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Drug survival data can easily be split for the reason for the discontinuation &#40;e&#46;g&#46;&#44; ineffectiveness or adverse effects&#41; to provide more detailed information&#46;<a class="elsevierStyleCrossRef" href="#bib0045"><span class="elsevierStyleSup">2</span></a> This does not mean that drug survival directly measures the rate of adverse effects or the precise effectiveness of a drug&#46; However&#44; it does provide important information&#44; including the following&#58; &#40;1&#41; which adverse effects or level of ineffectiveness are considered unacceptable by the doctor and patient&#59; &#40;2&#41; when do adverse effects or &#40;in&#41;effectiveness occur&#59; and &#40;3&#41; which variables predict a sustained and successful response to a drug&#46;</p><p id="par0010" class="elsevierStylePara elsevierViewall">One of the author&#39;s main points is that drug survival is particularly inappropriate for the comparison of drugs&#46; However&#44; we would like to point out that&#44; irrespective of the outcome &#40;drug survival or disease activity&#41;&#44; a control group is actually needed for comparative effectiveness studies&#46; In an observational setting&#44; confounding by &#40;contra&#41;indication often plays a role in this context and is indeed problematic&#46; We believe that the real problem in these comparative effectiveness studies the authors are referring to is not the use of drug survival as an outcome&#44; but the lack of a control group or the lack of confounder correction in observational studies&#46;</p><p id="par0015" class="elsevierStylePara elsevierViewall">The authors also describe certain biases that may occur in drug survival studies&#46; Fortunately&#44; there are solutions that minimize the impact of most biases&#44; as we have described in the <span class="elsevierStyleItalic">Journal of Investigative Dermatology</span>&#46;<a class="elsevierStyleCrossRef" href="#bib0075"><span class="elsevierStyleSup">3</span></a> D&#225;vila-Seijo and Garc&#237;a-Doval mention that the authors of many studies fail to report how the end of treatment was defined&#44; and that defining withdrawal on the basis of the loss of one or several doses could lead to problems when studying drugs with long dosing intervals&#46; This problem can be solved in part by defining discontinuation as withdrawal of the treatment for a period of more than 90 days&#59; this is an arbitrary but widely accepted threshold&#46;<a class="elsevierStyleCrossRef" href="#bib0045"><span class="elsevierStyleSup">2</span></a> The statement that ustekinumab should be stopped 24 weeks before it can be considered to have been discontinued does not seem valid to us&#46; We dealt with this problem differently&#44; analyzing cases of ustekinumab in which therapy had been stopped for more than 90 days with sensitivity analyses&#44; considering the last injection date as well as the last injection date plus the specific treatment interval for each case &#40;often 12 weeks&#41; as the possible dates of discontinuation&#46;<a class="elsevierStyleCrossRefs" href="#bib0075"><span class="elsevierStyleSup">3&#44;4</span></a> The authors state that intermittent therapy poses a problem in drug survival&#46; We&#44; however&#44; think that patients on intermittent therapy should not be investigated using this method because the research question in drug survival studies refers to long-term use of treatment for chronic disease&#46; To our knowledge&#44; hardly any articles on drug survival focus on intermittent therapy&#46; Analyzing positive events&#44; such as disease remission&#44; is also considered a problem&#46; Positive events can be analyzed when the distinction between negative and positive events is maintained at all times and the reader is made aware of this important distinction&#46;<a class="elsevierStyleCrossRef" href="#bib0075"><span class="elsevierStyleSup">3</span></a> If a drug can be discontinued due to both positive &#40;e&#46;g&#46; remission&#41; and negative &#40;e&#46;g&#46; ineffectiveness&#41; events&#44; one can censor the positive events when one is only interested in the negative events and vice versa&#46;</p><p id="par0020" class="elsevierStylePara elsevierViewall">We agree that drug survival can be influenced by external factors&#44; such as changes in reimbursement criteria or the introduction of new biologics&#46; One solution to this problem is to restrict analyses to specific time periods&#46;<a class="elsevierStyleCrossRef" href="#bib0075"><span class="elsevierStyleSup">3</span></a> For instance&#44; in a drug survival study &#40;adalimumab&#44; etanercept&#44; ustekinumab&#41;&#44; we chose to analyze only treatment episodes that started after the introduction of ustekinumab&#44; thereby minimizing the competing risks&#46;<a class="elsevierStyleCrossRef" href="#bib0055"><span class="elsevierStyleSup">4</span></a> Events that lead to withdrawal of an agent do indeed differ between prescribers and patients&#46; Therefore&#44; a large&#44; heterogeneous group of prescribers and patients should be evaluated&#59; offering a general view of what patients and doctors accept from a drug in terms of safety issues and ineffectiveness&#46; It has been shown that large psoriasis drug survival studies with a heterogeneous group of patients and prescribers reported similar findings overall&#46;<a class="elsevierStyleCrossRefs" href="#bib0060"><span class="elsevierStyleSup">5&#8211;7</span></a></p><p id="par0025" class="elsevierStylePara elsevierViewall">To answer the question asked by these authors&#8212;&#8220;Is it really important which treatments survive longer&#63;&#8221;&#8212; we do think that drug survival is a suitable measure for analyzing the performance of a drug in daily practice&#44; provided the necessary steps are taken to minimize bias&#46;<a class="elsevierStyleCrossRef" href="#bib0075"><span class="elsevierStyleSup">3</span></a> However&#44; drug survival should not be regarded as a sole outcome measure for effectiveness or safety&#46; It is important to use a combination of several different outcomes&#44; each one with its specific biases&#44; to fully judge the performance of a drug&#46;</p><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0005">Conflict of interest</span><p id="par0030" class="elsevierStylePara elsevierViewall">J&#46;M&#46;P&#46;A&#46; van den Reek performed clinical trials for AbbVie and Janssen&#46; J&#46;M&#46;P&#46;A&#46; van den Reek has received speaking fees from AbbVie and Eli Lilly and reimbursement for attending a symposium from Janssen&#44; Pfizer&#44; and AbbVie&#46; Fees were paid directly to the institution&#46;</p><p id="par0035" class="elsevierStylePara elsevierViewall">E&#46;M&#46;G&#46;J&#46; de Jong has received grants for the independent research fund of the department of dermatology of Radboud university medical centre in Nijmegen from AbbVie&#44; Pfizer&#44; and Janssen&#46; She has acted as consultant and&#47;or paid speaker for and&#47;or participated in research sponsored by companies that manufacture drugs used for the treatment of psoriasis&#44; including AbbVie&#44; Janssen&#44; MSD&#44; Pfizer&#44; Novartis&#44; Lily&#44; Amgen&#44; and Cellgene&#46; The resources obtained are not received personally but are paid to the independent research fund of the department of dermatology of Radboud university medical centre in Nijmegen in the Netherlands&#46;</p></span></span>"
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Letter to the Editor
Comment on “Drug survival analysis is not a good method for assessing the safety or effectiveness of systemic therapies in psoriasis”
Réplica a: “El análisis de supervivencia no es un buen método para evaluar la seguridad o la efectividad de los tratamientos sistémicos en psoriasis”
J.M.P.A. van den Reeka,
Autor para correspondencia
Juul.vandenReek@Radboudumc.nl

Corresponding author.
, W. Kievitb, E.M.G.J. de Jonga,c
a Department of Dermatology, Radboud University Medical Center, Nijmegen, The Netherlands
b Department of Health Evidence, Radboud Institute of Health Sciences, Nijmegen, The Netherlands
c Radboud University, Nijmegen, The Netherlands
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        "titulo" => "R&#233;plica a&#58; &#8220;El an&#225;lisis de supervivencia no es un buen m&#233;todo para evaluar la seguridad o la efectividad de los tratamientos sist&#233;micos en psoriasis&#8221;"
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    "textoCompleto" => "<span class="elsevierStyleSections"><p id="par0005" class="elsevierStylePara elsevierViewall">We read with great interest the article &#8220;Drug survival analysis is not a good method for assessing the safety or effectiveness of systemic therapies in psoriasis&#8221; by Davila-Seijo and Garcia-Doval&#46;<a class="elsevierStyleCrossRef" href="#bib0040"><span class="elsevierStyleSup">1</span></a> In the article&#44; the authors explain that drug survival studies are not a good way to evaluate the safety or effectiveness of psoriasis treatments because biases can seriously affect the interpretation of drug survival data&#46; We agree with this statement but would like to add that drug survival should be regarded as regarded as a different entity than a mere effectiveness or safety outcome&#44; and that it should be complementary to those outcomes&#46; Drug survival is a comprehensive measure that <span class="elsevierStyleItalic">incorporates</span> effectiveness and safety as well as the preferences of both patients and doctors&#46; Drug survival data can easily be split for the reason for the discontinuation &#40;e&#46;g&#46;&#44; ineffectiveness or adverse effects&#41; to provide more detailed information&#46;<a class="elsevierStyleCrossRef" href="#bib0045"><span class="elsevierStyleSup">2</span></a> This does not mean that drug survival directly measures the rate of adverse effects or the precise effectiveness of a drug&#46; However&#44; it does provide important information&#44; including the following&#58; &#40;1&#41; which adverse effects or level of ineffectiveness are considered unacceptable by the doctor and patient&#59; &#40;2&#41; when do adverse effects or &#40;in&#41;effectiveness occur&#59; and &#40;3&#41; which variables predict a sustained and successful response to a drug&#46;</p><p id="par0010" class="elsevierStylePara elsevierViewall">One of the author&#39;s main points is that drug survival is particularly inappropriate for the comparison of drugs&#46; However&#44; we would like to point out that&#44; irrespective of the outcome &#40;drug survival or disease activity&#41;&#44; a control group is actually needed for comparative effectiveness studies&#46; In an observational setting&#44; confounding by &#40;contra&#41;indication often plays a role in this context and is indeed problematic&#46; We believe that the real problem in these comparative effectiveness studies the authors are referring to is not the use of drug survival as an outcome&#44; but the lack of a control group or the lack of confounder correction in observational studies&#46;</p><p id="par0015" class="elsevierStylePara elsevierViewall">The authors also describe certain biases that may occur in drug survival studies&#46; Fortunately&#44; there are solutions that minimize the impact of most biases&#44; as we have described in the <span class="elsevierStyleItalic">Journal of Investigative Dermatology</span>&#46;<a class="elsevierStyleCrossRef" href="#bib0075"><span class="elsevierStyleSup">3</span></a> D&#225;vila-Seijo and Garc&#237;a-Doval mention that the authors of many studies fail to report how the end of treatment was defined&#44; and that defining withdrawal on the basis of the loss of one or several doses could lead to problems when studying drugs with long dosing intervals&#46; This problem can be solved in part by defining discontinuation as withdrawal of the treatment for a period of more than 90 days&#59; this is an arbitrary but widely accepted threshold&#46;<a class="elsevierStyleCrossRef" href="#bib0045"><span class="elsevierStyleSup">2</span></a> The statement that ustekinumab should be stopped 24 weeks before it can be considered to have been discontinued does not seem valid to us&#46; We dealt with this problem differently&#44; analyzing cases of ustekinumab in which therapy had been stopped for more than 90 days with sensitivity analyses&#44; considering the last injection date as well as the last injection date plus the specific treatment interval for each case &#40;often 12 weeks&#41; as the possible dates of discontinuation&#46;<a class="elsevierStyleCrossRefs" href="#bib0075"><span class="elsevierStyleSup">3&#44;4</span></a> The authors state that intermittent therapy poses a problem in drug survival&#46; We&#44; however&#44; think that patients on intermittent therapy should not be investigated using this method because the research question in drug survival studies refers to long-term use of treatment for chronic disease&#46; To our knowledge&#44; hardly any articles on drug survival focus on intermittent therapy&#46; Analyzing positive events&#44; such as disease remission&#44; is also considered a problem&#46; Positive events can be analyzed when the distinction between negative and positive events is maintained at all times and the reader is made aware of this important distinction&#46;<a class="elsevierStyleCrossRef" href="#bib0075"><span class="elsevierStyleSup">3</span></a> If a drug can be discontinued due to both positive &#40;e&#46;g&#46; remission&#41; and negative &#40;e&#46;g&#46; ineffectiveness&#41; events&#44; one can censor the positive events when one is only interested in the negative events and vice versa&#46;</p><p id="par0020" class="elsevierStylePara elsevierViewall">We agree that drug survival can be influenced by external factors&#44; such as changes in reimbursement criteria or the introduction of new biologics&#46; One solution to this problem is to restrict analyses to specific time periods&#46;<a class="elsevierStyleCrossRef" href="#bib0075"><span class="elsevierStyleSup">3</span></a> For instance&#44; in a drug survival study &#40;adalimumab&#44; etanercept&#44; ustekinumab&#41;&#44; we chose to analyze only treatment episodes that started after the introduction of ustekinumab&#44; thereby minimizing the competing risks&#46;<a class="elsevierStyleCrossRef" href="#bib0055"><span class="elsevierStyleSup">4</span></a> Events that lead to withdrawal of an agent do indeed differ between prescribers and patients&#46; Therefore&#44; a large&#44; heterogeneous group of prescribers and patients should be evaluated&#59; offering a general view of what patients and doctors accept from a drug in terms of safety issues and ineffectiveness&#46; It has been shown that large psoriasis drug survival studies with a heterogeneous group of patients and prescribers reported similar findings overall&#46;<a class="elsevierStyleCrossRefs" href="#bib0060"><span class="elsevierStyleSup">5&#8211;7</span></a></p><p id="par0025" class="elsevierStylePara elsevierViewall">To answer the question asked by these authors&#8212;&#8220;Is it really important which treatments survive longer&#63;&#8221;&#8212; we do think that drug survival is a suitable measure for analyzing the performance of a drug in daily practice&#44; provided the necessary steps are taken to minimize bias&#46;<a class="elsevierStyleCrossRef" href="#bib0075"><span class="elsevierStyleSup">3</span></a> However&#44; drug survival should not be regarded as a sole outcome measure for effectiveness or safety&#46; It is important to use a combination of several different outcomes&#44; each one with its specific biases&#44; to fully judge the performance of a drug&#46;</p><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0005">Conflict of interest</span><p id="par0030" class="elsevierStylePara elsevierViewall">J&#46;M&#46;P&#46;A&#46; van den Reek performed clinical trials for AbbVie and Janssen&#46; J&#46;M&#46;P&#46;A&#46; van den Reek has received speaking fees from AbbVie and Eli Lilly and reimbursement for attending a symposium from Janssen&#44; Pfizer&#44; and AbbVie&#46; Fees were paid directly to the institution&#46;</p><p id="par0035" class="elsevierStylePara elsevierViewall">E&#46;M&#46;G&#46;J&#46; de Jong has received grants for the independent research fund of the department of dermatology of Radboud university medical centre in Nijmegen from AbbVie&#44; Pfizer&#44; and Janssen&#46; She has acted as consultant and&#47;or paid speaker for and&#47;or participated in research sponsored by companies that manufacture drugs used for the treatment of psoriasis&#44; including AbbVie&#44; Janssen&#44; MSD&#44; Pfizer&#44; Novartis&#44; Lily&#44; Amgen&#44; and Cellgene&#46; The resources obtained are not received personally but are paid to the independent research fund of the department of dermatology of Radboud university medical centre in Nijmegen in the Netherlands&#46;</p></span></span>"
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