&#44; it is generally assumed that the probability a priori is not informative&#44; although previous NMA data can be incorporated&#46;<a class="elsevierStyleCrossRef" href="#bib0150"><span class="elsevierStyleSup">30</span></a> Bayesian NMAs require extensive calculations with statistical packages that can run Markov Chain Monte Carlo &#40;MCMC&#41; simulations&#46; When significant heterogeneity is present among the RCTs included in the NMA&#44; it is recommended to adjust for baseline risk &#40;for example&#44; placebo effect&#41; taking into account multiple covariates&#44; whether observed or not&#44; and these are used to optimize the model&#46;<a class="elsevierStyleCrossRef" href="#bib0030"><span class="elsevierStyleSup">6</span></a> The equivalents of CIs for the relative effects of the different pairwise comparisons in the league tables are denoted by credibility intervals &#40;CrIs&#41; in the Bayesian framework&#46;</p><p id="par0150" class="elsevierStylePara elsevierViewall">The results of NMAs allow comparison of effects &#40;efficacy for example&#41; for each treatment relative to another&#46; The results are generally presented in the form of league tables &#40;<a class="elsevierStyleCrossRef" href="#fig0020">Fig&#46; 4</a>&#41;&#46;<a class="elsevierStyleCrossRef" href="#bib0155"><span class="elsevierStyleSup">31</span></a></p><elsevierMultimedia ident="fig0020"></elsevierMultimedia><p id="par0155" class="elsevierStylePara elsevierViewall">The ranking of the different treatments is based on calculation of surface under the cumulative ranking curve &#40;SUCRA&#41; &#40;<a class="elsevierStyleCrossRef" href="#fig0025">Fig&#46; 5</a>&#41;&#44;<a class="elsevierStyleCrossRef" href="#bib0135"><span class="elsevierStyleSup">27</span></a> which is expressed as a percentage and can be interpreted as the probability that all the other treatments are inferior&#46;<a class="elsevierStyleCrossRef" href="#bib0160"><span class="elsevierStyleSup">32</span></a> The estimated ranking for each drug in the NMA can also be represented with their corresponding 95&#37; CrI in the so-called ranking plots&#46; Although the SUCRA approach was developed in a Bayesian framework&#44; some programs allow SUCRA calculations in frequentist NMAs&#59; recently&#44; an index has been proposed &#40;<span class="elsevierStyleItalic">P</span>-score&#41;<a class="elsevierStyleCrossRef" href="#bib0165"><span class="elsevierStyleSup">33</span></a> which allows a similar ranking to be established in the frequentist framework&#46;</p><elsevierMultimedia ident="fig0025"></elsevierMultimedia><p id="par0160" class="elsevierStylePara elsevierViewall">Both ITCs and NMAs use aggregate data&#44; as provided in the publications&#44; in a systematic fashion&#44; following the guidelines of CONSORT and SPIRIT&#46;<a class="elsevierStyleCrossRef" href="#bib0130"><span class="elsevierStyleSup">26</span></a> When patient-level data for one of the treatments and placebo in several RCTs are available&#44; an indirect MAIC-type comparison can be performed&#44; and when individual data are available for several treatment arms&#44; an IPD analysis can be performed&#46;</p></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0045">Recent Examples of Indirect Comparisons of Psoriasis Treatments</span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0050">Network Meta-analyses &#40;NMAs&#41;</span><p id="par0165" class="elsevierStylePara elsevierViewall">In most psoriasis NMAs&#44; response data from several RCTs are compared at the end of the assessment period with placebo&#46;</p><p id="par0170" class="elsevierStylePara elsevierViewall">In a detailed frequentist NMA with 14 treatments and doses&#44; including placebo&#44; although with only 28 studies&#44;<a class="elsevierStyleCrossRef" href="#bib0135"><span class="elsevierStyleSup">27</span></a> the SUCRA and mean ranges corresponding to PASI 100 response rates of approved treatments were as follows&#58; brodalumab 210<span class="elsevierStyleHsp" style=""></span>mg 85&#46;0&#37;&#44; 2&#46;9&#59; ixekizumab 80<span class="elsevierStyleHsp" style=""></span>mg Q2W 83&#46;3&#37;&#44; 3&#46;2&#59; risankizumab 150<span class="elsevierStyleHsp" style=""></span>mg 71&#46;3&#37;&#44; 4&#46;7&#59; guselkumab 100<span class="elsevierStyleHsp" style=""></span>mg 61&#46;4&#37;&#44; 6&#59; secukinumab 300<span class="elsevierStyleHsp" style=""></span>mg 62&#46;4&#37;&#44; 5&#46;9&#59; ustekinumab 90<span class="elsevierStyleHsp" style=""></span>mg 34&#46;5&#37;&#44; 9&#46;5&#59; ustekinumab 45<span class="elsevierStyleHsp" style=""></span>mg 33&#46;1&#37;&#44; 9&#46;7&#59; tildrakizumab 100<span class="elsevierStyleHsp" style=""></span>mg 21&#46;9&#37;&#44; 11&#46;2&#46;</p><p id="par0175" class="elsevierStylePara elsevierViewall">A systematic review and Bayesian NMA included the biologic agents most recently approved by the European Medicines Agency &#40;EMA&#41; for the treatment of psoriasis and focused on PASI 50&#44; PASI 75&#44; PASI 90&#44; and PASI 100 response at 10 to 16 weeks&#46;<a class="elsevierStyleCrossRef" href="#bib0170"><span class="elsevierStyleSup">34</span></a> The analysis only considered RCTs with doses approved by the EMA and US Food and Drug Administration &#40;FDA&#41;&#46; Adjustment for placebo response &#40;determinant of RCT heterogeneity&#41; in the NMA improved the goodness of fit of the model&#46; The publication included difference in response and RR relative to placebo&#44; RR relative to the 6 most recently approved drugs&#44; and NNT&#46; The NNTs for PASI 100 response were below 3 in 4 of the treatments compared&#58; ixekizumab &#40;2&#46;49&#59; 95&#37; CrI 1&#46;66-4&#46;43&#41;&#44; risankizumab &#40;2&#46;55&#59; 95&#37; CrI 1&#46;69-4&#46;62&#41;&#44; brodalumab &#40;2&#46;60&#59; 95&#37; CrI 1&#46;17-4&#46;72&#41;&#44; and guselkumab &#40;2&#46;90&#59; 95&#37; CrI 1&#46;83-5&#46;52&#41;&#46; For reference&#44; the NNT for PASI 100 response calculated for adalimumab and ustekinumab was approximately 6&#46;</p><p id="par0180" class="elsevierStylePara elsevierViewall">A recent review by the Cochrane group&#44;<a class="elsevierStyleCrossRef" href="#bib0175"><span class="elsevierStyleSup">35</span></a> with a classic MA and a frequentist NMA&#44; included 113 references corresponding to 19 different treatments for moderate to severe plaque psoriasis&#44; including small molecules&#44; regardless of whether the dose used in the study was finally approved by the EMA&#46; The main outcome measure was the percentage of patients with PASI 90 response &#40;not PASI 100&#41; and the percentage of patients with serious adverse events &#40;SAEs&#41; at the end of the induction phase &#40;8-24 weeks&#41;&#46; The NMA method used was multivariate regression using Stata software&#46;</p><p id="par0185" class="elsevierStylePara elsevierViewall">The ranking according to SUCRA obtained in this non-Bayesian NMA is shown in <a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>&#46; The authors of this NMA combined the results for efficacy &#40;RR for achieving PASI 90 response compared with placebo&#41; and acceptability &#40;inverted RR values for SAEs compared with placebo&#41; in a 2-dimensional plot&#44; like the one used by the same authors<a class="elsevierStyleCrossRef" href="#bib0180"><span class="elsevierStyleSup">36</span></a> and other authors<a class="elsevierStyleCrossRef" href="#bib0185"><span class="elsevierStyleSup">37</span></a>&#59; risankizumab and bimekizumab &#40;with a single RCT&#41; were located in the upper right corner&#44; where the optimal treatments are located&#46; This NMA includes 6 sensitivity analyses selecting studies included according to additional parameters such as number of participants&#44; risk of bias&#44; dose used&#44; and time of assessment of induction response&#46;</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><p id="par0190" class="elsevierStylePara elsevierViewall">A Bayesian NMA underlies the 2020 rapid update to the British Association of Dermatology guidelines for the treatment of psoriasis with biologic agents&#46;<a class="elsevierStyleCrossRef" href="#bib0190"><span class="elsevierStyleSup">38</span></a> All data used in this NMA correspond to those published in the RCTs at 3-4 months of treatment&#59; the percentage of responders with complete or almost complete clearance&#44; change in Dermatology Life Quality Index &#40;DLQI&#41;&#44; and treatment discontinuations due to adverse events were assessed&#44; and a sensitivity analysis was performed with the doses approved by the EMA&#46; In the case of complete or almost complete clearance&#44; at the approved doses&#44; the available drugs were ranked as follows according to SUCRA and the mean rank&#58; risankizumab &#40;89&#46;9&#37;&#59; 2&#46;2&#41;&#59; ixekizumab &#40;87&#46;8&#37;&#59; 2&#46;5&#41;&#59; guselkumab &#40;80&#46;2&#37;&#59; 3&#46;4&#41;&#59; brodalumab &#40;74&#46;4&#37;&#59; 4&#46;1&#41;&#59; infliximab &#40;73&#46;5&#37;&#59; 4&#46;2&#41;&#59; secukinumab &#40;68&#46;8&#37;&#59; 4&#46;7&#41;&#59; adalimumab &#40;41&#46;1&#37;&#59; 8&#46;1&#41;&#59; ustekinumab &#40;40&#46;0&#37;&#59; 8&#46;2&#41;&#59; tildrakizumab &#40;37&#46;4&#37;&#59; 8&#46;5&#41;&#59; certolizumab pegol 200<span class="elsevierStyleHsp" style=""></span>mg &#40;30&#46;6&#37;&#59; 9&#46;3&#41;&#59; methotrexate &#40;14&#46;1&#37;&#59; 11&#46;3&#41;&#59; etanercept &#40;12&#46;3&#37;&#59; 11&#46;5&#41;&#44; and placebo &#40;0&#37;&#59; 13&#41;&#46;</p></span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0055">There Are Fewer Publications With Long-term NMA Outcomes &#40;After Approximately 1 Year&#41;</span><p id="par0195" class="elsevierStylePara elsevierViewall">A frequentist NMA of the efficacy of different treatments at 52 weeks published in 2019<a class="elsevierStyleCrossRef" href="#bib0195"><span class="elsevierStyleSup">39</span></a> included results for RR&#44; relative OR&#44; and SUCRA &#40;the first in the ranking of overall efficacy was brodalumab&#44; with 97&#37;&#44; followed by ixekizumab with 83&#37;&#41;&#59; however&#44; this NMA did not include clinical trials of either risankizumab or guselkumab&#46;</p><p id="par0200" class="elsevierStylePara elsevierViewall">A recent study updated this approach with a Bayesian NMA&#44; collecting efficacy data &#40;PASI 75&#44; PASI 90&#44; PASI 100 response rates&#41; up to week 48-52 from 28 RCTs&#44; of which 9 had H2H comparisons up to the end of the maintenance phase &#40;primary analysis&#41;&#59; the other RCTs were included in another analysis assuming that the responses compared with placebo at the end of induction &#40;double-blind comparison with placebo&#41; were sustained during maintenance &#40;secondary analysis&#41;&#46;</p><p id="par0205" class="elsevierStylePara elsevierViewall">The primary analysis showed that risankizumab is significantly superior to the other treatments &#40;except brodalumab and guselkumab&#41; at all levels of PASI response&#59; that brodalumab and guselkumab are superior to the other treatments except ixekizumab&#59; and that ixekizumab and secukinumab are superior to ustekinumab and adalimumab&#44; with etanercept being the least effective treatment&#46; The estimated NNT for PASI 100&#44; with ustekinumab as reference&#44; was 4 for risankizumab&#44; 5 for brodalumab and guselkumab&#44; 7 for ixekizumab&#44; and 9 for secukinumab&#46; The probabilities for PASI 100 response&#44; SUCRA&#44; and median ranks with 95&#37; CrI are shown in <a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>&#46; The secondary analysis&#44; including 14 treatments and placebo&#44; yielded results consistent with the primary analysis &#40;<a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>&#41;&#46;</p><elsevierMultimedia ident="tbl0010"></elsevierMultimedia><p id="par0210" class="elsevierStylePara elsevierViewall">A recent publication included all biologic agents currently approved in the European Union&#44; studying both short-term outcomes &#40;10-16 weeks&#41; and at the end of the maintenance phase of the RCTs &#40;44-60 weeks&#41;&#46;<a class="elsevierStyleCrossRef" href="#bib0205"><span class="elsevierStyleSup">41</span></a> Firstly&#44; the authors undertook a systematic literature review according to the PRISMA guidelines&#44;<a class="elsevierStyleCrossRef" href="#bib0210"><span class="elsevierStyleSup">42</span></a> which included phase 2&#44; 3&#44; or 4 clinical trials in adult patients with moderate to severe psoriasis&#44; with EMA-approved treatments and treatment regimens&#46;</p><p id="par0215" class="elsevierStylePara elsevierViewall">To compare the responses at 10-16 weeks&#44; a Bayesian random-effects NMA with an ordinal model was undertaken&#59; the response was adjusted for placebo response to take into account the heterogeneity of the RCTs&#46;<a class="elsevierStyleCrossRef" href="#bib0030"><span class="elsevierStyleSup">6</span></a> As a measure of treatment effect&#44; the response rates were estimated using the posterior median &#40;in the Bayesian sense&#41; and the corresponding 95&#37; CrI&#44; as well as the NNT&#46; Pairwise comparisons were also undertaken for the different treatments with risankizumab&#44; ixekizumab&#44; brodalumab&#44; and guselkumab&#46; The statistical package used was described in detail &#40;R and WinBUGS&#44; with noninformative a priori probabilities&#41; and sensitivity analyses were performed excluding country-specific RCTs&#44; including only phase 3 RCTs&#44; and including additional conventional treatments&#46;</p><p id="par0220" class="elsevierStylePara elsevierViewall">In the short term&#44; risankizumab&#44; ixekizumab&#44; brodalumab&#44; and guselkumab had significantly greater response rates than other treatments &#40;including infliximab and secukinumab in all cases except guselkumab&#41;&#44; without significant differences between the 4 treatments&#46; The corresponding posterior medians for the response rates in the 4 treatments were greater than 85&#37; for PASI 75&#44; 66&#37; for PASI 90&#44; and 35&#37; for PASI 100&#46; The corresponding NNTs with their 95&#37; CrIs are shown in <a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a>&#46; The results of the sensitivity analyses supported those of the main analysis&#46;</p><elsevierMultimedia ident="tbl0015"></elsevierMultimedia><p id="par0225" class="elsevierStylePara elsevierViewall">The analysis of long-term efficacy was hindered by patients crossing over to a different treatment arm and the selection of responders&#59; several RCTs were therefore excluded&#46; Only 22 RCTs were included and a traditional random-effects MA was performed to estimate PASI 75&#44; PASI 90&#44; and PASI 100 response rates&#44; making pairwise comparisons with risankizumab&#44; ixekizumab&#44; brodalumab&#44; and guselkumab&#44; and calculating the respective OR and 95&#37; CIs&#46; Sensitivity analyses were performed excluding country-specific RCTs&#44; including only phase 3 RCTs&#44; and including only RCTs with non-response imputation &#40;NRI&#41;&#46;</p><p id="par0230" class="elsevierStylePara elsevierViewall">The PASI 90 and PASI 100 response rates at 44-60 weeks estimated in the random-effects MA are shown in <a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a>&#46; In <a class="elsevierStyleCrossRef" href="#tbl0020">Table 4</a>&#44; the pairwise comparisons &#40;OR&#41; between the 5 treatments with greatest response in the long term are shown &#40;data from <a class="elsevierStyleCrossRef" href="#fig0010">Fig&#46; 2</a> of the original publication&#41;&#46;<a class="elsevierStyleCrossRef" href="#bib0205"><span class="elsevierStyleSup">41</span></a></p><elsevierMultimedia ident="tbl0020"></elsevierMultimedia><p id="par0235" class="elsevierStylePara elsevierViewall">In order to assess whether the MA<a class="elsevierStyleCrossRef" href="#bib0215"><span class="elsevierStyleSup">43</span></a> could have an impact on the results&#44; a fixed-effects Bayesian NMA was performed&#44; including RCTs that maintained randomized treatment through week 52 &#40;7 RCTs corresponding to 6 treatments&#41;&#46; The corresponding network diagram obtained from data in the original publication is shown in <a class="elsevierStyleCrossRef" href="#fig0030">Fig&#46; 6</a>&#46; <a class="elsevierStyleCrossRef" href="#tbl0025">Table 5</a> shows the detailed league table of pairwise comparisons &#40;OR&#41; of this NMA&#46;</p><elsevierMultimedia ident="fig0030"></elsevierMultimedia><elsevierMultimedia ident="tbl0025"></elsevierMultimedia><p id="par0240" class="elsevierStylePara elsevierViewall">The results of this NMA<a class="elsevierStyleCrossRef" href="#bib0205"><span class="elsevierStyleSup">41</span></a> can be complemented with the corresponding safety results &#40;SAEs and discontinuations due to AEs in the RCTs&#41; and the impact on quality of life &#40;percentage with DLQI 0&#47;1 response&#41; at the end of induction or the time of assessment of the primary efficacy endpoint in the RCTs &#40;week 12-16&#41;&#44; which have been presented as poster in the World Congress of Dermatology in Milan&#44; Italy&#44; in 2019 &#40;Shear et al&#46; Poster 6284&#41; and the 28th Congress of the European Academy of Dermatology and Venereology in Madrid in 2019 &#40;Warren RB&#44; et al&#46; Poster 1716&#41;&#46; The results of these pairwise comparisons of risankizumab with the other drugs are shown in <a class="elsevierStyleCrossRef" href="#tbl0030">Table 6</a>&#46;</p><elsevierMultimedia ident="tbl0030"></elsevierMultimedia></span></span></span><span id="sec0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0060">Matching-Adjusted Indirect Comparisons &#40;MAICs&#41;</span><p id="par0245" class="elsevierStylePara elsevierViewall">When there is an imbalance in known modifiers &#40;covariates&#41; of the treatment effect and individual patient data are available&#44; MAICs may be preferable to ITCs and NMAs&#44; reducing bias&#46; A recent MAIC that serves as an example compares the efficacy of ixekizumab and secukinumab<a class="elsevierStyleCrossRef" href="#bib0220"><span class="elsevierStyleSup">44</span></a> using individual patient data from treatment with ixekizumab in RCTs that used placebo&#44; etanercept&#44; or ustekinumab as comparators&#44; adjusting them &#40;removing cases from the analysis or weighting their representation in the treatment arm&#41; for certain covariates such as baseline weight&#44; duration of psoriasis&#44; or prior systemic treatment&#46; An ITC was then performed&#44; anchored using the Bucher method using the effect measures &#40;risk difference and OR&#41; resulting from the adjustment of the individual data from ixekizumab to the aggregate data from the RCTs of secukinumab for each of the comparisons &#40;placebo&#44; etanercept&#44; and ustekinumab&#41;&#46; A series of MAICs and ITCs were performed for each comparison&#59; as 2 results were obtained &#40;that is&#44; via etanercept and via ustekinumab&#41; for each indirect comparison of ixekizumab with secukinumab&#44; the authors performed an MA of these results with a fixed-effects model&#46;<a class="elsevierStyleCrossRef" href="#bib0220"><span class="elsevierStyleSup">44</span></a></p><span id="sec0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0065">Indirect Patient Data &#40;IPD&#41; Comparisons</span><p id="par0250" class="elsevierStylePara elsevierViewall">In another publication&#44; an indirect comparison of guselkumab was performed with ustekinumab using IPD from different RCTs with the same sponsor and adjusting for differences in covariates using a multivariate regression model&#46;<a class="elsevierStyleCrossRef" href="#bib0225"><span class="elsevierStyleSup">45</span></a> This publication also illustrates the potential limitations of the inclusion of RCTs with arms in which there is a partial unblinding or enrichment of a given arm because of switching following prior response&#44; but the sensitivity analyses supported the results obtained&#46;</p></span></span><span id="sec0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0070">Conclusion</span><p id="par0255" class="elsevierStylePara elsevierViewall">The use of traditional MAs and NMAs &#40;frequentist and Bayesian&#41; incorporates information from RCTs and enables indirect and mixed comparisons of efficacy between different treatments&#44; providing a ranking&#46; When interpreting and comparing the results from different MAs and NMAs&#44; it is important to keep in mind the methodology used and the design of the studies included in the comparison&#46; With all the limitations inherent in the extrapolation of RCTs to clinical practice settings&#44; these results may be useful for clinicians and regulatory or reimbursement agencies&#44; as illustrated by the example of moderate to severe psoriasis&#46; Based on the different NMAs&#44; the 4 most effective treatments &#40;in terms of PASI 90 and PASI 100 response&#41; both in the short term &#40;10-16 weeks of treatment&#41; and long term &#40;approximately 1 year of treatment&#41; are risankizumab&#44; brodalumab&#44; ixekizumab&#44; and guselkumab&#44; in this order approximately&#44; although the differences between them are not always significant&#46;</p></span><span id="sec0055" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0075">Conflicts of Interest</span><p id="par0260" class="elsevierStylePara elsevierViewall">Dr&#46; L&#46; Puig has received consultant and&#47;or speaker fees from Abbvie&#174;&#44; Almirall&#174;&#44; Amgen&#174;&#44; Baxalta&#174;&#44; Biogen&#174;&#44; Boehringer Ingelheim&#174;&#44; Celgene&#174;&#44; Fresenius-Kabi&#174;&#44; Gebro&#174;&#44; Janssen&#174;&#44; JS BIOCAD&#174;&#44; Leo-Pharma&#174;&#44; Lilly&#174;&#44; Merck-Serono&#174;&#44; MSD&#174;&#44; Mylan&#174;&#44; Novartis&#174;&#44; Pfizer&#174;&#44; Regeneron&#174;&#44; Roche&#174;&#44; Sandoz&#174;&#44; Samsung-Bioepis&#174;&#44; Sanofi&#174;&#44; UCB&#174;&#46; He has also participated in clinical trials sponsored by&#58; Abbvie&#174;&#44; Almirall&#174;&#44; Amgen&#174;&#44; Boehringer Ingelheim&#174;&#44; Celgene&#174;&#44; Janssen&#174;&#44; Leo-Pharma&#174;&#44; Lilly&#174;&#44; Novartis&#174;&#44; Pfizer&#174;&#44; Regeneron&#174;&#44; Roche&#174;&#44; Sanofi&#174;&#44; and UCB&#174;&#46;</p></span></span>"
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          "titulo" => "Introduction"
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            0 => array:2 [
              "identificador" => "sec0010"
              "titulo" => "Development of Biologic Agents to Treat Psoriasis"
            ]
            1 => array:2 [
              "identificador" => "sec0015"
              "titulo" => "Efficacy and Safety Comparisons"
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            2 => array:2 [
              "identificador" => "sec0020"
              "titulo" => "Basic Concepts and Methodology for Indirect Treatment &#40;or Intervention&#41; Comparisons"
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            3 => array:3 [
              "identificador" => "sec0025"
              "titulo" => "Recent Examples of Indirect Comparisons of Psoriasis Treatments"
              "secciones" => array:2 [
                0 => array:2 [
                  "identificador" => "sec0030"
                  "titulo" => "Network Meta-analyses &#40;NMAs&#41;"
                ]
                1 => array:2 [
                  "identificador" => "sec0035"
                  "titulo" => "There Are Fewer Publications With Long-term NMA Outcomes &#40;After Approximately 1 Year&#41;"
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          "identificador" => "sec0040"
          "titulo" => "Matching-Adjusted Indirect Comparisons &#40;MAICs&#41;"
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              "identificador" => "sec0045"
              "titulo" => "Indirect Patient Data &#40;IPD&#41; Comparisons"
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        6 => array:2 [
          "identificador" => "sec0050"
          "titulo" => "Conclusion"
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        7 => array:2 [
          "identificador" => "sec0055"
          "titulo" => "Conflicts of Interest"
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        8 => array:1 [
          "titulo" => "References"
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    "pdfFichero" => "main.pdf"
    "tienePdf" => true
    "fechaRecibido" => "2020-05-07"
    "fechaAceptado" => "2020-10-01"
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        0 => array:4 [
          "clase" => "keyword"
          "titulo" => "Keywords"
          "identificador" => "xpalclavsec1341919"
          "palabras" => array:10 [
            0 => "Efficacy"
            1 => "Psoriasis"
            2 => "Meta-analysis"
            3 => "Network meta-analysis"
            4 => "Indirect comparisons"
            5 => "Research design"
            6 => "Risankizumab"
            7 => "Brodalumab"
            8 => "Guselkumab"
            9 => "Ixekizumab"
          ]
        ]
      ]
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        0 => array:4 [
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          "palabras" => array:10 [
            0 => "Eficacia"
            1 => "Psoriasis"
            2 => "Metaan&#225;lisis"
            3 => "Metaan&#225;lisis en red"
            4 => "Comparaciones indirectas"
            5 => "Metodolog&#237;a"
            6 => "Risankizumab"
            7 => "Brodalumab"
            8 => "Guselkumab"
            9 => "Ixekizumab"
          ]
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    "resumen" => array:2 [
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        "titulo" => "Abstract"
        "resumen" => "<span id="abst0005" class="elsevierStyleSection elsevierViewall"><p id="spar0140" class="elsevierStyleSimplePara elsevierViewall">Meta-analysis offers a way to assess the clinical efficacy of a treatment by combining the results of randomized clinical trials while maintaining randomization&#59; the combined effects&#44; with their confidence intervals&#44; can be represented with a forest plot&#46; The efficacy of several different treatment options can be assessed with either direct or indirect comparisons&#46; Indirect comparisons may be placebo-anchored as well as network meta-analyses &#40;NMA&#41; that use either a frequentist or Bayesian approach&#44; depending on the statistical framework and the definition of probability selected&#46; Indirect comparisons may also adjust for covariates or utilize individual participant data&#46; Bayesian NMA are able to establish a rank order of efficacy based on probabilities or credibility intervals&#44; which can be described by the surface under the cumulative ranking curve &#40;SUCRA&#41;&#46; Statistical superiority is demonstrated by pairwise comparisons&#44; which are generally presented in league tables&#46; This review provides clinical practitioners with detailed descriptions of these methods&#44; drawing on examples from recently published NMA that rank the relative efficacy of biologic treatments for moderate to severe psoriasis&#46; According to NMA findings&#44; the four most effective treatments in both the short term &#40;10-16 weeks&#41; and the long term &#40;approximately one year&#41; are&#44; in rank order&#44; risankizumab &#40;first in all studies that include it&#41;&#44; brodalumab&#44; guselkumab&#44; and ixekizumab&#46; However&#44; the between-treatment differences are not always significant&#46;</p></span>"
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      "es" => array:2 [
        "titulo" => "Resumen"
        "resumen" => "<span id="abst0010" class="elsevierStyleSection elsevierViewall"><p id="spar0145" class="elsevierStyleSimplePara elsevierViewall">El metaan&#225;lisis &#40;MA&#41; permite evaluar la eficacia cl&#237;nica de un tratamiento al agregar los resultados de varios ensayos cl&#237;nicos &#40;RCT&#41; preservando la aleatorizaci&#243;n&#59; los efectos agregados &#40;con sus intervalos de confianza&#41; pueden representarse mediante un diagrama de &#171;bosque&#187;&#46; Para comparar la eficacia de diversas opciones terap&#233;uticas se pueden utilizar comparaciones directas o indirectas&#46; Estas &#250;ltimas incluyen comparaciones indirectas de tratamientos ancladas a placebo&#44; MA en red &#40;NMA&#41; &#40;que a su vez pueden ser frecuentistas o bayesianos&#44; dependiendo del marco estad&#237;stico y la definici&#243;n de probabilidad elegida&#41;&#44; comparaciones indirectas de tratamientos ajustadas seg&#250;n covariables&#44; y comparaciones indirectas con datos individuales&#46; Los NMA bayesianos permiten establecer un orden de eficacia basado en probabilidades o intervalos de credibilidad&#44; que pueden describirse con el &#225;rea bajo la curva de probabilidad de rango acumulativa &#40;SUCRA&#41;&#44; y la superioridad estad&#237;stica se demuestra mediante comparaciones a pares&#44; que generalmente se presentan en forma de tablas de liga&#46; La presente revisi&#243;n&#44; orientada a un lector cl&#237;nico&#44; describe estos aspectos metodol&#243;gicos con detalle empleando como ejemplo las recientes publicaciones de NMA que permiten establecer la eficacia relativa de los tratamientos biol&#243;gicos de la psoriasis moderada a grave&#46; Sobre la base de distintos NMA&#44; los cuatro tratamientos m&#225;s eficaces tanto a corto &#40;10-16 semanas de tratamiento&#41; como a largo plazo &#40;aproximadamente un a&#241;o&#41; son risankizumab &#40;n&#250;mero uno de orden en todos los estudios que lo incluyen&#41;&#44; seguido de brodalumab&#44; guselkumab e ixekizumab&#44; aunque las diferencias entre ellos no siempre resultan significativas&#46;</p></span>"
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    "NotaPie" => array:1 [
      0 => array:2 [
        "etiqueta" => "&#9734;"
        "nota" => "<p class="elsevierStyleNotepara" id="npar0005">Please cite this article as&#58; Puig L&#46; Metaan&#225;lisis y comparaciones indirectas&#46; M&#233;todos y paradigma&#58; tratamiento biol&#243;gico de la psoriasis&#46; Actas Dermosifiliogr&#46; 2021&#59;112&#58;203&#8211;215&#46;</p>"
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          "en" => "<p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">Example of forest plots corresponding to 2 pairwise random-effects MAs&#59; the effects &#40;RR for PASI 90 response&#41; were estimated using the Mantel-Haenszel &#40;&#40;M-H&#41;&#41; method and different measures of heterogeneity have been calculated&#46;</p> <p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">Modified from Cameron et al&#46;<a class="elsevierStyleCrossRef" href="#bib0030"><span class="elsevierStyleSup">6</span></a></p>"
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          "en" => "<p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">Classification and nomenclature of indirect comparisons of interventions &#40;treatments&#41; and their diagrams&#46; In the broadest sense&#44; all indirect comparisons are NMAs&#44; unlike traditional MA&#44; which do not simultaneously compare several treatments but rather pool different RCTs comparing 2 interventions&#44; for example&#44; treatment versus placebo&#46; Bucher<a class="elsevierStyleCrossRef" href="#bib0105"><span class="elsevierStyleSup">21</span></a> introduced ITCs to indirectly compare 2 treatments that have been compared directly with placebo in different RCTs&#46; Lumley et al&#46;<a class="elsevierStyleCrossRef" href="#bib0110"><span class="elsevierStyleSup">22</span></a> developed NMAs in the strict sense of the term to compare 2 treatments via more than 1 common comparator&#46; Lu and Ades<a class="elsevierStyleCrossRef" href="#bib0125"><span class="elsevierStyleSup">25</span></a> introduced the method of MTCs&#44; which include both indirect comparisons and direct comparisons by means of H2H RCTs &#40;closed loops&#41; and enable a probable efficacy ranking of different treatments to be established&#46;</p>"
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        "etiqueta" => "Fig&#46; 3"
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          "en" => "<p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">Example of an NMA network diagram for PASI 90 results at 12 or 16 weeks of biologic treatment for psoriasis&#46;<a class="elsevierStyleCrossRef" href="#bib0135"><span class="elsevierStyleSup">27</span></a> The size of the nodes represents the sample size of the interventions and the widths of the lines the number of studies included&#46;</p> <p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">Abbreviations&#58; ADA&#44; adalimumab&#59; APR&#44; apremilast&#59; BIW&#44; twice weekly&#44; BRO&#44; brodalumab&#59; ENT&#44; etanercept&#59; GUS&#44; guselkumab&#59; IFX&#44; infliximab&#59; IXE&#44; ixekizumab&#59; PBO&#44; placebo&#59; QW&#44; once a week&#59; Q2W&#44; every 2 weeks&#59; SEC&#44; secukinumab&#59; UST&#44; ustekinumab&#46;</p> <p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">Modified from Cameron et al&#46;<a class="elsevierStyleCrossRef" href="#bib0030"><span class="elsevierStyleSup">6</span></a></p>"
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        "mostrarFloat" => true
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          "en" => "<p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">Example of league table for a frequentist random-effects NMA showing RR outcomes for PASI 90 response adjusted for baseline risk&#46; The treatments are ordered left to right by decreasing SUCRA rank&#46; The effect estimate &#40;efficacy&#41; is the RR of the treatment defined by the column with respect to that defined by the row&#59; if the 95&#37; CI does not include 1&#44; RR&#62;1 favors the treatment defined in the column&#44; RR&#60;1 favors treatment defined in the row&#46;</p> <p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">Extracted from Cameron et al&#46;<a class="elsevierStyleCrossRef" href="#bib0030"><span class="elsevierStyleSup">6</span></a></p>"
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        "identificador" => "fig0025"
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          "en" => "<p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Illustration of SUCRA values&#46;<a class="elsevierStyleCrossRef" href="#bib0135"><span class="elsevierStyleSup">27</span></a> The ranking plot &#40;not represented&#41; would give the probability of the rank order&#44; that is&#44; that each treatment was the best&#44; second&#44; third&#44; etc&#46;&#44; following a normal distribution or another type of distribution&#46; SUCRA is the surface under the cumulative ranking curve&#46; The horizontal axis represents the possible rank for each treatment &#40;from being the best <a class="elsevierStyleCrossRef" href="#bib0005">&#91;1&#93;</a> to the worst &#91;14 in this case&#93; from left to right&#41;&#46; On the vertical axis&#44; the cumulative probability that each treatment is the best option&#44; the first or second best option&#44; one of the best 3 options&#44; etc&#46; If a treatment has 100&#37; probability of being the best&#44; the y value will be 1 &#40;100&#37;&#41; and the curve will be a horizontal line &#40;100&#37; SUCRA&#41;&#59; the curve for a treatment &#40;for example&#44; placebo&#41; that had 100&#37; probability of being the worst would be represented by a horizontal line to the last position where it would increase to 1 &#40;SUCRA 0&#37;&#41;&#46; The intermediate SUCRA values can be considered as the percentage of area under curve compared to the rectangle that represents 100&#37;&#44; and enable different treatments to be ranked&#46; Another way of interpreting SUCRA for a given treatment is as the probability &#40;expressed as a percentage&#41; that the other treatments are worse&#46;</p> <p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">A&#44; brodalumab 140<span class="elsevierStyleHsp" style=""></span>mg&#59; B&#44; brodalumab 210<span class="elsevierStyleHsp" style=""></span>mg&#59; C&#44; guselkumab 100<span class="elsevierStyleHsp" style=""></span>mg&#59; D&#44; guselkumab 50<span class="elsevierStyleHsp" style=""></span>mg&#59; E&#44; ixekizumab 80<span class="elsevierStyleHsp" style=""></span>mg Q2W&#59; F&#44; ixekizumab 80<span class="elsevierStyleHsp" style=""></span>mg Q4W&#59; G&#44; placebo&#59; H&#44; risankizumab 150<span class="elsevierStyleHsp" style=""></span>mg&#59; I&#44; secukinumab 150<span class="elsevierStyleHsp" style=""></span>mg&#59; J&#44; secukinumab 300<span class="elsevierStyleHsp" style=""></span>mg&#59; K&#44; tildrakizumab 100<span class="elsevierStyleHsp" style=""></span>mg&#59; L&#44; tildrakizumab 200<span class="elsevierStyleHsp" style=""></span>mg&#59; M&#44; ustekinumab 45<span class="elsevierStyleHsp" style=""></span>mg&#59; and N&#44; ustekinumab 90<span class="elsevierStyleHsp" style=""></span>mg&#46;</p>"
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        "etiqueta" => "Fig&#46; 6"
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          "en" => "<p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">Network diagram of Bayesian fixed-effects NMA performed with RCTs that maintained randomized treatment through week 52&#46;</p> <p id="spar0060" class="elsevierStyleSimplePara elsevierViewall">Extracted from Armstrong et al&#46;<a class="elsevierStyleCrossRef" href="#bib0205"><span class="elsevierStyleSup">41</span></a></p>"
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                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Treatment&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">RR PASI 90 &#40;95&#37; CI&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">SUCRA &#37;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Infliximab&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">29&#46;52 &#40;19&#46;94-43&#46;70&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">88&#46;5&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Ixekizumab&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">28&#46;12 &#40;23&#46;17-34&#46;12&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">88&#46;3&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Risankizumab&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">27&#46;67 &#40;22&#46;86-33&#46;49&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">87&#46;5&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Bimekizumab&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">58&#46;64 &#40;3&#46;72-923&#46;86&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">83&#46;5&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Guselkumab&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">25&#46;84 &#40;20&#46;90-31&#46;95&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">81&#46;0&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Secukinumab&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">23&#46;97 &#40;20&#46;03-28&#46;70&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">75&#46;4&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Brodalumab&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">21&#46;96 &#40;18&#46;17-26&#46;53&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">68&#46;7&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Tildrakizumab&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">17&#46;26 &#40;8&#46;27-36&#46;05&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">55&#46;8&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Ustekinumab&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">20&#46;02 &#40;13&#46;01-30&#46;81&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">55&#46;6&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Adalimumab&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">13&#46;13 &#40;8&#46;01-21&#46;53&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">58&#46;1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
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          "en" => "<p id="spar0065" class="elsevierStyleSimplePara elsevierViewall">Ranking by RR &#40;95&#37; CI&#41; Compared With Placebo of PASI 90 and SUCRA&#44; Based on the Frequentist Random-Effects NMA of Sbidian et al&#46;<a class="elsevierStyleCrossRef" href="#bib0175"><span class="elsevierStyleSup">35</span></a></p>"
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        "etiqueta" => "Table 2"
        "tipo" => "MULTIMEDIATABLA"
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          "leyenda" => "<p id="spar0075" class="elsevierStyleSimplePara elsevierViewall">Abbreviations&#58; BIW&#44; biweekly&#59; QW&#44; every week&#46;</p><p id="spar0080" class="elsevierStyleSimplePara elsevierViewall">The primary analysis includes H2H RCTs up to the end of maintenance treatment&#59; the secondary analysis assumes that the responses at the end of the phase compared with placebo persist through to the end of maintenance&#46; Ranking by probability estimate of PASI 100 response compared with placebo&#44; SUCRA&#44; and ranking &#40;95&#37; CrI&#41;&#46; In <a class="elsevierStyleCrossRef" href="#fig0030">Fig&#46; 6</a> of the corresponding publication &#40;not displayed&#41;&#44; a ranking plot of the secondary analysis is displayed&#44; with the range &#40;or rank number&#41; on the abscissa and the SUCRA on the ordinate axis&#46;<a class="elsevierStyleCrossRef" href="#bib0200"><span class="elsevierStyleSup">40</span></a></p>"
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                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col">Treatment&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td-with-role" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t ; entry_with_role_colgroup " colspan="3" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Primary Analysis &#40;8 Treatments&#41;</th><th class="td-with-role" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t ; entry_with_role_colgroup " colspan="3" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Secondary Analysis &#40;14 Treatments and Placebo&#41;</th></tr><tr title="table-row"><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Probability PASI 100&#37;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">SUCRA &#37;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Rank &#40;95&#37; CrI&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Probability PASI 100&#37;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">SUCRA &#37;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Rank &#40;95&#37; CrI&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Risankizumab 150<span class="elsevierStyleHsp" style=""></span>mg&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">61&#46;1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">97&#46;3&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1 &#40;1-3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">58&#46;9&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">98&#46;2&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1 &#40;1-3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Brodalumab 210<span class="elsevierStyleHsp" style=""></span>mg&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">54&#46;5&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">78&#46;8&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2 &#40;1-4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">53&#46;3&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">89&#46;2&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2 &#40;1-4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Guselkumab 100<span class="elsevierStyleHsp" style=""></span>mg&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">54&#46;2&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">78&#46;2&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">3 &#40;1-4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">53&#46;3&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">89&#46;6&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2 &#40;1-4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Ixekizumab 80<span class="elsevierStyleHsp" style=""></span>mg&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">46&#46;1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">57&#46;1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">4 &#40;2-5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">45&#46;6&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">76&#46;7&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">4 &#40;3-7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Secukinumab 300<span class="elsevierStyleHsp" style=""></span>mg&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">40&#46;9&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">45&#46;7&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">5 &#40;4-5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">40&#46;6&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">67&#46;9&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">5 &#40;4-8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Ustekinumab 45<span class="elsevierStyleHsp" style=""></span>mg &#40;&#60;100<span class="elsevierStyleHsp" style=""></span>kg&#41; or 90<span class="elsevierStyleHsp" style=""></span>mg &#40;&#8805;100<span class="elsevierStyleHsp" style=""></span>kg&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">28&#46;9&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">24&#46;3&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">6 &#40;6-7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">27&#46;8&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">40&#46;3&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">9 &#40;7-12&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Adalimumab 40<span class="elsevierStyleHsp" style=""></span>mg&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">26&#46;4&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">18&#46;4&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">7 &#40;6-7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">25&#46;6&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">34&#46;4&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">10 &#40;7-12&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Etanercept 25<span class="elsevierStyleHsp" style=""></span>mg&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">16&#46;8&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">8 &#40;8-8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">16&#46;9&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">16&#46;5&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">13 &#40;11-13&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " colspan="7" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">BIW&#47;50<span class="elsevierStyleHsp" style=""></span>mg QW</td></tr></tbody></table>
                  """
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          "en" => "<p id="spar0070" class="elsevierStyleSimplePara elsevierViewall">Results &#40;for PASI 100 Response&#41; of a Frequentist NMA with Efficacy Data Through Week 48-52&#46;<a class="elsevierStyleCrossRef" href="#bib0200"><span class="elsevierStyleSup">40</span></a></p>"
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          "leyenda" => "<p id="spar0090" class="elsevierStyleSimplePara elsevierViewall">The 4 significantly superior treatments according to the Bayesian NMA and the 5 according to the random-effects MA &#40;pairwise comparison of ORs&#41; are highlighted in boldface&#59; data corresponding to other treatments are included for comparison&#46;</p>"
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              "tabla" => array:1 [
                0 => """
                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col">Treatment&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td-with-role" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t ; entry_with_role_colgroup " colspan="2" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Short Term &#40;Bayesian NMA&#41;</th><th class="td-with-role" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t ; entry_with_role_colgroup " colspan="2" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Long Term &#40;Random-effects MA&#41;</th></tr><tr title="table-row"><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">NNT for PASI 90&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">NNT for PASI 100&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Probability of Response PASI90&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Probability of Response PASI100&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">Risankizumab</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">1&#46;42 &#40;1&#46;35-1&#46;51&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">2&#46;48 &#40;2&#46;23-2&#46;79&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">79&#46;4 &#40;75&#46;5-82&#46;9&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">56&#46;2 &#40;52&#46;4-59&#46;9&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">Ixekizumab</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">1&#46;43 &#40;1&#46;36-1&#46;52&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">2&#46;54 &#40;2&#46;28-2&#46;85&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">73&#46;9 &#40;69&#46;9-77&#46;5&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">54&#46;3 &#40;50&#46;0-58&#46;5&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">Brodalumab</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">1&#46;44 &#40;1&#46;36-1&#46;52&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">2&#46;56 &#40;2&#46;28-2&#46;85&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">74&#46;0 &#40;69&#46;3-78&#46;1&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">54&#46;5 &#40;49&#46;5-59&#46;4&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">Guselkumab</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">1&#46;51 &#40;1&#46;41-1&#46;63&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">2&#46;81 &#40;2&#46;46-3&#46;25&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">76&#46;5 &#40;72&#46;1-80&#46;5&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">47&#46;4 &#40;42&#46;5-52&#46;4&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">Secukinumab</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;66 &#40;1&#46;55-1&#46;78&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">3&#46;36 &#40;2&#46;96-3&#46;82&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">71&#46;3 &#40;64&#46;2-77&#46;5&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">42&#46;4 &#40;38&#46;5-46&#46;4&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Infliximab&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;78 &#40;1&#46;62-1&#46;96&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">3&#46;79 &#40;3&#46;21-4&#46;50&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">40&#46;1 &#40;30&#46;0-51&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Not available&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Ustekinumab&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2&#46;34 &#40;2&#46;14-2&#46;56&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">6&#46;02 &#40;5&#46;21-6&#46;99&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">52&#46;4 &#40;47&#46;1-57&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">31&#46;0 &#40;27&#46;2-35&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Adalimumab&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2&#46;35 &#40;2&#46;16-2&#46;57&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">6&#46;10 &#40;5&#46;29-7&#46;09&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">46&#46;2 &#40;38&#46;6-53&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">24&#46;2 &#40;18&#46;8-30&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
              ]
              "imagenFichero" => array:1 [
                0 => "xTab2535807.png"
              ]
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          ]
        ]
        "descripcion" => array:1 [
          "en" => "<p id="spar0085" class="elsevierStyleSimplePara elsevierViewall">Number of Patients Needed to Treat &#40;NNT&#41; to Achieve PASI 90 or PASI 100 Response &#40;95&#37; CI&#41; in the Short Term &#40;10-16 Weeks&#41; and Probability of PASI 90 or PASI 100 Response &#40;95&#37; CI&#41; in the Long Term &#40;44-60 Weeks&#41; Estimated With a Traditional Random-Effects MA for the Best Biologic Treatments&#46;<a class="elsevierStyleCrossRef" href="#bib0205"><span class="elsevierStyleSup">41</span></a></p>"
        ]
      ]
      9 => array:8 [
        "identificador" => "tbl0020"
        "etiqueta" => "Table 4"
        "tipo" => "MULTIMEDIATABLA"
        "mostrarFloat" => true
        "mostrarDisplay" => false
        "detalles" => array:1 [
          0 => array:3 [
            "identificador" => "at0050"
            "detalle" => "Table "
            "rol" => "short"
          ]
        ]
        "tabla" => array:2 [
          "leyenda" => "<p id="spar0100" class="elsevierStyleSimplePara elsevierViewall">Data are provided as estimated OR &#40;95&#37; CI&#41;&#46;</p><p id="spar0105" class="elsevierStyleSimplePara elsevierViewall">In the lower triangle &#40;PASI 100&#41;&#44; the effect estimate &#40;efficacy&#41; is the estimated OR of the treatment defined by the column with respect to that defined by the row&#59; if the 95&#37; CI does not include 1&#44; OR&#62;1 favors the treatment defined in the column&#44; OR<span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>1 favors treatment defined by the row&#46;</p><p id="spar0110" class="elsevierStyleSimplePara elsevierViewall">In the upper triangle &#40;PASI 90&#41;&#44; the effect estimate &#40;efficacy&#41; is the estimated OR for treatment defined by the row with respect to the treatment defined by the column&#46; If the 95&#37; CI does not include 1&#44; OR&#62;1 favors the treatment defined by the row&#44; OR&#60;1 favors the treatment defined by the column&#46; Significant comparisons are highlighted in boldface&#46;</p>"
          "tablatextoimagen" => array:1 [
            0 => array:2 [
              "tabla" => array:1 [
                0 => """
                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " colspan="5" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">PASI 90</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">Risankizumab 150</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleBold">mg</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">1&#46;36 &#40;1&#46;01-1&#46;84&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;36 &#40;0&#46;98-1&#46;67&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;18 &#40;0&#46;86-1&#46;64&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">1&#46;55 &#40;1&#46;05-2&#46;31&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;08 &#40;0&#46;86-1&#46;36&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">Ixekizumab 80</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleBold">mg</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;00 &#40;0&#46;74-1&#46;34&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;87 &#40;0&#46;64-1&#46;18&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;14 &#40;0&#46;78-1&#46;66&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;07 &#40;0&#46;83-1&#46;38&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;99 &#40;0&#46;76-1&#46;29&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">Brodalumab 210</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleBold">mg</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;87 &#40;0&#46;63-1&#46;21&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;14 &#40;0&#46;77-1&#46;70&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">1&#46;42 &#40;1&#46;10-1&#46;82&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">1&#46;31 &#40;1&#46;01-1&#46;71&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;33 &#40;1&#46;00-1&#46;76&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">Guselkumab 100</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleBold">mg</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;31 &#40;0&#46;88-1&#46;96&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">1&#46;74 &#40;1&#46;39-2&#46;17&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">1&#46;61 &#40;1&#46;27-2&#46;04&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">1&#46;63 &#40;1&#46;26-2&#46;10&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;23 &#40;0&#46;95-1&#46;58&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">Secukinumab 300</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleBold">mg</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " colspan="5" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">PASI 100</td></tr></tbody></table>
                  """
              ]
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                0 => "xTab2535808.png"
              ]
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        ]
        "descripcion" => array:1 [
          "en" => "<p id="spar0095" class="elsevierStyleSimplePara elsevierViewall">League Table Summarizing the Results of Pairwise Indirect Comparisons &#40;ITCs&#41; for the Different Treatments in the Random-Effects MA for Long-Term Results &#40;44-60 Weeks&#41;&#46;<a class="elsevierStyleCrossRef" href="#bib0205"><span class="elsevierStyleSup">41</span></a></p>"
        ]
      ]
      10 => array:8 [
        "identificador" => "tbl0025"
        "etiqueta" => "Table 5"
        "tipo" => "MULTIMEDIATABLA"
        "mostrarFloat" => true
        "mostrarDisplay" => false
        "detalles" => array:1 [
          0 => array:3 [
            "identificador" => "at0055"
            "detalle" => "Table "
            "rol" => "short"
          ]
        ]
        "tabla" => array:2 [
          "leyenda" => "<p id="spar0120" class="elsevierStyleSimplePara elsevierViewall">Abbreviations&#58; BIW&#44; biweekly&#59; CrI&#44; credibility interval&#59; QW&#44; every week&#46; Data are provided as estimated OR &#40;95&#37; CrI&#41;&#46; The effect estimate &#40;efficacy&#41; is the estimated OR of the treatment defined by the column with respect to that defined by the row&#59; if the 95&#37; CrI does not include 1&#44; OR&#62;1 favors the treatment defined in the column&#44; OR&#60;1 favors the treatment defined in the row&#46; Significant comparisons are highlighted in boldface&#46;</p>"
          "tablatextoimagen" => array:1 [
            0 => array:2 [
              "tabla" => array:1 [
                0 => """
                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Risankizumab 150<span class="elsevierStyleHsp" style=""></span>mg&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;33 &#40;0&#46;89-1&#46;99&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Brodalumab 210<span class="elsevierStyleHsp" style=""></span>mg&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">1&#46;89 &#40;1&#46;12-3&#46;19&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;42 &#40;0&#46;87-2&#46;30&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Ixekizumab 80<span class="elsevierStyleHsp" style=""></span>mg&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">2&#46;33 &#40;1&#46;54-3&#46;56&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">1&#46;76 &#40;1&#46;22-2&#46;54&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;24 &#40;0&#46;75-2&#46;05&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Secukinumab 300<span class="elsevierStyleHsp" style=""></span>mg&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">3&#46;95 &#40;2&#46;90-5&#46;45&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">2&#46;97 &#40;2&#46;32-3&#46;83&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">2&#46;09 &#40;1&#46;39-3&#46;21&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">1&#46;69 &#40;1&#46;29-2&#46;22&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Ustekinumab 45<span class="elsevierStyleHsp" style=""></span>mg &#40;&#60;100<span class="elsevierStyleHsp" style=""></span>kg&#41; or 90<span class="elsevierStyleHsp" style=""></span>mg &#40;&#8805;100<span class="elsevierStyleHsp" style=""></span>kg&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">7&#46;80 &#40;4&#46;75-12&#46;94&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">5&#46;86 &#40;3&#46;72-9&#46;36&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">4&#46;13 &#40;2&#46;35-7&#46;34&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">3&#46;34 &#40;2&#46;53-4&#46;42&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">1&#46;97 &#40;1&#46;35-2&#46;91&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Etanercept 25<span class="elsevierStyleHsp" style=""></span>mg BIW&#47;50<span class="elsevierStyleHsp" style=""></span>mg QW&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
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          "en" => "<p id="spar0115" class="elsevierStyleSimplePara elsevierViewall">League Table Summarizing the Resulting OR &#40;95&#37; CrI&#41; From Pairwise Comparisons of Treatments in a Fixed-Effects Bayesian NMA of PASI 90 Reponses at 52 Weeks&#46;<a class="elsevierStyleCrossRef" href="#bib0205"><span class="elsevierStyleSup">41</span></a></p>"
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          "leyenda" => "<p id="spar0130" class="elsevierStyleSimplePara elsevierViewall">The data are estimated ORs &#40;95&#37; CI&#41;&#59; PASI 75&#44; PASI 90&#44; and PASI 100 response rates from <a class="elsevierStyleCrossRef" href="#fig0005">Fig&#46; 1 and Fig&#46; 2</a> of the supplementary online content<a class="elsevierStyleCrossRef" href="#bib0205"><span class="elsevierStyleSup">41</span></a>&#59; safety data from <a class="elsevierStyleCrossRef" href="#fig0010">Fig&#46; 2</a> of Poster 6285 presented at the World Congress of Dermatology&#44; Milan&#44; 2019 &#40;Shear NH et al&#46; Comparison of safety outcomes for treatments of moderate to severe plaque psoriasis through a network meta-analysis&#41;&#59; DLQI 0&#47;1 response rates from <a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a> of Poster 1716 presented at the 28th Congress of the European Academy of Dermatology and Venereology in Madrid in 2019 &#40;Warren RB&#44; et al&#46; Comparison of dermatology quality of life index for novel treatments of moderate-to-severe plaque psoriasis&#58; a network meta-analysis&#41;&#46; In boldface&#44; significant results &#40;<span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>&#46;05&#41; based on 95&#37; CI&#46;</p><p id="spar0135" class="elsevierStyleSimplePara elsevierViewall">Abbreviations&#58; adverse events&#44; AE&#59; ND&#44; not determined&#59; SAE&#44; serious adverse events&#46;</p>"
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              "tabla" => array:1 [
                0 => """
                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col">Type of Biological Agent&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col">Biologic&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td-with-role" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t ; entry_with_role_colgroup " colspan="3" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">PASI Response &#40;Short Term&#41;</th><th class="td-with-role" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t ; entry_with_role_colgroup " colspan="3" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">PASI Response &#40;Long Term&#41;</th><th class="td-with-role" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t ; entry_with_role_colgroup " colspan="3" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Safety &#40;Short Term&#41;</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col">DLQI 0&#47;1 Response &#40;Short Term&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th></tr><tr title="table-row"><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">75&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">90&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">100&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">75&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">90&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">100&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">AEs&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">SAEs&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Discontinuation due to AEs&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " colspan="12" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Anti-p19</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Guselkumab 100<span class="elsevierStyleHsp" style=""></span>mg&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;27 &#40;0&#46;93&#8211;1&#46;72&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;23 &#40;0&#46;93&#8211;1&#46;60&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;22 &#40;0&#46;94&#8211;1&#46;59&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;21 &#40;0&#46;75&#8211;1&#46;94&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;18 &#40;0&#46;86&#8211;1&#46;64&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">1&#46;42 &#40;1&#46;10&#8211;1&#46;82&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">ND&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">ND&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">ND&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;13 &#40;0&#46;78&#8211;1&#46;65&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Tildrakizumab 100<span class="elsevierStyleHsp" style=""></span>mg&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">4&#46;88 &#40;3&#46;53&#8211;6&#46;73&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">4&#46;34 &#40;3&#46;20&#8211;5&#46;86&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">4&#46;76 &#40;3&#46;42&#8211;6&#46;62&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">ND&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">ND&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">ND&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">ND&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">ND&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">ND&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">0&#46;44 &#40;0&#46;25&#8211;0&#46;84&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Tildrakizumab 200<span class="elsevierStyleHsp" style=""></span>mg&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">4&#46;49 &#40;3&#46;23&#8211;6&#46;16&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">3&#46;99 &#40;2&#46;94&#8211;5&#46;37&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">4&#46;32 &#40;3&#46;11&#8211;5&#46;97&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">ND&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">ND&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">ND&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;29 &#40;0&#46;92&#8211;1&#46;63&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;32 &#40;0&#46;08&#8211;1&#46;17&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;22 &#40;0&#46;04&#8211;1&#46;10&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;53 &#40;0&#46;29&#8211;1&#46;01&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Anti-p40&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Ustekinumab 45<span class="elsevierStyleHsp" style=""></span>mg &#40;&#60;100<span class="elsevierStyleHsp" style=""></span>kg&#41; or 90<span class="elsevierStyleHsp" style=""></span>mg &#40;&#8805;100<span class="elsevierStyleHsp" style=""></span>kg&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">3&#46;61 &#40;2&#46;80&#8211;4&#46;64&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">3&#46;22 &#40;2&#46;56&#8211;4&#46;03&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">3&#46;39 &#40;2&#46;68&#8211;4&#46;27&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">3&#46;44 &#40;2&#46;14&#8211;5&#46;53&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">3&#46;50 &#40;2&#46;57&#8211;4&#46;78&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">2&#46;85 &#40;2&#46;23&#8211;3&#46;63&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;82 &#40;0&#46;64&#8211;1&#46;03&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;52 &#40;0&#46;24&#8211;1&#46;17&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;34 &#40;0&#46;11&#8211;1&#46;06&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">0&#46;40 &#40;0&#46;30&#8211;0&#46;52&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " colspan="12" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Anti-IL-17</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Brodalumab 210<span class="elsevierStyleHsp" style=""></span>mg&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;06 &#40;0&#46;78&#8211;1&#46;41&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;05 &#40;0&#46;80&#8211;1&#46;34&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;05 &#40;0&#46;81&#8211;1&#46;33&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">2&#46;26 &#40;1&#46;46&#8211;3&#46;51&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;36 &#40;0&#46;98&#8211;1&#46;87&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;07 &#40;0&#46;83&#8211;1&#46;38&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">0&#46;74 &#40;0&#46;58&#8211;0&#46;96&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;56 &#40;0&#46;21&#8211;1&#46;47&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">0&#46;24 &#40;0&#46;07&#8211;0&#46;82&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;29 &#40;0&#46;91&#8211;1&#46;82&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Ixekizumab 80<span class="elsevierStyleHsp" style=""></span>mg&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;05 &#40;0&#46;76&#8211;1&#46;43&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;04 &#40;0&#46;79&#8211;1&#46;36&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;04 &#40;0&#46;80&#8211;1&#46;35&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;59 &#40;0&#46;93&#46; 2&#46;73&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">1&#46;36 &#40;1&#46;01&#8211;1&#46;84&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;08 &#40;0&#46;86&#8211;1&#46;36&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">0&#46;64 &#40;0&#46;47&#8211;0&#46;86&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;49 &#40;0&#46;14&#8211;1&#46;79&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">0&#46;14 &#40;0&#46;03&#8211;0&#46;55&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;21 &#40;0&#46;81&#8211;1&#46;84&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Secukinumab 300<span class="elsevierStyleHsp" style=""></span>mg&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">1&#46;69 &#40;1&#46;26&#8211;2&#46;26&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">1&#46;59 &#40;1&#46;23&#8211;2&#46;05&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">1&#46;58 &#40;1&#46;23&#8211;2&#46;04&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;17 &#40;0&#46;57&#8211;2&#46;40&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">1&#46;55 &#40;1&#46;05&#8211;2&#46;31&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">1&#46;74 &#40;1&#46;39&#8211;2&#46;17&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">0&#46;74 &#40;0&#46;56&#8211;0&#46;96&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;43 &#40;0&#46;18&#8211;1&#46;08&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">0&#46;29 &#40;0&#46;08&#8211;0&#46;97&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">0&#46;65 &#40;0&#46;45&#8211;0&#46;90&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Anti-TNF&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Infliximab 5<span class="elsevierStyleHsp" style=""></span>mg&#47;kg&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">2&#46;03 &#40;1&#46;44&#8211;2&#46;83&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">1&#46;87 &#40;1&#46;38&#8211;2&#46;52&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">1&#46;88 &#40;1&#46;38&#8211;2&#46;54&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">6&#46;49 &#40;4&#46;22&#8211;9&#46;97&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">5&#46;76 &#40;3&#46;50&#8211;9&#46;49&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">ND&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">0&#46;51 &#40;0&#46;33&#8211;0&#46;78&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;53 &#40;0&#46;13&#8211;2&#46;15&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">0&#46;14 &#40;0&#46;03&#8211;0&#46;62&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">ND&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Certolizumab 200<span class="elsevierStyleHsp" style=""></span>mg&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">3&#46;37 &#40;2&#46;37&#8211;4&#46;76&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">3&#46;02 &#40;2&#46;18&#8211;4&#46;15&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">3&#46;15 &#40;2&#46;24&#8211;4&#46;44&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">ND&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">ND&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">ND&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">ND&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">ND&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">ND&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">3&#46;18 &#40;1&#46;62&#8211;5&#46;88&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Certolizumab 400<span class="elsevierStyleHsp" style=""></span>mg&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">3&#46;37 &#40;2&#46;37&#8211;4&#46;76&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">3&#46;02 &#40;2&#46;18&#8211;4&#46;15&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">3&#46;15 &#40;2&#46;24&#8211;4&#46;44&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">ND&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">ND&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">ND&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;00 &#40;0&#46;66&#8211;1&#46;47&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;43 &#40;0&#46;12&#8211;1&#46;40&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">0&#46;16 &#40;0&#46;02&#8211;0&#46;97&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">2&#46;68 &#40;1&#46;43&#8211;4&#46;85&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Adalimumab 40<span class="elsevierStyleHsp" style=""></span>mg&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">3&#46;64 &#40;2&#46;88&#8211;4&#46;64&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">3&#46;25 &#40;2&#46;63&#8211;4&#46;03&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">3&#46;42 &#40;2&#46;76&#8211;4&#46;26&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">4&#46;44 &#40;2&#46;21&#8211;8&#46;91&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">4&#46;50 &#40;3&#46;07&#8211;6&#46;60&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">4&#46;00 &#40;2&#46;80&#8211;5&#46;73&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;88 &#40;0&#46;71&#8211;1&#46;11&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;61 &#40;0&#46;27&#8211;1&#46;31&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">0&#46;33 &#40;0&#46;11&#8211;0&#46;91&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">2&#46;18 &#40;1&#46;62&#8211;3&#46;04&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
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                  \t\t\t\t">1&#46;12 &#40;0&#46;64&#8211;2&#46;06&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t">0&#46;68 &#40;0&#46;12&#8211;3&#46;88&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">0&#46;32 &#40;0&#46;07&#8211;1&#46;37&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t"><span class="elsevierStyleBold">8&#46;54 &#40;4&#46;36&#8211;16&#46;15&#41;</span>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
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                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
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          "en" => "<p id="spar0125" class="elsevierStyleSimplePara elsevierViewall">Table Summarizing the Indirect Comparisons of Risankizumab 150<span class="elsevierStyleHsp" style=""></span>mg With Other Biologics for the Treatment of Moderate to Severe Plaque Psoriasis Determined in the NMA Described by Armstrong et al&#46;<a class="elsevierStyleCrossRef" href="#bib0205"><span class="elsevierStyleSup">41</span></a> and in Posters Based on the Same Analysis&#46;</p>"
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Meta-analysis and Indirect Comparisons: on Methods, Paradigms, and Biologic Treatments for Psoriasis
Metaanálisis y comparaciones indirectas. Métodos y paradigma: tratamiento biológico de la psoriasis
L. Puig
Servicio de Dermatología, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
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          "en" => "<p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">Example of an NMA network diagram for PASI 90 results at 12 or 16 weeks of biologic treatment for psoriasis&#46;<a class="elsevierStyleCrossRef" href="#bib0135"><span class="elsevierStyleSup">27</span></a> The size of the nodes represents the sample size of the interventions and the widths of the lines the number of studies included&#46;</p> <p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">Abbreviations&#58; ADA&#44; adalimumab&#59; APR&#44; apremilast&#59; BIW&#44; twice weekly&#44; BRO&#44; brodalumab&#59; ENT&#44; etanercept&#59; GUS&#44; guselkumab&#59; IFX&#44; infliximab&#59; IXE&#44; ixekizumab&#59; PBO&#44; placebo&#59; QW&#44; once a week&#59; Q2W&#44; every 2 weeks&#59; SEC&#44; secukinumab&#59; UST&#44; ustekinumab&#46;</p> <p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">Modified from Cameron et al&#46;<a class="elsevierStyleCrossRef" href="#bib0030"><span class="elsevierStyleSup">6</span></a></p>"
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    "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0025">Introduction</span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0030">Development of Biologic Agents to Treat Psoriasis</span><p id="par0005" class="elsevierStylePara elsevierViewall">The introduction of biologic agents more than 15 years ago marked the start of enormous progress in therapies for management of psoriasis&#46; Adalimumab and ustekinumab were the first biologic agents administered subcutaneously that surpassed a satisfactory efficacy threshold difference in PASI 75 response rate with respect to placebo greater than 50&#37; &#40;corresponding to a number of patients needed to treat &#91;NNT&#93; &#60; 2&#41;&#46;<a class="elsevierStyleCrossRef" href="#bib0005"><span class="elsevierStyleSup">1</span></a> Although one of the randomized clinical trials &#40;RCTs&#41; of adalimumab included an active treatment arm with methotrexate &#40;and subsequently&#44; a comparative study of infliximab with methotrexate was published&#41;&#44; the first RCT comparing 2 biologic agents &#40;ustekinumab versus etanercept&#41; was published in 2010&#46;<a class="elsevierStyleCrossRef" href="#bib0010"><span class="elsevierStyleSup">2</span></a></p><p id="par0010" class="elsevierStylePara elsevierViewall">In 2015&#44; secukinumab was granted marketing authorization&#59; this was the first of a new class of antibodies targeting interleukin 17 &#40;IL-17A&#41;&#46; The basic characteristic of anti-IL17A agents is their rapid onset of therapeutic action and having made PASI 90 response the standard benchmark of efficacy&#44; with a difference in response rates compared with placebo in excess of 70&#37;&#46;<a class="elsevierStyleCrossRef" href="#bib0015"><span class="elsevierStyleSup">3</span></a> The clinical development programs of these agents have included RCTs with etanercept&#44; adalimumab&#44; and ustekinumab&#44; in addition to placebo&#44; and recently&#44; guselkumab was included as an active comparator in a couple of RCTs&#46;</p><p id="par0015" class="elsevierStylePara elsevierViewall">Guselkumab&#44; approved by the European Medicines Agency &#40;EMA&#41; at the end of 2017&#44; is the first representative of a class of biologic agents that specifically block the p19 subunit of IL-23&#59; other agents in this class include tildrakizumab and risankizumab&#46; The corresponding comparative studies also included etanercept&#44; adalimumab&#44; ustekinumab&#44; and secukinumab&#44; depending on which agent was the most relevant comparator at the time when the trials were designed&#46;</p></span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0035">Efficacy and Safety Comparisons</span><p id="par0020" class="elsevierStylePara elsevierViewall">Dermatologists face a difficult choice with a wide range of options&#44; and pivotal RCTs supporting the authorizing agencies&#39; approval do not enable an assessment of relative efficacy &#40;or safety&#41; compared with other therapeutic agents&#46; Other factors may influence outcomes to a greater or lesser extent &#40;depending on the drug&#41;&#44; such as previous failure of a biologic agent&#44; body weight&#44; and comorbidities&#44; particularly psoriatic arthritis&#46; On the other hand&#44; neither the populations nor baseline situation &#40;with washout period and PASI scores above 12&#41; used in RCTs adequately represent clinical reality&#46; In any case&#44; we need a means to compare efficacy data from different drugs&#44; given that a cost-effectiveness analysis&#44; taking into account pricing at a given time&#44; is an essential component of any therapeutic algorithm&#46;</p><p id="par0025" class="elsevierStylePara elsevierViewall">First&#44; a systematic review should be conducted according to a well-established methodology&#44;<a class="elsevierStyleCrossRef" href="#bib0020"><span class="elsevierStyleSup">4</span></a> to identify published RCTs of the disease in question &#40;in our case&#44; plaque psoriasis&#41;&#46; When several RCTs of the same drug are available&#44; the results should be combined using methods that maintain the randomization of each RCT&#59; for these purposes the meta-analysis &#40;MA&#41; methodology was developed&#46; MAs can provide more precise results&#44; but they can also generate errors if differences in design between studies and publication bias are not taken into account&#46;</p><p id="par0030" class="elsevierStylePara elsevierViewall">In the case of psoriasis&#44; the methodology of the studies and the selection criteria in general are very uniform&#44; and this is an advantage although the possibility of study heterogeneity should always be considered&#46; In many cases&#44; the data&#47;outcomes of interest are dichotomous &#40;for example&#44; PASI 90 response&#58; yes&#47;no&#41; and the discussion here will focus on such data&#44; although there are MA methods that can be applied to continuous data&#47;outcomes&#44; ordinal outcomes or combinations thereof&#46; Finally&#44; sensitivity analyses should be employed &#40;changing the conditions determining which RCTs to include&#41; to confirm that the findings are robust and can thus be used to guide therapeutic or reimbursement decisions&#46;</p><p id="par0035" class="elsevierStylePara elsevierViewall">With a pairwise MA&#44; data from several RCTs of drug A compared with placebo &#40;or drug B&#41; can be combined&#59; on combining different studies&#44; it may be possible to detect a significant difference that would otherwise not be apparent because the individual RCTs are underpowered&#46;</p><p id="par0040" class="elsevierStylePara elsevierViewall">In MAs&#44; a statistical parameter representative of the intervention effect &#40;treatment&#41; is calculated for each of the studies&#59; for dichotomic variables&#44; the odds ratio &#40;OR&#41;&#44; the risk ratio &#40;RR&#41;&#44; or the risk difference &#40;probability or percentage of response&#41; between the drug and its comparator &#40;usually placebo&#41; are used&#46; For example&#44; if a drug can achieve a PASI 90 response in 633 of 1000 patients &#40;63&#46;3&#37;&#41;&#44; compared with 25 of 950 &#40;2&#46;6&#37;&#41; for placebo&#44; the OR is &#40;633<span class="elsevierStyleHsp" style=""></span>&#215;<span class="elsevierStyleHsp" style=""></span>925&#41;&#47;&#40;25<span class="elsevierStyleHsp" style=""></span>&#215;<span class="elsevierStyleHsp" style=""></span>367&#41;<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>63&#46;8&#59; the RR is &#40;633<span class="elsevierStyleHsp" style=""></span>&#215;<span class="elsevierStyleHsp" style=""></span>950&#41;&#47;&#40;25<span class="elsevierStyleHsp" style=""></span>&#215;<span class="elsevierStyleHsp" style=""></span>1000&#41;<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>36&#46;1&#59; the risk difference &#40;63&#46;3-2&#46;6&#41;<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>60&#46;7&#37; &#40;or 0&#46;67&#41;&#44; and 3 patients need to be treated to achieve a PASI 90 response in 2 &#40;NNT<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>1&#47;0&#46;67<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>1&#46;5&#41;&#46; OR and RR are relative measures&#44; whereas the risk difference and NNT are absolute measures&#59; in general&#44; the relative measures are more consistent among studies and do not have numerical limits &#40;a probability cannot be negative&#41;&#46; In general&#44; clinicians tend to overestimate the treatment effect when expressed as an OR&#44; although the differences between OR and RR are small for uncommon events &#40;with a probability of approximately &#60; 20&#37;&#41;&#46; This is not the case for treatment response in RCTs of psoriasis&#46;</p><p id="par0045" class="elsevierStylePara elsevierViewall">Essentially&#44; there are 2 types of statistical model for MAs&#44; depending on whether each RCT is considered to measure an unchanging drug effect or whether the effects in each RCT follow a random distribution&#46;<a class="elsevierStyleCrossRef" href="#bib0025"><span class="elsevierStyleSup">5</span></a><ul class="elsevierStyleList" id="lis0005"><li class="elsevierStyleListItem" id="lsti0005"><span class="elsevierStyleLabel">&#8226;</span><p id="par0050" class="elsevierStylePara elsevierViewall">The <span class="elsevierStyleBold">fixed-effects model</span> assumes that there is no variation in the relative treatment effect between different RCTs&#44; and that the differences observed are due only to chance&#46; In this case the aim is to calculate the true treatment effect&#46; In general&#44; the Mantel-Haenszel statistical method is used&#44; particularly for small sample sizes&#44; but the inverse variance method and the Peto method can also be used&#46; These methods are more powerful and less biased when there are studies without events &#40;for example&#44; mortality&#41;&#44; the intervention effect is small &#40;probability &#60;1&#37;&#41;&#44; and the size of the treatment arms is balanced&#46;</p></li><li class="elsevierStyleListItem" id="lsti0010"><span class="elsevierStyleLabel">&#8226;</span><p id="par0055" class="elsevierStylePara elsevierViewall">The <span class="elsevierStyleBold">random-effects method</span> assumes that the treatment effect can vary from one RCT to another &#40;the outcome of each RCT would follow a normal distribution&#41; and the combined effect would be the mean of a normal distribution whose standard deviation would reflect heterogeneity&#46; In the case of the random-effects model&#44; the DerSimonian-Laird method is generally used&#46;</p></li></ul></p><p id="par0060" class="elsevierStylePara elsevierViewall">The effect measure for any of these methods can be OR&#44; RR&#44; or risk difference&#44; except when the Peto method is used&#44; in which case only ORs can be combined&#46; The effect of each RCT is represented in an effects diagram or forest plot&#44; by means of blocks with horizontal lines that indicate the confidence interval &#40;CI&#41;&#44; generally at a level of 95&#37;&#46; The size of each block often represents the weight assigned to each study in the MA&#46; A common way to weigh RCTs is according to the reciprocal of the variance or square of the standard error&#58; large studies are given more weight because their standard error is smaller&#46; The summary effect&#44; or weighted mean of the effects of each intervention&#44; is represented by a diamond &#40;with a height proportional to the number of subjects enrolled in the RCT&#41; &#40;<a class="elsevierStyleCrossRef" href="#fig0005">Fig&#46; 1</a>&#41;&#46;<a class="elsevierStyleCrossRef" href="#bib0030"><span class="elsevierStyleSup">6</span></a></p><elsevierMultimedia ident="fig0005"></elsevierMultimedia><p id="par0065" class="elsevierStylePara elsevierViewall">There are different measures of heterogenicity &#40;due to differences in the characteristics of the populations in each study &#91;clinical diversity&#93;&#44; study design&#44; outcome measures of interest&#44; and bias &#91;methodological diversity&#93;&#41; between the different RCTs included in an MA&#59; for example&#44; the Cochran Q test &#40;&#967;<span class="elsevierStyleSup">2</span>&#41; with its corresponding <span class="elsevierStyleItalic">P</span> value&#44; or I<span class="elsevierStyleSup">2</span> with its corresponding CI&#44; which is used in Cochrane reviews&#46; I<span class="elsevierStyleSup">2</span> is calculated from the Cochrane Q value as 100&#37; &#215; &#40;<span class="elsevierStyleItalic">Q</span> &#8211; degrees of freedom&#41;&#47;<span class="elsevierStyleItalic">Q</span>&#44; and it describes the percentage variability in the effect estimates due to heterogeneity&#44; plus the random sampling error&#46; Negative values are considered as 0&#37; and indicate that heterogeneity is not observed&#59; values below 25&#37; indicate that the RCTs have low heterogeneity&#59; values above 50&#37; indicate high heterogeneity&#46; Another measure of heterogeneity that is used for random-effects MAs is &#964;<span class="elsevierStyleSup">2</span>&#46;</p><p id="par0070" class="elsevierStylePara elsevierViewall">The heterogeneity among different RCTs can be due to treatment interactions with different covariates &#40;baseline values of weight&#44; age&#44; comorbidities&#44; placebo effect&#44; etc&#41; that determine bias&#46;<a class="elsevierStyleCrossRef" href="#bib0035"><span class="elsevierStyleSup">7</span></a> Covariates can also be interdependent&#59; for example&#44; weight may modify the response not only of treatment but also of placebo&#46;<a class="elsevierStyleCrossRef" href="#bib0040"><span class="elsevierStyleSup">8</span></a> There are statistical measures of the extent of bias and metaregression models that take into account these interactions&#44; although it is preferable to use indirect comparisons with individual data &#40;see below&#41;&#46;</p><p id="par0075" class="elsevierStylePara elsevierViewall">Pairwise MAs provide a pooled estimate of a treatment effect compared with placebo&#44; and the 95&#37; CI indicates that the <span class="elsevierStyleItalic">real</span> or <span class="elsevierStyleItalic">average</span> value of the effect lies within the interval with 95&#37; probability&#44; but it does not enable rigorous comparison of the relative effect of 2 treatments&#44; particularly when CIs overlap&#46;<a class="elsevierStyleCrossRef" href="#bib0045"><span class="elsevierStyleSup">9</span></a></p><p id="par0080" class="elsevierStylePara elsevierViewall">The relative efficacy of different treatments or therapeutic interventions can be assessed with comparative RCTs &#40;direct comparisons&#41;&#44; MAs with multiple RCTs &#40;indirect comparisons&#41;&#44; and patient registry data&#46;</p><p id="par0085" class="elsevierStylePara elsevierViewall">Head-to-head &#40;H2H&#41; comparative RCTs require random assignment to treatment and double-blind assessment of efficacy&#44; but even if the inclusion criteria are identical and the treatment arms are largely balanced&#44; biases may still be present&#46; For example&#44; even assuming that there are no meaningful changes in the potency of the molecule over time&#44; the absence of a placebo arm can increase therapeutic response compared with pivotal RCTs&#44; as observed in some equivalence trials&#46;<a class="elsevierStyleCrossRef" href="#bib0050"><span class="elsevierStyleSup">10</span></a> The choice and timing of the endpoint assessment to determine the outcome of an RCT will often favor the sponsor&#8217;s desired outcome&#46;<a class="elsevierStyleCrossRefs" href="#bib0055"><span class="elsevierStyleSup">11&#44;12</span></a> When there are differences between cutaneous response and articular response between 2 drugs&#44; the choice of a composite outcome measure can also favor one of the drugs&#46;<a class="elsevierStyleCrossRef" href="#bib0065"><span class="elsevierStyleSup">13</span></a></p><p id="par0090" class="elsevierStylePara elsevierViewall">Even when H2H RCTs are available&#44; both clinicians and drug evaluation agencies are placing increasing importance on the different methods of indirect comparison between treatments&#44; particularly when multiple options are available&#46; By combining direct and indirect comparisons&#44; we can obtain a more refined estimate of the relative value of each drug&#44; provided these comparisons meet certain conditions discussed later&#46;<a class="elsevierStyleCrossRef" href="#bib0070"><span class="elsevierStyleSup">14</span></a></p><p id="par0095" class="elsevierStylePara elsevierViewall">The different methods available for indirect comparisons of treatments include<a class="elsevierStyleCrossRef" href="#bib0075"><span class="elsevierStyleSup">15</span></a>&#58;<ul class="elsevierStyleList" id="lis0010"><li class="elsevierStyleListItem" id="lsti0015"><span class="elsevierStyleLabel">&#8226;</span><p id="par0100" class="elsevierStylePara elsevierViewall">Adjusted or anchored indirect treatment comparisons &#40;ITCs&#41;&#44; comparing aggregate data from RCTs of drug A with aggregate data from the corresponding placebo arm or another drug B which has been compared with placebo&#46;</p></li><li class="elsevierStyleListItem" id="lsti0020"><span class="elsevierStyleLabel">&#8226;</span><p id="par0105" class="elsevierStylePara elsevierViewall">Network MA &#40;NMAs&#41;&#44; comparing aggregate data from different drugs with placebo &#40;and between them if H2H RCTs are available&#41;&#44; with or without adjustment for baseline characteristics and in particular different placebo responses&#46;</p></li><li class="elsevierStyleListItem" id="lsti0025"><span class="elsevierStyleLabel">&#8226;</span><p id="par0110" class="elsevierStylePara elsevierViewall">Indirect comparisons with individual data on a treatment adjusted for the aggregate characteristics of others &#40;matching-adjusted indirect comparisons&#44; or MAIC&#41;&#44; weighting individual patient data such that they become equivalent to RCTs for which only aggregate data are available&#46;<a class="elsevierStyleCrossRefs" href="#bib0080"><span class="elsevierStyleSup">16&#8211;19</span></a> There are other methods for indirect comparison with data from individual patients&#44; and recommendations have been published with a view to their use both in approval processes and reimbursement evaluations&#46;<a class="elsevierStyleCrossRef" href="#bib0100"><span class="elsevierStyleSup">20</span></a></p></li><li class="elsevierStyleListItem" id="lsti0030"><span class="elsevierStyleLabel">&#8226;</span><p id="par0115" class="elsevierStylePara elsevierViewall">Indirect comparisons with individual data for each treatment arm &#40;individual patient-level data&#44; or IPD&#41;&#46;</p></li></ul></p></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0040">Basic Concepts and Methodology for Indirect Treatment &#40;or Intervention&#41; Comparisons</span><p id="par0120" class="elsevierStylePara elsevierViewall">Randomization in RCTs enables the treatment effect to be separated from other factors and ensures baseline risk is balanced across treatment arms&#44; even in RCTs performed over different periods&#46; To maintain the effect of randomization in multiple comparisons&#44; Bucher et al&#46;<a class="elsevierStyleCrossRef" href="#bib0105"><span class="elsevierStyleSup">21</span></a> introduced the ITC method&#44; using OR as the effect measure&#44; although this is only applicable to indirect comparisons of treatments that have been compared with another common comparator&#46;<a class="elsevierStyleCrossRef" href="#bib0075"><span class="elsevierStyleSup">15</span></a> Subsequently&#44; Lumley et al&#46;<a class="elsevierStyleCrossRef" href="#bib0110"><span class="elsevierStyleSup">22</span></a> developed a technique &#40;NMA&#41; to compare 2 treatments via more than 1 common comparator&#44; including a measure of the possible inconsistency or discrepancy in results&#59; the approach was subsequently further developed&#46;<a class="elsevierStyleCrossRefs" href="#bib0115"><span class="elsevierStyleSup">23&#44;24</span></a> Finally&#44; Lu and Ades<a class="elsevierStyleCrossRef" href="#bib0125"><span class="elsevierStyleSup">25</span></a> incorporated direct comparisons &#40;H2H RCTs&#41; in a more sophisticated method denoted mixed treatment comparisons &#40;MTCs&#41;&#44; which enables different treatments to be ranked according to the probability that they are better or worse&#46;</p><p id="par0125" class="elsevierStylePara elsevierViewall">Indirect treatment comparisons require the clinical RCTs to be linked to form a network&#44; whether with open or closed loops&#44; if they include H2H RCTs &#40;direct evidence&#44; as well as indirect evidence&#41; &#40;<a class="elsevierStyleCrossRef" href="#fig0010">Fig&#46; 2</a>&#41;&#46; When we have H2H RCTs for some treatments&#44; or even RCTs with common treatment arms in addition to placebo&#44; NMAs are used to obtain estimates of the relative effect of different treatments with greater precision than pairwise MA and rank them coherently&#44; taking into account possible inconsistencies between the results of direct and indirect comparisons&#46;</p><elsevierMultimedia ident="fig0010"></elsevierMultimedia><p id="par0130" class="elsevierStylePara elsevierViewall">There are different guidelines for publishing RCTs&#44; MAs&#44; and NMAs&#59; PRISMA is the most relevant in the latter case&#46;<a class="elsevierStyleCrossRef" href="#bib0130"><span class="elsevierStyleSup">26</span></a> In NMAs&#44; it is essential to provide information on the network structure&#44; and to help with this task&#44; there are specific programs that produce diagrams in which the size of the circles is proportional to the number of patients randomized to each treatment &#40;or placebo&#41; and the width of the lines is proportional to the number of studies included in each comparison &#40;<a class="elsevierStyleCrossRef" href="#fig0015">Fig&#46; 3</a>&#41;&#46;<a class="elsevierStyleCrossRef" href="#bib0135"><span class="elsevierStyleSup">27</span></a></p><elsevierMultimedia ident="fig0015"></elsevierMultimedia><p id="par0135" class="elsevierStylePara elsevierViewall">NMAs can be performed within a frequentist or Bayesian framework&#46;<a class="elsevierStyleCrossRef" href="#bib0140"><span class="elsevierStyleSup">28</span></a></p><p id="par0140" class="elsevierStylePara elsevierViewall">In the former&#44; the result of the NMA is expressed as a point estimate of the relative efficacy of each treatment compared with the others&#44; with a 95&#37; CI&#59; if the NMAs were repeated&#44; the real value of the effect would lie within the CI 95&#37; of the time&#59; this does not mean that the probability of the real value lying within the CI is 95&#37;&#46;</p><p id="par0145" class="elsevierStylePara elsevierViewall">The Bayesian approach implies a subsequent distribution of probabilities based on the results of NMAs&#44; which enables the different treatments to be ranked according to their relative efficacy&#44;<a class="elsevierStyleCrossRef" href="#bib0145"><span class="elsevierStyleSup">29</span></a> thereby facilitating pharmacoeconomic decision making&#46; When treatment effects are evaluated&#44; it is generally assumed that the probability a priori is not informative&#44; although previous NMA data can be incorporated&#46;<a class="elsevierStyleCrossRef" href="#bib0150"><span class="elsevierStyleSup">30</span></a> Bayesian NMAs require extensive calculations with statistical packages that can run Markov Chain Monte Carlo &#40;MCMC&#41; simulations&#46; When significant heterogeneity is present among the RCTs included in the NMA&#44; it is recommended to adjust for baseline risk &#40;for example&#44; placebo effect&#41; taking into account multiple covariates&#44; whether observed or not&#44; and these are used to optimize the model&#46;<a class="elsevierStyleCrossRef" href="#bib0030"><span class="elsevierStyleSup">6</span></a> The equivalents of CIs for the relative effects of the different pairwise comparisons in the league tables are denoted by credibility intervals &#40;CrIs&#41; in the Bayesian framework&#46;</p><p id="par0150" class="elsevierStylePara elsevierViewall">The results of NMAs allow comparison of effects &#40;efficacy for example&#41; for each treatment relative to another&#46; The results are generally presented in the form of league tables &#40;<a class="elsevierStyleCrossRef" href="#fig0020">Fig&#46; 4</a>&#41;&#46;<a class="elsevierStyleCrossRef" href="#bib0155"><span class="elsevierStyleSup">31</span></a></p><elsevierMultimedia ident="fig0020"></elsevierMultimedia><p id="par0155" class="elsevierStylePara elsevierViewall">The ranking of the different treatments is based on calculation of surface under the cumulative ranking curve &#40;SUCRA&#41; &#40;<a class="elsevierStyleCrossRef" href="#fig0025">Fig&#46; 5</a>&#41;&#44;<a class="elsevierStyleCrossRef" href="#bib0135"><span class="elsevierStyleSup">27</span></a> which is expressed as a percentage and can be interpreted as the probability that all the other treatments are inferior&#46;<a class="elsevierStyleCrossRef" href="#bib0160"><span class="elsevierStyleSup">32</span></a> The estimated ranking for each drug in the NMA can also be represented with their corresponding 95&#37; CrI in the so-called ranking plots&#46; Although the SUCRA approach was developed in a Bayesian framework&#44; some programs allow SUCRA calculations in frequentist NMAs&#59; recently&#44; an index has been proposed &#40;<span class="elsevierStyleItalic">P</span>-score&#41;<a class="elsevierStyleCrossRef" href="#bib0165"><span class="elsevierStyleSup">33</span></a> which allows a similar ranking to be established in the frequentist framework&#46;</p><elsevierMultimedia ident="fig0025"></elsevierMultimedia><p id="par0160" class="elsevierStylePara elsevierViewall">Both ITCs and NMAs use aggregate data&#44; as provided in the publications&#44; in a systematic fashion&#44; following the guidelines of CONSORT and SPIRIT&#46;<a class="elsevierStyleCrossRef" href="#bib0130"><span class="elsevierStyleSup">26</span></a> When patient-level data for one of the treatments and placebo in several RCTs are available&#44; an indirect MAIC-type comparison can be performed&#44; and when individual data are available for several treatment arms&#44; an IPD analysis can be performed&#46;</p></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0045">Recent Examples of Indirect Comparisons of Psoriasis Treatments</span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0050">Network Meta-analyses &#40;NMAs&#41;</span><p id="par0165" class="elsevierStylePara elsevierViewall">In most psoriasis NMAs&#44; response data from several RCTs are compared at the end of the assessment period with placebo&#46;</p><p id="par0170" class="elsevierStylePara elsevierViewall">In a detailed frequentist NMA with 14 treatments and doses&#44; including placebo&#44; although with only 28 studies&#44;<a class="elsevierStyleCrossRef" href="#bib0135"><span class="elsevierStyleSup">27</span></a> the SUCRA and mean ranges corresponding to PASI 100 response rates of approved treatments were as follows&#58; brodalumab 210<span class="elsevierStyleHsp" style=""></span>mg 85&#46;0&#37;&#44; 2&#46;9&#59; ixekizumab 80<span class="elsevierStyleHsp" style=""></span>mg Q2W 83&#46;3&#37;&#44; 3&#46;2&#59; risankizumab 150<span class="elsevierStyleHsp" style=""></span>mg 71&#46;3&#37;&#44; 4&#46;7&#59; guselkumab 100<span class="elsevierStyleHsp" style=""></span>mg 61&#46;4&#37;&#44; 6&#59; secukinumab 300<span class="elsevierStyleHsp" style=""></span>mg 62&#46;4&#37;&#44; 5&#46;9&#59; ustekinumab 90<span class="elsevierStyleHsp" style=""></span>mg 34&#46;5&#37;&#44; 9&#46;5&#59; ustekinumab 45<span class="elsevierStyleHsp" style=""></span>mg 33&#46;1&#37;&#44; 9&#46;7&#59; tildrakizumab 100<span class="elsevierStyleHsp" style=""></span>mg 21&#46;9&#37;&#44; 11&#46;2&#46;</p><p id="par0175" class="elsevierStylePara elsevierViewall">A systematic review and Bayesian NMA included the biologic agents most recently approved by the European Medicines Agency &#40;EMA&#41; for the treatment of psoriasis and focused on PASI 50&#44; PASI 75&#44; PASI 90&#44; and PASI 100 response at 10 to 16 weeks&#46;<a class="elsevierStyleCrossRef" href="#bib0170"><span class="elsevierStyleSup">34</span></a> The analysis only considered RCTs with doses approved by the EMA and US Food and Drug Administration &#40;FDA&#41;&#46; Adjustment for placebo response &#40;determinant of RCT heterogeneity&#41; in the NMA improved the goodness of fit of the model&#46; The publication included difference in response and RR relative to placebo&#44; RR relative to the 6 most recently approved drugs&#44; and NNT&#46; The NNTs for PASI 100 response were below 3 in 4 of the treatments compared&#58; ixekizumab &#40;2&#46;49&#59; 95&#37; CrI 1&#46;66-4&#46;43&#41;&#44; risankizumab &#40;2&#46;55&#59; 95&#37; CrI 1&#46;69-4&#46;62&#41;&#44; brodalumab &#40;2&#46;60&#59; 95&#37; CrI 1&#46;17-4&#46;72&#41;&#44; and guselkumab &#40;2&#46;90&#59; 95&#37; CrI 1&#46;83-5&#46;52&#41;&#46; For reference&#44; the NNT for PASI 100 response calculated for adalimumab and ustekinumab was approximately 6&#46;</p><p id="par0180" class="elsevierStylePara elsevierViewall">A recent review by the Cochrane group&#44;<a class="elsevierStyleCrossRef" href="#bib0175"><span class="elsevierStyleSup">35</span></a> with a classic MA and a frequentist NMA&#44; included 113 references corresponding to 19 different treatments for moderate to severe plaque psoriasis&#44; including small molecules&#44; regardless of whether the dose used in the study was finally approved by the EMA&#46; The main outcome measure was the percentage of patients with PASI 90 response &#40;not PASI 100&#41; and the percentage of patients with serious adverse events &#40;SAEs&#41; at the end of the induction phase &#40;8-24 weeks&#41;&#46; The NMA method used was multivariate regression using Stata software&#46;</p><p id="par0185" class="elsevierStylePara elsevierViewall">The ranking according to SUCRA obtained in this non-Bayesian NMA is shown in <a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>&#46; The authors of this NMA combined the results for efficacy &#40;RR for achieving PASI 90 response compared with placebo&#41; and acceptability &#40;inverted RR values for SAEs compared with placebo&#41; in a 2-dimensional plot&#44; like the one used by the same authors<a class="elsevierStyleCrossRef" href="#bib0180"><span class="elsevierStyleSup">36</span></a> and other authors<a class="elsevierStyleCrossRef" href="#bib0185"><span class="elsevierStyleSup">37</span></a>&#59; risankizumab and bimekizumab &#40;with a single RCT&#41; were located in the upper right corner&#44; where the optimal treatments are located&#46; This NMA includes 6 sensitivity analyses selecting studies included according to additional parameters such as number of participants&#44; risk of bias&#44; dose used&#44; and time of assessment of induction response&#46;</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><p id="par0190" class="elsevierStylePara elsevierViewall">A Bayesian NMA underlies the 2020 rapid update to the British Association of Dermatology guidelines for the treatment of psoriasis with biologic agents&#46;<a class="elsevierStyleCrossRef" href="#bib0190"><span class="elsevierStyleSup">38</span></a> All data used in this NMA correspond to those published in the RCTs at 3-4 months of treatment&#59; the percentage of responders with complete or almost complete clearance&#44; change in Dermatology Life Quality Index &#40;DLQI&#41;&#44; and treatment discontinuations due to adverse events were assessed&#44; and a sensitivity analysis was performed with the doses approved by the EMA&#46; In the case of complete or almost complete clearance&#44; at the approved doses&#44; the available drugs were ranked as follows according to SUCRA and the mean rank&#58; risankizumab &#40;89&#46;9&#37;&#59; 2&#46;2&#41;&#59; ixekizumab &#40;87&#46;8&#37;&#59; 2&#46;5&#41;&#59; guselkumab &#40;80&#46;2&#37;&#59; 3&#46;4&#41;&#59; brodalumab &#40;74&#46;4&#37;&#59; 4&#46;1&#41;&#59; infliximab &#40;73&#46;5&#37;&#59; 4&#46;2&#41;&#59; secukinumab &#40;68&#46;8&#37;&#59; 4&#46;7&#41;&#59; adalimumab &#40;41&#46;1&#37;&#59; 8&#46;1&#41;&#59; ustekinumab &#40;40&#46;0&#37;&#59; 8&#46;2&#41;&#59; tildrakizumab &#40;37&#46;4&#37;&#59; 8&#46;5&#41;&#59; certolizumab pegol 200<span class="elsevierStyleHsp" style=""></span>mg &#40;30&#46;6&#37;&#59; 9&#46;3&#41;&#59; methotrexate &#40;14&#46;1&#37;&#59; 11&#46;3&#41;&#59; etanercept &#40;12&#46;3&#37;&#59; 11&#46;5&#41;&#44; and placebo &#40;0&#37;&#59; 13&#41;&#46;</p></span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0055">There Are Fewer Publications With Long-term NMA Outcomes &#40;After Approximately 1 Year&#41;</span><p id="par0195" class="elsevierStylePara elsevierViewall">A frequentist NMA of the efficacy of different treatments at 52 weeks published in 2019<a class="elsevierStyleCrossRef" href="#bib0195"><span class="elsevierStyleSup">39</span></a> included results for RR&#44; relative OR&#44; and SUCRA &#40;the first in the ranking of overall efficacy was brodalumab&#44; with 97&#37;&#44; followed by ixekizumab with 83&#37;&#41;&#59; however&#44; this NMA did not include clinical trials of either risankizumab or guselkumab&#46;</p><p id="par0200" class="elsevierStylePara elsevierViewall">A recent study updated this approach with a Bayesian NMA&#44; collecting efficacy data &#40;PASI 75&#44; PASI 90&#44; PASI 100 response rates&#41; up to week 48-52 from 28 RCTs&#44; of which 9 had H2H comparisons up to the end of the maintenance phase &#40;primary analysis&#41;&#59; the other RCTs were included in another analysis assuming that the responses compared with placebo at the end of induction &#40;double-blind comparison with placebo&#41; were sustained during maintenance &#40;secondary analysis&#41;&#46;</p><p id="par0205" class="elsevierStylePara elsevierViewall">The primary analysis showed that risankizumab is significantly superior to the other treatments &#40;except brodalumab and guselkumab&#41; at all levels of PASI response&#59; that brodalumab and guselkumab are superior to the other treatments except ixekizumab&#59; and that ixekizumab and secukinumab are superior to ustekinumab and adalimumab&#44; with etanercept being the least effective treatment&#46; The estimated NNT for PASI 100&#44; with ustekinumab as reference&#44; was 4 for risankizumab&#44; 5 for brodalumab and guselkumab&#44; 7 for ixekizumab&#44; and 9 for secukinumab&#46; The probabilities for PASI 100 response&#44; SUCRA&#44; and median ranks with 95&#37; CrI are shown in <a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>&#46; The secondary analysis&#44; including 14 treatments and placebo&#44; yielded results consistent with the primary analysis &#40;<a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>&#41;&#46;</p><elsevierMultimedia ident="tbl0010"></elsevierMultimedia><p id="par0210" class="elsevierStylePara elsevierViewall">A recent publication included all biologic agents currently approved in the European Union&#44; studying both short-term outcomes &#40;10-16 weeks&#41; and at the end of the maintenance phase of the RCTs &#40;44-60 weeks&#41;&#46;<a class="elsevierStyleCrossRef" href="#bib0205"><span class="elsevierStyleSup">41</span></a> Firstly&#44; the authors undertook a systematic literature review according to the PRISMA guidelines&#44;<a class="elsevierStyleCrossRef" href="#bib0210"><span class="elsevierStyleSup">42</span></a> which included phase 2&#44; 3&#44; or 4 clinical trials in adult patients with moderate to severe psoriasis&#44; with EMA-approved treatments and treatment regimens&#46;</p><p id="par0215" class="elsevierStylePara elsevierViewall">To compare the responses at 10-16 weeks&#44; a Bayesian random-effects NMA with an ordinal model was undertaken&#59; the response was adjusted for placebo response to take into account the heterogeneity of the RCTs&#46;<a class="elsevierStyleCrossRef" href="#bib0030"><span class="elsevierStyleSup">6</span></a> As a measure of treatment effect&#44; the response rates were estimated using the posterior median &#40;in the Bayesian sense&#41; and the corresponding 95&#37; CrI&#44; as well as the NNT&#46; Pairwise comparisons were also undertaken for the different treatments with risankizumab&#44; ixekizumab&#44; brodalumab&#44; and guselkumab&#46; The statistical package used was described in detail &#40;R and WinBUGS&#44; with noninformative a priori probabilities&#41; and sensitivity analyses were performed excluding country-specific RCTs&#44; including only phase 3 RCTs&#44; and including additional conventional treatments&#46;</p><p id="par0220" class="elsevierStylePara elsevierViewall">In the short term&#44; risankizumab&#44; ixekizumab&#44; brodalumab&#44; and guselkumab had significantly greater response rates than other treatments &#40;including infliximab and secukinumab in all cases except guselkumab&#41;&#44; without significant differences between the 4 treatments&#46; The corresponding posterior medians for the response rates in the 4 treatments were greater than 85&#37; for PASI 75&#44; 66&#37; for PASI 90&#44; and 35&#37; for PASI 100&#46; The corresponding NNTs with their 95&#37; CrIs are shown in <a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a>&#46; The results of the sensitivity analyses supported those of the main analysis&#46;</p><elsevierMultimedia ident="tbl0015"></elsevierMultimedia><p id="par0225" class="elsevierStylePara elsevierViewall">The analysis of long-term efficacy was hindered by patients crossing over to a different treatment arm and the selection of responders&#59; several RCTs were therefore excluded&#46; Only 22 RCTs were included and a traditional random-effects MA was performed to estimate PASI 75&#44; PASI 90&#44; and PASI 100 response rates&#44; making pairwise comparisons with risankizumab&#44; ixekizumab&#44; brodalumab&#44; and guselkumab&#44; and calculating the respective OR and 95&#37; CIs&#46; Sensitivity analyses were performed excluding country-specific RCTs&#44; including only phase 3 RCTs&#44; and including only RCTs with non-response imputation &#40;NRI&#41;&#46;</p><p id="par0230" class="elsevierStylePara elsevierViewall">The PASI 90 and PASI 100 response rates at 44-60 weeks estimated in the random-effects MA are shown in <a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a>&#46; In <a class="elsevierStyleCrossRef" href="#tbl0020">Table 4</a>&#44; the pairwise comparisons &#40;OR&#41; between the 5 treatments with greatest response in the long term are shown &#40;data from <a class="elsevierStyleCrossRef" href="#fig0010">Fig&#46; 2</a> of the original publication&#41;&#46;<a class="elsevierStyleCrossRef" href="#bib0205"><span class="elsevierStyleSup">41</span></a></p><elsevierMultimedia ident="tbl0020"></elsevierMultimedia><p id="par0235" class="elsevierStylePara elsevierViewall">In order to assess whether the MA<a class="elsevierStyleCrossRef" href="#bib0215"><span class="elsevierStyleSup">43</span></a> could have an impact on the results&#44; a fixed-effects Bayesian NMA was performed&#44; including RCTs that maintained randomized treatment through week 52 &#40;7 RCTs corresponding to 6 treatments&#41;&#46; The corresponding network diagram obtained from data in the original publication is shown in <a class="elsevierStyleCrossRef" href="#fig0030">Fig&#46; 6</a>&#46; <a class="elsevierStyleCrossRef" href="#tbl0025">Table 5</a> shows the detailed league table of pairwise comparisons &#40;OR&#41; of this NMA&#46;</p><elsevierMultimedia ident="fig0030"></elsevierMultimedia><elsevierMultimedia ident="tbl0025"></elsevierMultimedia><p id="par0240" class="elsevierStylePara elsevierViewall">The results of this NMA<a class="elsevierStyleCrossRef" href="#bib0205"><span class="elsevierStyleSup">41</span></a> can be complemented with the corresponding safety results &#40;SAEs and discontinuations due to AEs in the RCTs&#41; and the impact on quality of life &#40;percentage with DLQI 0&#47;1 response&#41; at the end of induction or the time of assessment of the primary efficacy endpoint in the RCTs &#40;week 12-16&#41;&#44; which have been presented as poster in the World Congress of Dermatology in Milan&#44; Italy&#44; in 2019 &#40;Shear et al&#46; Poster 6284&#41; and the 28th Congress of the European Academy of Dermatology and Venereology in Madrid in 2019 &#40;Warren RB&#44; et al&#46; Poster 1716&#41;&#46; The results of these pairwise comparisons of risankizumab with the other drugs are shown in <a class="elsevierStyleCrossRef" href="#tbl0030">Table 6</a>&#46;</p><elsevierMultimedia ident="tbl0030"></elsevierMultimedia></span></span></span><span id="sec0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0060">Matching-Adjusted Indirect Comparisons &#40;MAICs&#41;</span><p id="par0245" class="elsevierStylePara elsevierViewall">When there is an imbalance in known modifiers &#40;covariates&#41; of the treatment effect and individual patient data are available&#44; MAICs may be preferable to ITCs and NMAs&#44; reducing bias&#46; A recent MAIC that serves as an example compares the efficacy of ixekizumab and secukinumab<a class="elsevierStyleCrossRef" href="#bib0220"><span class="elsevierStyleSup">44</span></a> using individual patient data from treatment with ixekizumab in RCTs that used placebo&#44; etanercept&#44; or ustekinumab as comparators&#44; adjusting them &#40;removing cases from the analysis or weighting their representation in the treatment arm&#41; for certain covariates such as baseline weight&#44; duration of psoriasis&#44; or prior systemic treatment&#46; An ITC was then performed&#44; anchored using the Bucher method using the effect measures &#40;risk difference and OR&#41; resulting from the adjustment of the individual data from ixekizumab to the aggregate data from the RCTs of secukinumab for each of the comparisons &#40;placebo&#44; etanercept&#44; and ustekinumab&#41;&#46; A series of MAICs and ITCs were performed for each comparison&#59; as 2 results were obtained &#40;that is&#44; via etanercept and via ustekinumab&#41; for each indirect comparison of ixekizumab with secukinumab&#44; the authors performed an MA of these results with a fixed-effects model&#46;<a class="elsevierStyleCrossRef" href="#bib0220"><span class="elsevierStyleSup">44</span></a></p><span id="sec0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0065">Indirect Patient Data &#40;IPD&#41; Comparisons</span><p id="par0250" class="elsevierStylePara elsevierViewall">In another publication&#44; an indirect comparison of guselkumab was performed with ustekinumab using IPD from different RCTs with the same sponsor and adjusting for differences in covariates using a multivariate regression model&#46;<a class="elsevierStyleCrossRef" href="#bib0225"><span class="elsevierStyleSup">45</span></a> This publication also illustrates the potential limitations of the inclusion of RCTs with arms in which there is a partial unblinding or enrichment of a given arm because of switching following prior response&#44; but the sensitivity analyses supported the results obtained&#46;</p></span></span><span id="sec0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0070">Conclusion</span><p id="par0255" class="elsevierStylePara elsevierViewall">The use of traditional MAs and NMAs &#40;frequentist and Bayesian&#41; incorporates information from RCTs and enables indirect and mixed comparisons of efficacy between different treatments&#44; providing a ranking&#46; When interpreting and comparing the results from different MAs and NMAs&#44; it is important to keep in mind the methodology used and the design of the studies included in the comparison&#46; With all the limitations inherent in the extrapolation of RCTs to clinical practice settings&#44; these results may be useful for clinicians and regulatory or reimbursement agencies&#44; as illustrated by the example of moderate to severe psoriasis&#46; Based on the different NMAs&#44; the 4 most effective treatments &#40;in terms of PASI 90 and PASI 100 response&#41; both in the short term &#40;10-16 weeks of treatment&#41; and long term &#40;approximately 1 year of treatment&#41; are risankizumab&#44; brodalumab&#44; ixekizumab&#44; and guselkumab&#44; in this order approximately&#44; although the differences between them are not always significant&#46;</p></span><span id="sec0055" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0075">Conflicts of Interest</span><p id="par0260" class="elsevierStylePara elsevierViewall">Dr&#46; L&#46; Puig has received consultant and&#47;or speaker fees from Abbvie&#174;&#44; Almirall&#174;&#44; Amgen&#174;&#44; Baxalta&#174;&#44; Biogen&#174;&#44; Boehringer Ingelheim&#174;&#44; Celgene&#174;&#44; Fresenius-Kabi&#174;&#44; Gebro&#174;&#44; Janssen&#174;&#44; JS BIOCAD&#174;&#44; Leo-Pharma&#174;&#44; Lilly&#174;&#44; Merck-Serono&#174;&#44; MSD&#174;&#44; Mylan&#174;&#44; Novartis&#174;&#44; Pfizer&#174;&#44; Regeneron&#174;&#44; Roche&#174;&#44; Sandoz&#174;&#44; Samsung-Bioepis&#174;&#44; Sanofi&#174;&#44; UCB&#174;&#46; He has also participated in clinical trials sponsored by&#58; Abbvie&#174;&#44; Almirall&#174;&#44; Amgen&#174;&#44; Boehringer Ingelheim&#174;&#44; Celgene&#174;&#44; Janssen&#174;&#44; Leo-Pharma&#174;&#44; Lilly&#174;&#44; Novartis&#174;&#44; Pfizer&#174;&#44; Regeneron&#174;&#44; Roche&#174;&#44; Sanofi&#174;&#44; and UCB&#174;&#46;</p></span></span>"
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              "titulo" => "Development of Biologic Agents to Treat Psoriasis"
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              "titulo" => "Recent Examples of Indirect Comparisons of Psoriasis Treatments"
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              "titulo" => "Indirect Patient Data &#40;IPD&#41; Comparisons"
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        0 => array:4 [
          "clase" => "keyword"
          "titulo" => "Palabras clave"
          "identificador" => "xpalclavsec1341920"
          "palabras" => array:10 [
            0 => "Eficacia"
            1 => "Psoriasis"
            2 => "Metaan&#225;lisis"
            3 => "Metaan&#225;lisis en red"
            4 => "Comparaciones indirectas"
            5 => "Metodolog&#237;a"
            6 => "Risankizumab"
            7 => "Brodalumab"
            8 => "Guselkumab"
            9 => "Ixekizumab"
          ]
        ]
      ]
    ]
    "tieneResumen" => true
    "resumen" => array:2 [
      "en" => array:2 [
        "titulo" => "Abstract"
        "resumen" => "<span id="abst0005" class="elsevierStyleSection elsevierViewall"><p id="spar0140" class="elsevierStyleSimplePara elsevierViewall">Meta-analysis offers a way to assess the clinical efficacy of a treatment by combining the results of randomized clinical trials while maintaining randomization&#59; the combined effects&#44; with their confidence intervals&#44; can be represented with a forest plot&#46; The efficacy of several different treatment options can be assessed with either direct or indirect comparisons&#46; Indirect comparisons may be placebo-anchored as well as network meta-analyses &#40;NMA&#41; that use either a frequentist or Bayesian approach&#44; depending on the statistical framework and the definition of probability selected&#46; Indirect comparisons may also adjust for covariates or utilize individual participant data&#46; Bayesian NMA are able to establish a rank order of efficacy based on probabilities or credibility intervals&#44; which can be described by the surface under the cumulative ranking curve &#40;SUCRA&#41;&#46; Statistical superiority is demonstrated by pairwise comparisons&#44; which are generally presented in league tables&#46; This review provides clinical practitioners with detailed descriptions of these methods&#44; drawing on examples from recently published NMA that rank the relative efficacy of biologic treatments for moderate to severe psoriasis&#46; According to NMA findings&#44; the four most effective treatments in both the short term &#40;10-16 weeks&#41; and the long term &#40;approximately one year&#41; are&#44; in rank order&#44; risankizumab &#40;first in all studies that include it&#41;&#44; brodalumab&#44; guselkumab&#44; and ixekizumab&#46; However&#44; the between-treatment differences are not always significant&#46;</p></span>"
      ]
      "es" => array:2 [
        "titulo" => "Resumen"
        "resumen" => "<span id="abst0010" class="elsevierStyleSection elsevierViewall"><p id="spar0145" class="elsevierStyleSimplePara elsevierViewall">El metaan&#225;lisis &#40;MA&#41; permite evaluar la eficacia cl&#237;nica de un tratamiento al agregar los resultados de varios ensayos cl&#237;nicos &#40;RCT&#41; preservando la aleatorizaci&#243;n&#59; los efectos agregados &#40;con sus intervalos de confianza&#41; pueden representarse mediante un diagrama de &#171;bosque&#187;&#46; Para comparar la eficacia de diversas opciones terap&#233;uticas se pueden utilizar comparaciones directas o indirectas&#46; Estas &#250;ltimas incluyen comparaciones indirectas de tratamientos ancladas a placebo&#44; MA en red &#40;NMA&#41; &#40;que a su vez pueden ser frecuentistas o bayesianos&#44; dependiendo del marco estad&#237;stico y la definici&#243;n de probabilidad elegida&#41;&#44; comparaciones indirectas de tratamientos ajustadas seg&#250;n covariables&#44; y comparaciones indirectas con datos individuales&#46; Los NMA bayesianos permiten establecer un orden de eficacia basado en probabilidades o intervalos de credibilidad&#44; que pueden describirse con el &#225;rea bajo la curva de probabilidad de rango acumulativa &#40;SUCRA&#41;&#44; y la superioridad estad&#237;stica se demuestra mediante comparaciones a pares&#44; que generalmente se presentan en forma de tablas de liga&#46; La presente revisi&#243;n&#44; orientada a un lector cl&#237;nico&#44; describe estos aspectos metodol&#243;gicos con detalle empleando como ejemplo las recientes publicaciones de NMA que permiten establecer la eficacia relativa de los tratamientos biol&#243;gicos de la psoriasis moderada a grave&#46; Sobre la base de distintos NMA&#44; los cuatro tratamientos m&#225;s eficaces tanto a corto &#40;10-16 semanas de tratamiento&#41; como a largo plazo &#40;aproximadamente un a&#241;o&#41; son risankizumab &#40;n&#250;mero uno de orden en todos los estudios que lo incluyen&#41;&#44; seguido de brodalumab&#44; guselkumab e ixekizumab&#44; aunque las diferencias entre ellos no siempre resultan significativas&#46;</p></span>"
      ]
    ]
    "NotaPie" => array:1 [
      0 => array:2 [
        "etiqueta" => "&#9734;"
        "nota" => "<p class="elsevierStyleNotepara" id="npar0005">Please cite this article as&#58; Puig L&#46; Metaan&#225;lisis y comparaciones indirectas&#46; M&#233;todos y paradigma&#58; tratamiento biol&#243;gico de la psoriasis&#46; Actas Dermosifiliogr&#46; 2021&#59;112&#58;203&#8211;215&#46;</p>"
      ]
    ]
    "multimedia" => array:12 [
      0 => array:8 [
        "identificador" => "fig0005"
        "etiqueta" => "Fig&#46; 1"
        "tipo" => "MULTIMEDIAFIGURA"
        "mostrarFloat" => true
        "mostrarDisplay" => false
        "figura" => array:1 [
          0 => array:4 [
            "imagen" => "gr1.jpeg"
            "Alto" => 988
            "Ancho" => 2341
            "Tamanyo" => 242378
          ]
        ]
        "detalles" => array:1 [
          0 => array:3 [
            "identificador" => "at0005"
            "detalle" => "Fig&#46; "
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        ]
        "descripcion" => array:1 [
          "en" => "<p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">Example of forest plots corresponding to 2 pairwise random-effects MAs&#59; the effects &#40;RR for PASI 90 response&#41; were estimated using the Mantel-Haenszel &#40;&#40;M-H&#41;&#41; method and different measures of heterogeneity have been calculated&#46;</p> <p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">Modified from Cameron et al&#46;<a class="elsevierStyleCrossRef" href="#bib0030"><span class="elsevierStyleSup">6</span></a></p>"
        ]
      ]
      1 => array:8 [
        "identificador" => "fig0010"
        "etiqueta" => "Fig&#46; 2"
        "tipo" => "MULTIMEDIAFIGURA"
        "mostrarFloat" => true
        "mostrarDisplay" => false
        "figura" => array:1 [
          0 => array:4 [
            "imagen" => "gr2.jpeg"
            "Alto" => 896
            "Ancho" => 2091
            "Tamanyo" => 157427
          ]
        ]
        "detalles" => array:1 [
          0 => array:3 [
            "identificador" => "at0010"
            "detalle" => "Fig&#46; "
            "rol" => "short"
          ]
        ]
        "descripcion" => array:1 [
          "en" => "<p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">Classification and nomenclature of indirect comparisons of interventions &#40;treatments&#41; and their diagrams&#46; In the broadest sense&#44; all indirect comparisons are NMAs&#44; unlike traditional MA&#44; which do not simultaneously compare several treatments but rather pool different RCTs comparing 2 interventions&#44; for example&#44; treatment versus placebo&#46; Bucher<a class="elsevierStyleCrossRef" href="#bib0105"><span class="elsevierStyleSup">21</span></a> introduced ITCs to indirectly compare 2 treatments that have been compared directly with placebo in different RCTs&#46; Lumley et al&#46;<a class="elsevierStyleCrossRef" href="#bib0110"><span class="elsevierStyleSup">22</span></a> developed NMAs in the strict sense of the term to compare 2 treatments via more than 1 common comparator&#46; Lu and Ades<a class="elsevierStyleCrossRef" href="#bib0125"><span class="elsevierStyleSup">25</span></a> introduced the method of MTCs&#44; which include both indirect comparisons and direct comparisons by means of H2H RCTs &#40;closed loops&#41; and enable a probable efficacy ranking of different treatments to be established&#46;</p>"
        ]
      ]
      2 => array:8 [
        "identificador" => "fig0015"
        "etiqueta" => "Fig&#46; 3"
        "tipo" => "MULTIMEDIAFIGURA"
        "mostrarFloat" => true
        "mostrarDisplay" => false
        "figura" => array:1 [
          0 => array:4 [
            "imagen" => "gr3.jpeg"
            "Alto" => 1401
            "Ancho" => 2341
            "Tamanyo" => 306399
          ]
        ]
        "detalles" => array:1 [
          0 => array:3 [
            "identificador" => "at0015"
            "detalle" => "Fig&#46; "
            "rol" => "short"
          ]
        ]
        "descripcion" => array:1 [
          "en" => "<p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">Example of an NMA network diagram for PASI 90 results at 12 or 16 weeks of biologic treatment for psoriasis&#46;<a class="elsevierStyleCrossRef" href="#bib0135"><span class="elsevierStyleSup">27</span></a> The size of the nodes represents the sample size of the interventions and the widths of the lines the number of studies included&#46;</p> <p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">Abbreviations&#58; ADA&#44; adalimumab&#59; APR&#44; apremilast&#59; BIW&#44; twice weekly&#44; BRO&#44; brodalumab&#59; ENT&#44; etanercept&#59; GUS&#44; guselkumab&#59; IFX&#44; infliximab&#59; IXE&#44; ixekizumab&#59; PBO&#44; placebo&#59; QW&#44; once a week&#59; Q2W&#44; every 2 weeks&#59; SEC&#44; secukinumab&#59; UST&#44; ustekinumab&#46;</p> <p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">Modified from Cameron et al&#46;<a class="elsevierStyleCrossRef" href="#bib0030"><span class="elsevierStyleSup">6</span></a></p>"
        ]
      ]
      3 => array:8 [
        "identificador" => "fig0020"
        "etiqueta" => "Fig&#46; 4"
        "tipo" => "MULTIMEDIAFIGURA"
        "mostrarFloat" => true
        "mostrarDisplay" => false
        "figura" => array:1 [
          0 => array:4 [
            "imagen" => "gr4.jpeg"
            "Alto" => 1335
            "Ancho" => 2341
            "Tamanyo" => 369225
          ]
        ]
        "detalles" => array:1 [
          0 => array:3 [
            "identificador" => "at0020"
            "detalle" => "Fig&#46; "
            "rol" => "short"
          ]
        ]
        "descripcion" => array:1 [
          "en" => "<p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">Example of league table for a frequentist random-effects NMA showing RR outcomes for PASI 90 response adjusted for baseline risk&#46; The treatments are ordered left to right by decreasing SUCRA rank&#46; The effect estimate &#40;efficacy&#41; is the RR of the treatment defined by the column with respect to that defined by the row&#59; if the 95&#37; CI does not include 1&#44; RR&#62;1 favors the treatment defined in the column&#44; RR&#60;1 favors treatment defined in the row&#46;</p> <p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">Extracted from Cameron et al&#46;<a class="elsevierStyleCrossRef" href="#bib0030"><span class="elsevierStyleSup">6</span></a></p>"
        ]
      ]
      4 => array:8 [
        "identificador" => "fig0025"
        "etiqueta" => "Fig&#46; 5"
        "tipo" => "MULTIMEDIAFIGURA"
        "mostrarFloat" => true
        "mostrarDisplay" => false
        "figura" => array:1 [
          0 => array:4 [
            "imagen" => "gr5.jpeg"
            "Alto" => 1772
            "Ancho" => 2508
            "Tamanyo" => 359620
          ]
        ]
        "detalles" => array:1 [
          0 => array:3 [
            "identificador" => "at0025"
            "detalle" => "Fig&#46; "
            "rol" => "short"
          ]
        ]
        "descripcion" => array:1 [
          "en" => "<p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Illustration of SUCRA values&#46;<a class="elsevierStyleCrossRef" href="#bib0135"><span class="elsevierStyleSup">27</span></a> The ranking plot &#40;not represented&#41; would give the probability of the rank order&#44; that is&#44; that each treatment was the best&#44; second&#44; third&#44; etc&#46;&#44; following a normal distribution or another type of distribution&#46; SUCRA is the surface under the cumulative ranking curve&#46; The horizontal axis represents the possible rank for each treatment &#40;from being the best <a class="elsevierStyleCrossRef" href="#bib0005">&#91;1&#93;</a> to the worst &#91;14 in this case&#93; from left to right&#41;&#46; On the vertical axis&#44; the cumulative probability that each treatment is the best option&#44; the first or second best option&#44; one of the best 3 options&#44; etc&#46; If a treatment has 100&#37; probability of being the best&#44; the y value will be 1 &#40;100&#37;&#41; and the curve will be a horizontal line &#40;100&#37; SUCRA&#41;&#59; the curve for a treatment &#40;for example&#44; placebo&#41; that had 100&#37; probability of being the worst would be represented by a horizontal line to the last position where it would increase to 1 &#40;SUCRA 0&#37;&#41;&#46; The intermediate SUCRA values can be considered as the percentage of area under curve compared to the rectangle that represents 100&#37;&#44; and enable different treatments to be ranked&#46; Another way of interpreting SUCRA for a given treatment is as the probability &#40;expressed as a percentage&#41; that the other treatments are worse&#46;</p> <p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">A&#44; brodalumab 140<span class="elsevierStyleHsp" style=""></span>mg&#59; B&#44; brodalumab 210<span class="elsevierStyleHsp" style=""></span>mg&#59; C&#44; guselkumab 100<span class="elsevierStyleHsp" style=""></span>mg&#59; D&#44; guselkumab 50<span class="elsevierStyleHsp" style=""></span>mg&#59; E&#44; ixekizumab 80<span class="elsevierStyleHsp" style=""></span>mg Q2W&#59; F&#44; ixekizumab 80<span class="elsevierStyleHsp" style=""></span>mg Q4W&#59; G&#44; placebo&#59; H&#44; risankizumab 150<span class="elsevierStyleHsp" style=""></span>mg&#59; I&#44; secukinumab 150<span class="elsevierStyleHsp" style=""></span>mg&#59; J&#44; secukinumab 300<span class="elsevierStyleHsp" style=""></span>mg&#59; K&#44; tildrakizumab 100<span class="elsevierStyleHsp" style=""></span>mg&#59; L&#44; tildrakizumab 200<span class="elsevierStyleHsp" style=""></span>mg&#59; M&#44; ustekinumab 45<span class="elsevierStyleHsp" style=""></span>mg&#59; and N&#44; ustekinumab 90<span class="elsevierStyleHsp" style=""></span>mg&#46;</p>"
        ]
      ]
      5 => array:8 [
        "identificador" => "fig0030"
        "etiqueta" => "Fig&#46; 6"
        "tipo" => "MULTIMEDIAFIGURA"
        "mostrarFloat" => true
        "mostrarDisplay" => false
        "figura" => array:1 [
          0 => array:4 [
            "imagen" => "gr6.jpeg"
            "Alto" => 1090
            "Ancho" => 1508
            "Tamanyo" => 103026
          ]
        ]
        "detalles" => array:1 [
          0 => array:3 [
            "identificador" => "at0030"
            "detalle" => "Fig&#46; "
            "rol" => "short"
          ]
        ]
        "descripcion" => array:1 [
          "en" => "<p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">Network diagram of Bayesian fixed-effects NMA performed with RCTs that maintained randomized treatment through week 52&#46;</p> <p id="spar0060" class="elsevierStyleSimplePara elsevierViewall">Extracted from Armstrong et al&#46;<a class="elsevierStyleCrossRef" href="#bib0205"><span class="elsevierStyleSup">41</span></a></p>"
        ]
      ]
      6 => array:8 [
        "identificador" => "tbl0005"
        "etiqueta" => "Table 1"
        "tipo" => "MULTIMEDIATABLA"
        "mostrarFloat" => true
        "mostrarDisplay" => false
        "detalles" => array:1 [
          0 => array:3 [
            "identificador" => "at0035"
            "detalle" => "Table "
            "rol" => "short"
          ]
        ]
        "tabla" => array:1 [
          "tablatextoimagen" => array:1 [
            0 => array:2 [
              "tabla" => array:1 [
                0 => """
                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Treatment&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">RR PASI 90 &#40;95&#37; CI&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">SUCRA &#37;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Infliximab&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">29&#46;52 &#40;19&#46;94-43&#46;70&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">88&#46;5&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Ixekizumab&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">28&#46;12 &#40;23&#46;17-34&#46;12&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">88&#46;3&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Risankizumab&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">27&#46;67 &#40;22&#46;86-33&#46;49&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">87&#46;5&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Bimekizumab&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">58&#46;64 &#40;3&#46;72-923&#46;86&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">83&#46;5&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Guselkumab&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">25&#46;84 &#40;20&#46;90-31&#46;95&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">81&#46;0&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Secukinumab&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">23&#46;97 &#40;20&#46;03-28&#46;70&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">75&#46;4&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Brodalumab&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">21&#46;96 &#40;18&#46;17-26&#46;53&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">68&#46;7&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Tildrakizumab&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">17&#46;26 &#40;8&#46;27-36&#46;05&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">55&#46;8&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Ustekinumab&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">20&#46;02 &#40;13&#46;01-30&#46;81&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">55&#46;6&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Adalimumab&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">13&#46;13 &#40;8&#46;01-21&#46;53&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">58&#46;1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
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          "en" => "<p id="spar0065" class="elsevierStyleSimplePara elsevierViewall">Ranking by RR &#40;95&#37; CI&#41; Compared With Placebo of PASI 90 and SUCRA&#44; Based on the Frequentist Random-Effects NMA of Sbidian et al&#46;<a class="elsevierStyleCrossRef" href="#bib0175"><span class="elsevierStyleSup">35</span></a></p>"
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        "etiqueta" => "Table 2"
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          "leyenda" => "<p id="spar0075" class="elsevierStyleSimplePara elsevierViewall">Abbreviations&#58; BIW&#44; biweekly&#59; QW&#44; every week&#46;</p><p id="spar0080" class="elsevierStyleSimplePara elsevierViewall">The primary analysis includes H2H RCTs up to the end of maintenance treatment&#59; the secondary analysis assumes that the responses at the end of the phase compared with placebo persist through to the end of maintenance&#46; Ranking by probability estimate of PASI 100 response compared with placebo&#44; SUCRA&#44; and ranking &#40;95&#37; CrI&#41;&#46; In <a class="elsevierStyleCrossRef" href="#fig0030">Fig&#46; 6</a> of the corresponding publication &#40;not displayed&#41;&#44; a ranking plot of the secondary analysis is displayed&#44; with the range &#40;or rank number&#41; on the abscissa and the SUCRA on the ordinate axis&#46;<a class="elsevierStyleCrossRef" href="#bib0200"><span class="elsevierStyleSup">40</span></a></p>"
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                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col">Treatment&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td-with-role" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t ; entry_with_role_colgroup " colspan="3" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Primary Analysis &#40;8 Treatments&#41;</th><th class="td-with-role" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t ; entry_with_role_colgroup " colspan="3" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Secondary Analysis &#40;14 Treatments and Placebo&#41;</th></tr><tr title="table-row"><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Probability PASI 100&#37;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">SUCRA &#37;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Rank &#40;95&#37; CrI&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Probability PASI 100&#37;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">SUCRA &#37;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Rank &#40;95&#37; CrI&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Risankizumab 150<span class="elsevierStyleHsp" style=""></span>mg&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">61&#46;1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">97&#46;3&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1 &#40;1-3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">58&#46;9&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">98&#46;2&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1 &#40;1-3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Brodalumab 210<span class="elsevierStyleHsp" style=""></span>mg&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">54&#46;5&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">78&#46;8&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2 &#40;1-4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">53&#46;3&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">89&#46;2&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2 &#40;1-4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Guselkumab 100<span class="elsevierStyleHsp" style=""></span>mg&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">54&#46;2&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">78&#46;2&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">3 &#40;1-4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">53&#46;3&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">89&#46;6&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2 &#40;1-4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Ixekizumab 80<span class="elsevierStyleHsp" style=""></span>mg&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">46&#46;1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">57&#46;1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">4 &#40;2-5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">45&#46;6&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">76&#46;7&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">4 &#40;3-7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Secukinumab 300<span class="elsevierStyleHsp" style=""></span>mg&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">40&#46;9&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">45&#46;7&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">5 &#40;4-5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">40&#46;6&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">67&#46;9&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">5 &#40;4-8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Ustekinumab 45<span class="elsevierStyleHsp" style=""></span>mg &#40;&#60;100<span class="elsevierStyleHsp" style=""></span>kg&#41; or 90<span class="elsevierStyleHsp" style=""></span>mg &#40;&#8805;100<span class="elsevierStyleHsp" style=""></span>kg&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">28&#46;9&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">24&#46;3&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">6 &#40;6-7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">27&#46;8&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">40&#46;3&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">9 &#40;7-12&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Adalimumab 40<span class="elsevierStyleHsp" style=""></span>mg&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">26&#46;4&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">18&#46;4&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">7 &#40;6-7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">25&#46;6&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">34&#46;4&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">10 &#40;7-12&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Etanercept 25<span class="elsevierStyleHsp" style=""></span>mg&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">16&#46;8&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">8 &#40;8-8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">16&#46;9&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">16&#46;5&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">13 &#40;11-13&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " colspan="7" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">BIW&#47;50<span class="elsevierStyleHsp" style=""></span>mg QW</td></tr></tbody></table>
                  """
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          "en" => "<p id="spar0070" class="elsevierStyleSimplePara elsevierViewall">Results &#40;for PASI 100 Response&#41; of a Frequentist NMA with Efficacy Data Through Week 48-52&#46;<a class="elsevierStyleCrossRef" href="#bib0200"><span class="elsevierStyleSup">40</span></a></p>"
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        "etiqueta" => "Table 3"
        "tipo" => "MULTIMEDIATABLA"
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          0 => array:3 [
            "identificador" => "at0045"
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          "leyenda" => "<p id="spar0090" class="elsevierStyleSimplePara elsevierViewall">The 4 significantly superior treatments according to the Bayesian NMA and the 5 according to the random-effects MA &#40;pairwise comparison of ORs&#41; are highlighted in boldface&#59; data corresponding to other treatments are included for comparison&#46;</p>"
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            0 => array:2 [
              "tabla" => array:1 [
                0 => """
                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col">Treatment&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td-with-role" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t ; entry_with_role_colgroup " colspan="2" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Short Term &#40;Bayesian NMA&#41;</th><th class="td-with-role" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t ; entry_with_role_colgroup " colspan="2" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Long Term &#40;Random-effects MA&#41;</th></tr><tr title="table-row"><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">NNT for PASI 90&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">NNT for PASI 100&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Probability of Response PASI90&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Probability of Response PASI100&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">Risankizumab</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">1&#46;42 &#40;1&#46;35-1&#46;51&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">2&#46;48 &#40;2&#46;23-2&#46;79&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">79&#46;4 &#40;75&#46;5-82&#46;9&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">56&#46;2 &#40;52&#46;4-59&#46;9&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">Ixekizumab</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">1&#46;43 &#40;1&#46;36-1&#46;52&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">2&#46;54 &#40;2&#46;28-2&#46;85&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">73&#46;9 &#40;69&#46;9-77&#46;5&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">54&#46;3 &#40;50&#46;0-58&#46;5&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">Brodalumab</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">1&#46;44 &#40;1&#46;36-1&#46;52&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">2&#46;56 &#40;2&#46;28-2&#46;85&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">74&#46;0 &#40;69&#46;3-78&#46;1&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">54&#46;5 &#40;49&#46;5-59&#46;4&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">Guselkumab</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">1&#46;51 &#40;1&#46;41-1&#46;63&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">2&#46;81 &#40;2&#46;46-3&#46;25&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">76&#46;5 &#40;72&#46;1-80&#46;5&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">47&#46;4 &#40;42&#46;5-52&#46;4&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">Secukinumab</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;66 &#40;1&#46;55-1&#46;78&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">3&#46;36 &#40;2&#46;96-3&#46;82&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">71&#46;3 &#40;64&#46;2-77&#46;5&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">42&#46;4 &#40;38&#46;5-46&#46;4&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Infliximab&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;78 &#40;1&#46;62-1&#46;96&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">3&#46;79 &#40;3&#46;21-4&#46;50&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">40&#46;1 &#40;30&#46;0-51&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Not available&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Ustekinumab&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2&#46;34 &#40;2&#46;14-2&#46;56&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">6&#46;02 &#40;5&#46;21-6&#46;99&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">52&#46;4 &#40;47&#46;1-57&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">31&#46;0 &#40;27&#46;2-35&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Adalimumab&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2&#46;35 &#40;2&#46;16-2&#46;57&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">6&#46;10 &#40;5&#46;29-7&#46;09&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">46&#46;2 &#40;38&#46;6-53&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">24&#46;2 &#40;18&#46;8-30&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
              ]
              "imagenFichero" => array:1 [
                0 => "xTab2535807.png"
              ]
            ]
          ]
        ]
        "descripcion" => array:1 [
          "en" => "<p id="spar0085" class="elsevierStyleSimplePara elsevierViewall">Number of Patients Needed to Treat &#40;NNT&#41; to Achieve PASI 90 or PASI 100 Response &#40;95&#37; CI&#41; in the Short Term &#40;10-16 Weeks&#41; and Probability of PASI 90 or PASI 100 Response &#40;95&#37; CI&#41; in the Long Term &#40;44-60 Weeks&#41; Estimated With a Traditional Random-Effects MA for the Best Biologic Treatments&#46;<a class="elsevierStyleCrossRef" href="#bib0205"><span class="elsevierStyleSup">41</span></a></p>"
        ]
      ]
      9 => array:8 [
        "identificador" => "tbl0020"
        "etiqueta" => "Table 4"
        "tipo" => "MULTIMEDIATABLA"
        "mostrarFloat" => true
        "mostrarDisplay" => false
        "detalles" => array:1 [
          0 => array:3 [
            "identificador" => "at0050"
            "detalle" => "Table "
            "rol" => "short"
          ]
        ]
        "tabla" => array:2 [
          "leyenda" => "<p id="spar0100" class="elsevierStyleSimplePara elsevierViewall">Data are provided as estimated OR &#40;95&#37; CI&#41;&#46;</p><p id="spar0105" class="elsevierStyleSimplePara elsevierViewall">In the lower triangle &#40;PASI 100&#41;&#44; the effect estimate &#40;efficacy&#41; is the estimated OR of the treatment defined by the column with respect to that defined by the row&#59; if the 95&#37; CI does not include 1&#44; OR&#62;1 favors the treatment defined in the column&#44; OR<span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>1 favors treatment defined by the row&#46;</p><p id="spar0110" class="elsevierStyleSimplePara elsevierViewall">In the upper triangle &#40;PASI 90&#41;&#44; the effect estimate &#40;efficacy&#41; is the estimated OR for treatment defined by the row with respect to the treatment defined by the column&#46; If the 95&#37; CI does not include 1&#44; OR&#62;1 favors the treatment defined by the row&#44; OR&#60;1 favors the treatment defined by the column&#46; Significant comparisons are highlighted in boldface&#46;</p>"
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                0 => """
                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " colspan="5" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">PASI 90</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">Risankizumab 150</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleBold">mg</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">1&#46;36 &#40;1&#46;01-1&#46;84&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;36 &#40;0&#46;98-1&#46;67&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;18 &#40;0&#46;86-1&#46;64&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">1&#46;55 &#40;1&#46;05-2&#46;31&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;08 &#40;0&#46;86-1&#46;36&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">Ixekizumab 80</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleBold">mg</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;00 &#40;0&#46;74-1&#46;34&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;87 &#40;0&#46;64-1&#46;18&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;14 &#40;0&#46;78-1&#46;66&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;07 &#40;0&#46;83-1&#46;38&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;99 &#40;0&#46;76-1&#46;29&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">Brodalumab 210</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleBold">mg</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;87 &#40;0&#46;63-1&#46;21&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;14 &#40;0&#46;77-1&#46;70&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">1&#46;42 &#40;1&#46;10-1&#46;82&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">1&#46;31 &#40;1&#46;01-1&#46;71&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;33 &#40;1&#46;00-1&#46;76&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">Guselkumab 100</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleBold">mg</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;31 &#40;0&#46;88-1&#46;96&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">1&#46;74 &#40;1&#46;39-2&#46;17&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">1&#46;61 &#40;1&#46;27-2&#46;04&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">1&#46;63 &#40;1&#46;26-2&#46;10&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;23 &#40;0&#46;95-1&#46;58&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">Secukinumab 300</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleBold">mg</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " colspan="5" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">PASI 100</td></tr></tbody></table>
                  """
              ]
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                0 => "xTab2535808.png"
              ]
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        ]
        "descripcion" => array:1 [
          "en" => "<p id="spar0095" class="elsevierStyleSimplePara elsevierViewall">League Table Summarizing the Results of Pairwise Indirect Comparisons &#40;ITCs&#41; for the Different Treatments in the Random-Effects MA for Long-Term Results &#40;44-60 Weeks&#41;&#46;<a class="elsevierStyleCrossRef" href="#bib0205"><span class="elsevierStyleSup">41</span></a></p>"
        ]
      ]
      10 => array:8 [
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        "etiqueta" => "Table 5"
        "tipo" => "MULTIMEDIATABLA"
        "mostrarFloat" => true
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        "detalles" => array:1 [
          0 => array:3 [
            "identificador" => "at0055"
            "detalle" => "Table "
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          ]
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          "leyenda" => "<p id="spar0120" class="elsevierStyleSimplePara elsevierViewall">Abbreviations&#58; BIW&#44; biweekly&#59; CrI&#44; credibility interval&#59; QW&#44; every week&#46; Data are provided as estimated OR &#40;95&#37; CrI&#41;&#46; The effect estimate &#40;efficacy&#41; is the estimated OR of the treatment defined by the column with respect to that defined by the row&#59; if the 95&#37; CrI does not include 1&#44; OR&#62;1 favors the treatment defined in the column&#44; OR&#60;1 favors the treatment defined in the row&#46; Significant comparisons are highlighted in boldface&#46;</p>"
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                  <table border="0" frame="\n
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                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Risankizumab 150<span class="elsevierStyleHsp" style=""></span>mg&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;33 &#40;0&#46;89-1&#46;99&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Brodalumab 210<span class="elsevierStyleHsp" style=""></span>mg&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">1&#46;89 &#40;1&#46;12-3&#46;19&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;42 &#40;0&#46;87-2&#46;30&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Ixekizumab 80<span class="elsevierStyleHsp" style=""></span>mg&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">2&#46;33 &#40;1&#46;54-3&#46;56&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">1&#46;76 &#40;1&#46;22-2&#46;54&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;24 &#40;0&#46;75-2&#46;05&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Secukinumab 300<span class="elsevierStyleHsp" style=""></span>mg&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">3&#46;95 &#40;2&#46;90-5&#46;45&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">2&#46;97 &#40;2&#46;32-3&#46;83&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">2&#46;09 &#40;1&#46;39-3&#46;21&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">1&#46;69 &#40;1&#46;29-2&#46;22&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Ustekinumab 45<span class="elsevierStyleHsp" style=""></span>mg &#40;&#60;100<span class="elsevierStyleHsp" style=""></span>kg&#41; or 90<span class="elsevierStyleHsp" style=""></span>mg &#40;&#8805;100<span class="elsevierStyleHsp" style=""></span>kg&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">7&#46;80 &#40;4&#46;75-12&#46;94&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">5&#46;86 &#40;3&#46;72-9&#46;36&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">4&#46;13 &#40;2&#46;35-7&#46;34&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">3&#46;34 &#40;2&#46;53-4&#46;42&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">1&#46;97 &#40;1&#46;35-2&#46;91&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Etanercept 25<span class="elsevierStyleHsp" style=""></span>mg BIW&#47;50<span class="elsevierStyleHsp" style=""></span>mg QW&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
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          "en" => "<p id="spar0115" class="elsevierStyleSimplePara elsevierViewall">League Table Summarizing the Resulting OR &#40;95&#37; CrI&#41; From Pairwise Comparisons of Treatments in a Fixed-Effects Bayesian NMA of PASI 90 Reponses at 52 Weeks&#46;<a class="elsevierStyleCrossRef" href="#bib0205"><span class="elsevierStyleSup">41</span></a></p>"
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          "leyenda" => "<p id="spar0130" class="elsevierStyleSimplePara elsevierViewall">The data are estimated ORs &#40;95&#37; CI&#41;&#59; PASI 75&#44; PASI 90&#44; and PASI 100 response rates from <a class="elsevierStyleCrossRef" href="#fig0005">Fig&#46; 1 and Fig&#46; 2</a> of the supplementary online content<a class="elsevierStyleCrossRef" href="#bib0205"><span class="elsevierStyleSup">41</span></a>&#59; safety data from <a class="elsevierStyleCrossRef" href="#fig0010">Fig&#46; 2</a> of Poster 6285 presented at the World Congress of Dermatology&#44; Milan&#44; 2019 &#40;Shear NH et al&#46; Comparison of safety outcomes for treatments of moderate to severe plaque psoriasis through a network meta-analysis&#41;&#59; DLQI 0&#47;1 response rates from <a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a> of Poster 1716 presented at the 28th Congress of the European Academy of Dermatology and Venereology in Madrid in 2019 &#40;Warren RB&#44; et al&#46; Comparison of dermatology quality of life index for novel treatments of moderate-to-severe plaque psoriasis&#58; a network meta-analysis&#41;&#46; In boldface&#44; significant results &#40;<span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>&#46;05&#41; based on 95&#37; CI&#46;</p><p id="spar0135" class="elsevierStyleSimplePara elsevierViewall">Abbreviations&#58; adverse events&#44; AE&#59; ND&#44; not determined&#59; SAE&#44; serious adverse events&#46;</p>"
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              "tabla" => array:1 [
                0 => """
                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col">Type of Biological Agent&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col">Biologic&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td-with-role" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t ; entry_with_role_colgroup " colspan="3" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">PASI Response &#40;Short Term&#41;</th><th class="td-with-role" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t ; entry_with_role_colgroup " colspan="3" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">PASI Response &#40;Long Term&#41;</th><th class="td-with-role" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t ; entry_with_role_colgroup " colspan="3" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Safety &#40;Short Term&#41;</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col">DLQI 0&#47;1 Response &#40;Short Term&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th></tr><tr title="table-row"><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">75&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">90&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">100&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">75&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">90&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">100&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">AEs&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">SAEs&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Discontinuation due to AEs&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " colspan="12" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Anti-p19</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Guselkumab 100<span class="elsevierStyleHsp" style=""></span>mg&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;27 &#40;0&#46;93&#8211;1&#46;72&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;23 &#40;0&#46;93&#8211;1&#46;60&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;22 &#40;0&#46;94&#8211;1&#46;59&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;21 &#40;0&#46;75&#8211;1&#46;94&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;18 &#40;0&#46;86&#8211;1&#46;64&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">1&#46;42 &#40;1&#46;10&#8211;1&#46;82&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">ND&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">ND&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">ND&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;13 &#40;0&#46;78&#8211;1&#46;65&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Tildrakizumab 100<span class="elsevierStyleHsp" style=""></span>mg&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">4&#46;88 &#40;3&#46;53&#8211;6&#46;73&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">4&#46;34 &#40;3&#46;20&#8211;5&#46;86&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">4&#46;76 &#40;3&#46;42&#8211;6&#46;62&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">ND&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">ND&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">ND&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">ND&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">ND&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">ND&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">0&#46;44 &#40;0&#46;25&#8211;0&#46;84&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Tildrakizumab 200<span class="elsevierStyleHsp" style=""></span>mg&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">4&#46;49 &#40;3&#46;23&#8211;6&#46;16&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">3&#46;99 &#40;2&#46;94&#8211;5&#46;37&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">4&#46;32 &#40;3&#46;11&#8211;5&#46;97&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">ND&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">ND&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">ND&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;29 &#40;0&#46;92&#8211;1&#46;63&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;32 &#40;0&#46;08&#8211;1&#46;17&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;22 &#40;0&#46;04&#8211;1&#46;10&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;53 &#40;0&#46;29&#8211;1&#46;01&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Anti-p40&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Ustekinumab 45<span class="elsevierStyleHsp" style=""></span>mg &#40;&#60;100<span class="elsevierStyleHsp" style=""></span>kg&#41; or 90<span class="elsevierStyleHsp" style=""></span>mg &#40;&#8805;100<span class="elsevierStyleHsp" style=""></span>kg&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">3&#46;61 &#40;2&#46;80&#8211;4&#46;64&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">3&#46;22 &#40;2&#46;56&#8211;4&#46;03&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">3&#46;39 &#40;2&#46;68&#8211;4&#46;27&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">3&#46;44 &#40;2&#46;14&#8211;5&#46;53&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">3&#46;50 &#40;2&#46;57&#8211;4&#46;78&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">2&#46;85 &#40;2&#46;23&#8211;3&#46;63&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;82 &#40;0&#46;64&#8211;1&#46;03&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;52 &#40;0&#46;24&#8211;1&#46;17&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;34 &#40;0&#46;11&#8211;1&#46;06&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">0&#46;40 &#40;0&#46;30&#8211;0&#46;52&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " colspan="12" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Anti-IL-17</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Brodalumab 210<span class="elsevierStyleHsp" style=""></span>mg&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;06 &#40;0&#46;78&#8211;1&#46;41&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;05 &#40;0&#46;80&#8211;1&#46;34&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;05 &#40;0&#46;81&#8211;1&#46;33&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">2&#46;26 &#40;1&#46;46&#8211;3&#46;51&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;36 &#40;0&#46;98&#8211;1&#46;87&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;07 &#40;0&#46;83&#8211;1&#46;38&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">0&#46;74 &#40;0&#46;58&#8211;0&#46;96&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;56 &#40;0&#46;21&#8211;1&#46;47&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">0&#46;24 &#40;0&#46;07&#8211;0&#46;82&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;29 &#40;0&#46;91&#8211;1&#46;82&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Ixekizumab 80<span class="elsevierStyleHsp" style=""></span>mg&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;05 &#40;0&#46;76&#8211;1&#46;43&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;04 &#40;0&#46;79&#8211;1&#46;36&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;04 &#40;0&#46;80&#8211;1&#46;35&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;59 &#40;0&#46;93&#46; 2&#46;73&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">1&#46;36 &#40;1&#46;01&#8211;1&#46;84&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;08 &#40;0&#46;86&#8211;1&#46;36&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">0&#46;64 &#40;0&#46;47&#8211;0&#46;86&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;49 &#40;0&#46;14&#8211;1&#46;79&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">0&#46;14 &#40;0&#46;03&#8211;0&#46;55&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;21 &#40;0&#46;81&#8211;1&#46;84&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Secukinumab 300<span class="elsevierStyleHsp" style=""></span>mg&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">1&#46;69 &#40;1&#46;26&#8211;2&#46;26&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">1&#46;59 &#40;1&#46;23&#8211;2&#46;05&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">1&#46;58 &#40;1&#46;23&#8211;2&#46;04&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;17 &#40;0&#46;57&#8211;2&#46;40&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">1&#46;55 &#40;1&#46;05&#8211;2&#46;31&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">1&#46;74 &#40;1&#46;39&#8211;2&#46;17&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">0&#46;74 &#40;0&#46;56&#8211;0&#46;96&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;43 &#40;0&#46;18&#8211;1&#46;08&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">0&#46;29 &#40;0&#46;08&#8211;0&#46;97&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">0&#46;65 &#40;0&#46;45&#8211;0&#46;90&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Anti-TNF&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Infliximab 5<span class="elsevierStyleHsp" style=""></span>mg&#47;kg&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">2&#46;03 &#40;1&#46;44&#8211;2&#46;83&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">1&#46;87 &#40;1&#46;38&#8211;2&#46;52&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">1&#46;88 &#40;1&#46;38&#8211;2&#46;54&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">6&#46;49 &#40;4&#46;22&#8211;9&#46;97&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">5&#46;76 &#40;3&#46;50&#8211;9&#46;49&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">ND&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">0&#46;51 &#40;0&#46;33&#8211;0&#46;78&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;53 &#40;0&#46;13&#8211;2&#46;15&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">0&#46;14 &#40;0&#46;03&#8211;0&#46;62&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">ND&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Certolizumab 200<span class="elsevierStyleHsp" style=""></span>mg&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">3&#46;37 &#40;2&#46;37&#8211;4&#46;76&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">3&#46;02 &#40;2&#46;18&#8211;4&#46;15&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">3&#46;15 &#40;2&#46;24&#8211;4&#46;44&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">ND&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">ND&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">ND&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">ND&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">ND&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">ND&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">3&#46;18 &#40;1&#46;62&#8211;5&#46;88&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Certolizumab 400<span class="elsevierStyleHsp" style=""></span>mg&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">3&#46;37 &#40;2&#46;37&#8211;4&#46;76&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">3&#46;02 &#40;2&#46;18&#8211;4&#46;15&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">3&#46;15 &#40;2&#46;24&#8211;4&#46;44&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">ND&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">ND&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">ND&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;00 &#40;0&#46;66&#8211;1&#46;47&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;43 &#40;0&#46;12&#8211;1&#46;40&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">0&#46;16 &#40;0&#46;02&#8211;0&#46;97&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">2&#46;68 &#40;1&#46;43&#8211;4&#46;85&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Adalimumab 40<span class="elsevierStyleHsp" style=""></span>mg&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">3&#46;64 &#40;2&#46;88&#8211;4&#46;64&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">3&#46;25 &#40;2&#46;63&#8211;4&#46;03&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">3&#46;42 &#40;2&#46;76&#8211;4&#46;26&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">4&#46;44 &#40;2&#46;21&#8211;8&#46;91&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">4&#46;50 &#40;3&#46;07&#8211;6&#46;60&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">4&#46;00 &#40;2&#46;80&#8211;5&#46;73&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;88 &#40;0&#46;71&#8211;1&#46;11&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;61 &#40;0&#46;27&#8211;1&#46;31&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">0&#46;33 &#40;0&#46;11&#8211;0&#46;91&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">2&#46;18 &#40;1&#46;62&#8211;3&#46;04&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Etanercept 25<span class="elsevierStyleHsp" style=""></span>mg&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">12&#46;37 &#40;9&#46;15&#8211;16&#46;77&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">11&#46;55 &#40;8&#46;60&#8211;15&#46;54&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">15&#46;61 &#40;11&#46;17&#8211;21&#46;95&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">7&#46;26 &#40;4&#46;76&#8211;11&#46;06&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">7&#46;70 &#40;5&#46;57&#8211;10&#46;64&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">11&#46;36 &#40;7&#46;67&#8211;16&#46;82&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;12 &#40;0&#46;64&#8211;2&#46;06&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;68 &#40;0&#46;12&#8211;3&#46;88&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;32 &#40;0&#46;07&#8211;1&#46;37&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">8&#46;54 &#40;4&#46;36&#8211;16&#46;15&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="11" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">BIW&#47;50<span class="elsevierStyleHsp" style=""></span>mg QW</td></tr></tbody></table>
                  """
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        "descripcion" => array:1 [
          "en" => "<p id="spar0125" class="elsevierStyleSimplePara elsevierViewall">Table Summarizing the Indirect Comparisons of Risankizumab 150<span class="elsevierStyleHsp" style=""></span>mg With Other Biologics for the Treatment of Moderate to Severe Plaque Psoriasis Determined in the NMA Described by Armstrong et al&#46;<a class="elsevierStyleCrossRef" href="#bib0205"><span class="elsevierStyleSup">41</span></a> and in Posters Based on the Same Analysis&#46;</p>"
        ]
      ]
    ]
    "bibliografia" => array:2 [
      "titulo" => "References"
      "seccion" => array:1 [
        0 => array:2 [
          "identificador" => "bibs0005"
          "bibliografiaReferencia" => array:45 [
            0 => array:3 [
              "identificador" => "bib0005"
              "etiqueta" => "1"
              "referencia" => array:1 [
                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "A cost-per-number needed to treat analysis assessing the efficiency of biologic drugs in moderate to severe plaque psoriasis"
                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => false
                          "autores" => array:6 [
                            0 => "M&#46; N&#250;&#241;ez"
                            1 => "T&#46; Huete"
                            2 => "P&#46; De la Cueva"
                            3 => "J&#46;A&#46; Sacrist&#225;n"
                            4 => "S&#46; Hartz"
                            5 => "T&#46; Dilla"
                          ]
                        ]
                      ]
                    ]
                  ]
                  "host" => array:1 [
                    0 => array:2 [
                      "doi" => "10.1016/j.ad.2018.10.017"
                      "Revista" => array:6 [
                        "tituloSerie" => "Actas Dermosifiliogr"
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Article information
ISSN: 15782190
Original language: English
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