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    "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0070">Introduction</span><p id="par0005" class="elsevierStylePara elsevierViewall">According to a meta-analysis conducted over the past decade&#44; the incidence rate of cutaneous melanoma in Spain is nearly 8&#46;7 cases per 100&#44;000 person-years&#44;<a class="elsevierStyleCrossRef" href="#bib0135"><span class="elsevierStyleSup">1</span></a> which is approximately 4000 new cases each year&#46; Recently&#44; a possible increase in this incidence rate has been reported&#44;<a class="elsevierStyleCrossRef" href="#bib0140"><span class="elsevierStyleSup">2</span></a> even exceeding 2&#37; annually&#46;<a class="elsevierStyleCrossRef" href="#bib0145"><span class="elsevierStyleSup">3</span></a> The mortality rate would be around 2&#46;2 cases per 100&#44;000 person-years&#46;<a class="elsevierStyleCrossRef" href="#bib0135"><span class="elsevierStyleSup">1</span></a></p><p id="par0010" class="elsevierStylePara elsevierViewall">Currently&#44; the prognosis of melanoma is based on variables included in the 8<span class="elsevierStyleSup">th</span> edition of the American Joint Committee on Cancer &#40;AJCC&#41; melanoma staging&#44;<a class="elsevierStyleCrossRef" href="#bib0150"><span class="elsevierStyleSup">4</span></a> which are summarized in tumor thickness and ulceration for the earliest stages &#40;stages I and II&#41; and locoregional lymphatic involvement &#40;lymphadenopathies and&#47;or satellitosis&#41;&#44; or distant metastasis for stages III and IV&#44; each with an expected average survival&#46;<a class="elsevierStyleCrossRef" href="#bib0155"><span class="elsevierStyleSup">5</span></a> However&#44; there is variability in survival within each stage&#44; suggesting the influence of other less studied factors&#44; in addition to the biological characteristics of the tumor&#46; In Sweden&#44; an impact of socioeconomic factors in this regard has been reported&#44;<a class="elsevierStyleCrossRef" href="#bib0160"><span class="elsevierStyleSup">6</span></a> but the possible influence of these factors in Spain is unknown to this date&#46; Furthermore&#44; assessing whether there are individual-related factors &#40;demographic&#44; socioeconomic&#44; clinical&#41; as well as factors related to health care in Spain that may imply diagnostic delays could provide highly relevant information for improving the survival of melanoma-diagnosed patients in the future&#44; by identifying vulnerable populations and potential areas for improvement in health care&#46;</p><p id="par0015" class="elsevierStylePara elsevierViewall">To address these issues&#44; it is essential to have a melanoma patient registry that is as representative as possible both geographically and in terms of different types of health care&#46; The Spanish Academy of Dermatology and Venereology &#40;AEDV&#41; has spearheaded the creation of such a registry&#44; known as the Spanish Melanoma Registry &#40;REGESMEL&#41;&#46;</p><p id="par0020" class="elsevierStylePara elsevierViewall">The aim of this article is to present REGESMEL&#44; and provide basic descriptive data in its first year of operation&#46;</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0075">Materials and methods</span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0080">Design</span><p id="par0025" class="elsevierStylePara elsevierViewall">This is a prospective cohort that collects pseudonymized data of consecutive patients with new diagnoses of invasive primary cutaneous melanoma&#46; Melanomas in situ&#44; mucosal melanomas &#40;except for those located in the genital area that do not affect the mucosa&#41;&#44; and melanomas of unknown origin are excluded from the study&#46;</p></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0085">Measurement and variables</span><p id="par0030" class="elsevierStylePara elsevierViewall">Study data are collected and managed using the Research Electronic Data Capture &#40;REDCap&#41; electronic data capture tools hosted at the AEDV&#46;<a class="elsevierStyleCrossRef" href="#bib0165"><span class="elsevierStyleSup">7</span></a> REDCap is a secure web-based software platform designed to support data capture for research studies&#46;</p><p id="par0035" class="elsevierStylePara elsevierViewall">The study was approved by Hospital Universitario Reina Sof&#237;a Clinical Research and Ethics Committee&#44; C&#243;rdoba&#44; Spain &#40;reference No&#46;&#58; 5345&#41;&#46; The study includes an early visit and further follow-up visits in which data are collected in 4 blocks&#58; a&#41; Inclusion&#44; covering demographic data &#40;including place of residence&#41;&#44; skin phototype&#44; primary tumor details&#44; and data on initial staging&#59; b&#41; Baseline and detection status describing the patients&#8217; history&#44; their personal situation&#44; and aspects related to lesion diagnosis by the patient or the health care system&#59; c&#41; Surgical procedure performed&#59; d&#41; Medical treatment&#44; without specifying doses or intervals&#46;</p><p id="par0040" class="elsevierStylePara elsevierViewall">During follow-up visits&#44; tests performed&#44; information on staging&#44; and the patient&#39;s vital status are collected&#46; A section on second or subsequent melanomas is also included&#44; detailing their staging &#40;see <a class="elsevierStyleCrossRef" href="#sec0045">Appendix A of the supplementary data</a>&#41;&#46;</p><p id="par0045" class="elsevierStylePara elsevierViewall">For this study&#44; collected data have been compiled into indices based on the nature of the variable &#40;mean and standard deviation&#44; frequencies&#44; medians&#41;&#46;</p><p id="par0050" class="elsevierStylePara elsevierViewall">REGESMEL incorporates information on the patients&#8217; approximate residence obtained through the Cartociudad portal of the Government of Spain&#44;<a class="elsevierStyleCrossRef" href="#bib0170"><span class="elsevierStyleSup">8</span></a> from which the patients&#8217; census residence is obtained&#46; This information will allow drawing information on the patients&#8217; socioeconomic level &#40;based on the Spanish deprivation index developed by the Spanish Society of Epidemiology<a class="elsevierStyleCrossRef" href="#bib0175"><span class="elsevierStyleSup">9</span></a>&#41; and type of residential environment &#40;urban or rural&#41; using spatial analysis techniques&#46; The census record&#44; province&#44; and autonomous community of residence will be the units of analysis&#46;</p><p id="par0055" class="elsevierStylePara elsevierViewall">For this initial work&#44; basic descriptive data include a few individual-related factors &#40;such as age&#44; sex&#44; functional status&#44; province of residence&#41;&#44; tumor biology-related factors &#40;Breslow tumor thickness&#44; stage&#44; and location&#41;&#44; and finally health care-related factors &#40;such as the type of health center involved&#44; the person who established the level of suspicion&#44; the use of teledermatology tools&#44; and whether selective sentinel lymph node biopsy &#40;SLNB&#41; was performed&#41;&#46;</p></span></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0090">Results</span><p id="par0060" class="elsevierStylePara elsevierViewall">The Registry began to include patients on June 1<span class="elsevierStyleSup">st</span>&#44; 2022&#44; with the progressive inclusion of different participant centers&#46; At the time of analysis&#44; September 30<span class="elsevierStyleSup">th</span>&#44; 2023&#44; the registry included a total of 450 patients from 19 hospital centers across Spain &#40;see <a class="elsevierStyleCrossRef" href="#tbl0005">table 1</a>&#41;&#46; Regarding gender distribution&#44; 250 patients &#40;55&#46;6&#37;&#41; were women and 200 &#40;44&#46;4&#37;&#41; men&#44; with a mean age of 62&#46;7 &#40;SD&#44; 15&#46;8&#41;&#46; <a class="elsevierStyleCrossRef" href="#fig0005">Figure 1</a> shows the distribution by provinces&#44; with Barcelona and Madrid contributing the highest number of cases &#40;25&#46;3&#37; and 23&#37;&#44; respectively&#41;&#46;</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><elsevierMultimedia ident="fig0005"></elsevierMultimedia><p id="par0065" class="elsevierStylePara elsevierViewall">Regarding anatomoclinical data&#44; thin melanomas &#8804; 1<span class="elsevierStyleHsp" style=""></span>mm constituted the majority group &#40;54&#46;7&#37;&#41; &#40;<a class="elsevierStyleCrossRef" href="#tbl0005">table 1</a>&#41;&#46; The most frequent locations were posterior trunk &#40;35&#46;2&#37;&#41;&#44; anterior trunk &#40;12&#37;&#41;&#44; arm &#40;10&#46;2&#37;&#41;&#44; and leg &#40;10&#46;2&#37;&#41;&#46;</p><p id="par0070" class="elsevierStylePara elsevierViewall">Regarding health care-related factors&#44; 83&#46;2&#37; of patients received treatment at a public center&#44; 16&#46;1&#37; at a private center&#44; and 0&#46;5&#37; at a public-private partnership center&#44; with access covered by the public health care system&#46; Additionally&#44; some form of teledermatology mechanism was used in 21&#46;6&#37; of cases&#46;</p><p id="par0075" class="elsevierStylePara elsevierViewall">A total of 40&#46;7&#37; out of the total number of patients included underwent SLNB&#44; 173 of patients &#40;67&#46;6&#37;&#41; with &#8805; pT1b and 10 patients &#40;5&#37;&#41; with pT1a&#46; Most cases had good functional status &#40;79&#46;8&#37; had ECOG 0 functional status&#59; and 11&#37;&#44; ECOG 1&#41;&#46;</p><p id="par0080" class="elsevierStylePara elsevierViewall">Regarding the person who suspected diagnosis&#44; in one-third of cases &#40;30&#46;4&#37;&#41;&#44; it was the patient themselves&#44; while in another third&#44; the dermatologist &#40;29&#46;6&#37;&#41; did so followed by cohabitants &#40;11&#46;8&#37;&#41; or the general practitioner &#40;9&#46;6&#37;&#41;&#46;</p></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0095">Discussion</span><p id="par0085" class="elsevierStylePara elsevierViewall">The REGESMEL registry&#44; promoted by the AEDV&#44; is a novel project with different objectives from the previous melanoma registry developed by the AEDV&#46;<a class="elsevierStyleCrossRef" href="#bib0180"><span class="elsevierStyleSup">10</span></a></p><p id="par0090" class="elsevierStylePara elsevierViewall">In its first year of operation&#44; REGESMEL has been well received among Spanish academic dermatologists with participation from 19 centers and the inclusion of more than 400 patients&#46; Considering the estimated incidence rate in Spain &#40;between 3600 and 4700 new cases each year<a class="elsevierStyleCrossRef" href="#bib0135"><span class="elsevierStyleSup">1</span></a>&#41;&#44; the inclusion of almost 10&#37; of cases within the first year reflects good prospects for achieving significant population representativeness&#44; despite 30 provinces still lacking centers linked to the project&#46;</p><p id="par0095" class="elsevierStylePara elsevierViewall">To date&#44; the disease is more prevalent among women&#44; representing 55&#46;6&#37; of cases&#44; very similar to previous data in our country&#44;<a class="elsevierStyleCrossRef" href="#bib0180"><span class="elsevierStyleSup">10</span></a> which contrasts with data from southern Europe where more cases are diagnosed in men&#46;<a class="elsevierStyleCrossRef" href="#bib0185"><span class="elsevierStyleSup">11</span></a></p><p id="par0100" class="elsevierStylePara elsevierViewall">Regarding the Breslow tumor thickness&#44; we should mention that 54&#46;7&#37; of all melanomas reported are thin melanomas &#8804; 1<span class="elsevierStyleHsp" style=""></span>mm&#46; This information updated to 2023 reflects a constant trend of increasingly thinner lesions diagnosed vs the 46&#46;7&#37; reported from 1997 through 2001&#44; the 50&#46;8&#37; reported from 2002 through 2006&#44; and the 53&#46;3&#37; described form 2007 through 2011&#46;<a class="elsevierStyleCrossRef" href="#bib0180"><span class="elsevierStyleSup">10</span></a> This increase in thin lesions is a trend observed across Europe&#46;<a class="elsevierStyleCrossRef" href="#bib0190"><span class="elsevierStyleSup">12</span></a></p><p id="par0105" class="elsevierStylePara elsevierViewall">The most common location of melanomas is the posterior trunk&#44; accounting for 35&#46;2&#37; of cases&#44; and together with the anterior trunk &#40;12&#37;&#41;&#44; they account for 47&#46;2&#37;&#46; On the other hand&#44; locations in arms&#44; legs&#44; or thighs comprise approximately 10&#37; of cases or even less&#46; Head and neck areas account for &#60;<span class="elsevierStyleHsp" style=""></span>10&#37; in each of their sublocations&#44; such as face&#44; scalp&#44; ear&#44; and neck&#46; This data is relevant for several reasons&#46; Firstly&#44; it can help support etiopathogenic hypotheses related to intermittent exposure to UV radiation vs chronic exposure in the head and neck region&#46; Moreover&#44; it has significant implications for education and screening practices&#44; since nearly half of the cases are diagnosed on the trunk&#44; suggesting the importance of recommending examination of the back and anterior trunk&#44; according to each patient&#39;s risk profile&#46;<a class="elsevierStyleCrossRef" href="#bib0195"><span class="elsevierStyleSup">13</span></a></p><p id="par0110" class="elsevierStylePara elsevierViewall">Most patients &#40;83&#46;2&#37;&#41; received a definitive diagnosis at public health care centers&#44; while in private centers&#44; this rate was 16&#46;1&#37; &#40;dropping to 0&#46;5&#37; in centers with agreements&#41;&#46; This suggests that the presence of private centers in REGESMEL would be represented based on the reality of Spain<a class="elsevierStyleCrossRef" href="#bib0200"><span class="elsevierStyleSup">14</span></a> since&#44; according to data from the Spanish National Institute of Statistics&#44; 16&#46;3&#37; of the population has private health care insurance&#46;<a class="elsevierStyleCrossRef" href="#bib0205"><span class="elsevierStyleSup">15</span></a></p><p id="par0115" class="elsevierStylePara elsevierViewall">A striking data is that in 21&#46;6&#37; of registered melanoma cases&#44; some form of teledermatology tool was used in their management&#46; This reflects the current increasing use of various teledermatology tools in skin cancer diagnosis and makes the registry a highly interesting element in the coming future to evaluate different variables related to teledermatology in Spain&#46;<a class="elsevierStyleCrossRef" href="#bib0210"><span class="elsevierStyleSup">16</span></a></p><p id="par0120" class="elsevierStylePara elsevierViewall">In the Registry&#44; 30&#46;4&#37; of cases were initially suspected by the patients themselves&#44; followed by 29&#46;6&#37; of cases which were suspected by dermatologists&#46; These data are different from those published back in 2016 by Avil&#233;s-Izquierdo et al&#46;<a class="elsevierStyleCrossRef" href="#bib0215"><span class="elsevierStyleSup">17</span></a> &#40;53&#37; and 20&#37;&#44; respectively&#41;&#46; Recent studies on self-detection of cutaneous cancer by patients provide similar results &#40;50&#37; self-detection&#41;&#44; also highlighting the importance of the patients&#8217; environment in suspicion of cutaneous tumors&#46;<a class="elsevierStyleCrossRefs" href="#bib0220"><span class="elsevierStyleSup">18&#44;19</span></a></p><p id="par0125" class="elsevierStylePara elsevierViewall">The SLNB was performed in 40&#46;7&#37; of all reported cases&#46; Clinical practice guidelines recommend discussing and offering SLNB to patients with melanoma &#8805; pT1b&#46;<a class="elsevierStyleCrossRefs" href="#bib0230"><span class="elsevierStyleSup">20&#44;21</span></a> These melanomas encompass 46&#46;7&#37; of all reported cases &#40;data not shown&#41;&#44; which means that the percentage of SLNB performance in Spain seems to be higher than that reported in other countries such as Australia or the United States&#46;<a class="elsevierStyleCrossRefs" href="#bib0240"><span class="elsevierStyleSup">22&#44;23</span></a></p><p id="par0130" class="elsevierStylePara elsevierViewall">The incorporation of geographical data into cancer studies is becoming increasingly important<a class="elsevierStyleCrossRef" href="#bib0250"><span class="elsevierStyleSup">24</span></a> and can provide relevant information in the field of melanoma&#46;<a class="elsevierStyleCrossRefs" href="#bib0255"><span class="elsevierStyleSup">25&#44;26</span></a> REGESMEL allows analyzing geographical data at census tract level and already has active recruitment in 15 Spanish provinces&#46; Several centers from other provinces are about to start their participation&#44; and efforts will be made to continue adding other areas within Spain&#46;</p><p id="par0135" class="elsevierStylePara elsevierViewall">In conclusion&#44; some preliminary data from REGESMEL within its first year of operation have been presented&#46; The distribution of pathological and demographic variables shown is consistent with data provided by other studies&#46; Additionally&#44; the number of included patients and their potential representativeness&#44; estimated in relation to the total number of diagnosed melanoma patients in Spain&#44; makes the registry an important tool for addressing a wide range of research questions&#46; These are not only limited to those related to melanoma biology and its management but also involve various individual patient factors and the health care system <span class="elsevierStyleItalic">per se</span> in relation to the prognosis of this type of tumor&#46; Studying these factors could help identify vulnerable population groups in Spain and create a window of opportunity to implement public health measures aimed at strengthening areas where intervention is most needed&#46;</p><p id="par0140" class="elsevierStylePara elsevierViewall">As a result&#44; REGESMEL has become a valuable research tool available to AEDV academics who want to collaborate through their work centers or propose their own research projects&#46;</p></span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0100">Funding</span><p id="par0145" class="elsevierStylePara elsevierViewall">REGESMEL has received untied support for its implementation from ISDIN S&#46;A&#46; &#40;Barcelona&#44; Spain&#41;&#46;</p></span><span id="sec0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0105">Conflicts of interest</span><p id="par0150" class="elsevierStylePara elsevierViewall">Susana Puig has been a speaker for&#58; Almirall&#44; Cantabria&#44; Eucerin&#44; ISDIN&#44; La Roche Posay&#44; Novartis&#44; Pierre Fabre&#44; Roche&#44; Sanofi&#44; Sunpharma&#59; consultant or advisory board member for&#58; Almirall&#44; BMS&#44; Biofrontera&#44; MSD&#44; ISDIN&#44; La Roche Posay&#44; Novartis&#44; Polychem&#44; Sunpharma&#46; GRANTS &#38; RESEARCH SUPPORT&#58; Almirall&#44; Amgen&#44; AMLO&#44; BMS&#44; Biofrontera&#44; Canfield&#44; Cantabria&#44; Castle Bioscience&#44; Eucerin&#44; Fotofinder&#44; GSK&#44; ISDIN&#44; La Roche Posay&#44; Leo&#44; Mavig&#44; Novartis&#44; Polychem&#44; Roche&#44; Edposo&#47;partner&#58; Almirall&#44; Amgen&#44; BMS&#44; Canfield&#44; Fotofinder&#44; ISDIN&#44; La Roche Posay&#44; Mavig&#44; Nevisense&#44; Novartis&#44; Pierre Fabre&#44; Roche&#46; Others&#58; Abbie &#40;educational activities&#41;&#44; Lilly &#40;educational activities&#41;&#44; co-founder of Diagnosis Dermatologica sl and Athena Tech&#44; investor of Dermavision&#46;</p><p id="par0155" class="elsevierStylePara elsevierViewall">The remaining authors declared no conflicts of interest whatsoever&#46;</p></span></span>"
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        "resumen" => "<span id="abst0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">Introduction</span><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">The incidence of melanoma is rising in Spain&#46; The prognostic stages of patients with melanoma are determined by various biological factors&#44; such as tumor thickness&#44; ulceration&#44; or the presence of regional or distant metastases&#46; The Spanish Academy of Dermatology and Venereology &#40;AEDV&#41; has encouraged the creation of a Spanish Melanoma Registry &#40;REGESMEL&#41; to evaluate other individual and health system-related factors that may impact the prognosis of patients with melanoma&#46; The aim of this article is to introduce REGESMEL and provide basic descriptive data for its first year of operation&#46;</p></span> <span id="abst0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0020">Methods</span><p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">REGESMEL is a prospective&#44; multicentre cohort of consecutive patients with invasive cutaneous melanoma that collects demographic and staging data as well as individual and healthcare-related baseline data&#46; It also records the medical and surgical treatment received by patients&#46;</p></span> <span id="abst0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0025">Results</span><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">A total of 450 cases of invasive cutaneous melanoma from 19 participant centres were included&#44; with a predominance of thin melanomas<span class="elsevierStyleHsp" style=""></span>&#8804;<span class="elsevierStyleHsp" style=""></span>1<span class="elsevierStyleHsp" style=""></span>mm thick &#40;54&#46;7&#37;&#41;&#44; mainly located on the posterior trunk &#40;35&#46;2&#37;&#41;&#46; Selective sentinel lymph node biopsy was performed in 40&#46;7&#37; of cases&#46; Most cases of melanoma were suspected by the patient &#40;30&#46;4&#37;&#41;&#44; or his&#47;her dermatologist &#40;29&#46;6&#37;&#41;&#46; Patients received care mainly in public health centers &#40;85&#46;2&#37;&#41;&#44; with tele-dermatology resources being used in 21&#46;6&#37; of the cases&#46;</p></span> <span id="abst0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0030">Conclusions</span><p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">The distribution of the pathological and demographic variables of melanoma cases is consistent with data from former studies&#46; REGESMEL has already recruited patients from 15 Spanish provinces and given its potential representativeness&#44; it renders the Registry as an important tool to address a wide range of research questions&#46;</p></span>"
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        "resumen" => "<span id="abst0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0040">Introducci&#243;n</span><p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">El melanoma presenta una incidencia creciente en Espa&#241;a&#46; Los estadios pron&#243;sticos de los pacientes con melanoma son determinados por diversos factores biol&#243;gicos&#44; como el grosor del tumor&#44; la ulceraci&#243;n o la presencia de met&#225;stasis regionales o a distancia&#46; La Academia Espa&#241;ola de Dermatolog&#237;a y Venereolog&#237;a &#40;AEDV&#41; ha impulsado la creaci&#243;n de un Registro Espa&#241;ol de Melanoma &#40;REGESMEL&#41; con el fin de evaluar otros factores de &#237;ndole individual y relacionados con el Sistema Sanitario que pudieran influir en el pron&#243;stico de los pacientes con melanoma&#46; El objetivo de este art&#237;culo es presentar REGESMEL y proporcionar datos descriptivos b&#225;sicos correspondientes a su primer a&#241;o de funcionamiento&#46;</p></span> <span id="abst0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0045">M&#233;todos</span><p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">REGESMEL es una cohorte prospectiva multic&#233;ntrica de pacientes consecutivos con melanoma cut&#225;neo invasivo que recoge datos demogr&#225;ficos y de estadificaci&#243;n&#44; as&#237; como datos basales individuales y relacionados con la atenci&#243;n sanitaria&#46; Tambi&#233;n registra el tratamiento m&#233;dico y quir&#250;rgico recibido&#46;</p></span> <span id="abst0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0050">Resultados</span><p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">Se incluyeron 450 casos de melanoma cut&#225;neo invasivo procedentes de 19 centros participantes&#44; detectando un predominio de melanomas finos con un grosor<span class="elsevierStyleHsp" style=""></span>&#8804;<span class="elsevierStyleHsp" style=""></span>1<span class="elsevierStyleHsp" style=""></span>mm &#40;54&#44;7&#37;&#41;&#44; localizados principalmente en el tronco posterior &#40;35&#44;2&#37;&#41;&#46; La biopsia selectiva del ganglio centinela se realiz&#243; en el 40&#44;7&#37; los casos&#46; La mayor&#237;a de los casos de melanoma fueron sospechados por el propio paciente &#40;30&#44;4&#37;&#41; o por dermat&#243;logos &#40;29&#44;6&#37;&#41;&#46; Los pacientes recibieron atenci&#243;n principalmente en centros sanitarios p&#250;blicos &#40;85&#44;2&#37;&#41;&#44; emple&#225;ndose alg&#250;n recurso de teledermatolog&#237;a en el 21&#44;6&#37; de los casos&#46;</p></span> <span id="abst0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0055">Conclusiones</span><p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">La distribuci&#243;n de las variables patol&#243;gicas y demogr&#225;ficas de los casos es consistente con los datos de otros estudios&#46; REGESMEL cuenta ya con casos de 15 provincias espa&#241;olas y dada su potencial representatividad convierte el Registro en una herramienta de importancia para abordar una amplia gama de preguntas de investigaci&#243;n&#46;</p></span>"
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                  \t\t\t\t  " align="" 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" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="3" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">Gender</span></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="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Female</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">250&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Male</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">200&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">44&#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"><span class="elsevierStyleBold">Clinical and histological characteristics</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="" 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="" 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="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Breslow tumor thickness&#44; in mm&#59; median &#40;p25-p75&#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;86 &#40;0&#46;5-2&#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="" 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" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="3" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">T category of TNM</span></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="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>pTx&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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;9&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="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>pT1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">246&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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;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"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>pT2&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">85&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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;9&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="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>pT3&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">12&#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"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>pT4&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">11&#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"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>Missing&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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;1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="3" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Anatomical location</span></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="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>Posterior trunk&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">158&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">35&#46;2&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="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>Anterior trunk&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">12&#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"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>Arm&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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&#46;2&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="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>Leg&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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&#46;2&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="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>Face&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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&#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"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>Thigh&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">30&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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;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"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>Scalp&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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&#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"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>Foot&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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&#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"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>Forearm&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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;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"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>Ear&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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;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"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>Neck&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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;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"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>Hand&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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;9&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="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>Buttock&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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;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"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>Genital&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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;2&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="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>Missing&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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;2&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="3" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Baseline patient status &#40;ECOG&#41;</span></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="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>0&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">359&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">79&#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"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>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">50&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">11&#46;1&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="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>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">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">1&#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"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>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&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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;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"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>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">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">0&#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"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>Unknown&#47;Missing&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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&#46;6&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="3" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">Diagnostic process</span></td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="3" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Selective sentinel lymph node biopsy</span></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="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>Yes&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">183&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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;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"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>No&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">237&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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;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"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>Unknown&#47;Missing&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">30&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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;7&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="3" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Type of center for definitive diagnosis</span></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="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>Public center&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">356&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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;2&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="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>Agreed center&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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;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"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>Private center&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">69&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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;1&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="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>Unknown&#47;Missing&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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;2&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="3" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Use of teledermatology</span></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="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>Yes&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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;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"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>No&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">322&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">71&#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"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>Unknown&#47;Missing&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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;9&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="3" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Person who established initial suspicion</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>The patient themselves&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">137&nbsp;\t\t\t\t\t\t\n
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Vol. 115. Núm. 7.
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Original article
Acceso a texto completo
Melanoma Registry of the Spanish Academy of Dermatology and Venereology (REGESMEL): Description and Data in its First Year of Operation
Registro de Melanoma de la Academia Española de Dermatología y Venereología (REGESMEL): descripción y datos en el primer año de funcionamiento
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A. Tejera-Vaquerizoa, A. Boadab, S. Puigc,d, E. Nagoree, R. Fernández-de-Misaf, L. Ferrándizg, A. Conde-Taboadah, E. Castroi, N.A. Richarzb, S. Paradelaj, Á. Llambrichk, I. Salgüerol, A. Diagom, E. Samaniegon, Á. Flórezo, S. Segurap, C. Maldonado-Seralq, I.M. Coronel-Pérezr, A. Tomás-Velázquezs, P. Rodríguez-Jiménezt,u..., A. Mayorv, I. García-Dovalw,x, M. Grau-Pérezw,y,
Autor para correspondencia
merce.grau101@alu.ulpgc.es

Corresponding author.
,
REGESMEL group Ver más
a Unidad de Oncología Cutánea, Hospital San Juan de Dios, Córdoba, Spain
b Servicio de Dermatología, Hospital Universitari Germans Trias i Pujol, Institut d’Investigació Germans Trias i Pujol, Universitat Autònoma de Barcelona, Badalona, Spain
c Servicio de Dermatología, Hospital Clínic de Barcelona, IDIBAPS, Universidad de Barcelona, Barcelona, Spain
d Centro de investigación biomédica en red de enfermedades raras, CIBERER, Barcelona, Spain
e Servicio de Dermatología, Instituto Valenciano de Oncología, Valencia, Spain
f Servicio de Dermatología, Hospital Universitario Nuestra Señora de Candelaria, Santa Cruz de Tenerife, Spain
g Unidad de Melanoma, Servicio de Dermatología médico-quirúrgico, Hospital Universitario Virgen Macarena, Sevilla, Spain
h Servicio de Dermatología, Hospital Clínico San Carlos, Madrid, Spain
i Servicio de Dermatología, Hospital Universitario de Gran Canaria Doctor Negrín, Las Palmas de Gran Canaria, Spain
j Servicio de Dermatología, Complexo Hospitalario A Coruña, A Coruña, Spain
k Servicio de Dermatología, Hospital Universitario Son Llàtzer, Palma de Mallorca, Spain
l Servicio de Dermatología, Hospital Universitario Puerta de Hierro Majadahonda, Madrid, Spain
m Servicio de Dermatología, Hospital Universitario Miguel Servet, Zaragoza, Spain
n Servicio de Dermatología, Complejo Asistencial Universitario de León, León, Spain
o Servicio de Dermatología, Complejo Hospitalario Universitario de Pontevedra, Grupo de Investigación DIPO, Instituto de Investigación Sanitaria Galicia Sur, SERGAS-UVIGO, Pontevedra, Spain
p Servicio de Dermatología, Hospital del Mar de Barcelona, Barcelona, Spain
q Servicio de Dermatología, Hospital Universitario Central de Asturias, Oviedo, Spain
r Servicio de Dermatología, Hospital Universitario Virgen de Valme de Sevilla, Sevilla, Spain
s Servicio de Dermatología, Clínica Universidad de Navarra, Madrid, Spain
t Servicio de Dermatología, Hospital Universitario La Princesa, Madrid, Spain
u Servicio de Dermatología, Hospital Ruber Internacional, Madrid, Spain
v Servicio de Dermatología, Hospital Universitario La Paz, Madrid, Spain
w Unidad de Investigación, Academia Española de Dermatología y Venereología, Madrid, Spain
x Servicio de Dermatología, Complexo Hospitalario Universitario de Vigo, Vigo, Spain
y Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain
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Table 1. Characteristics of REGESMEL patients within its first year of operation.
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Abstract
Introduction

The incidence of melanoma is rising in Spain. The prognostic stages of patients with melanoma are determined by various biological factors, such as tumor thickness, ulceration, or the presence of regional or distant metastases. The Spanish Academy of Dermatology and Venereology (AEDV) has encouraged the creation of a Spanish Melanoma Registry (REGESMEL) to evaluate other individual and health system-related factors that may impact the prognosis of patients with melanoma. The aim of this article is to introduce REGESMEL and provide basic descriptive data for its first year of operation.

Methods

REGESMEL is a prospective, multicentre cohort of consecutive patients with invasive cutaneous melanoma that collects demographic and staging data as well as individual and healthcare-related baseline data. It also records the medical and surgical treatment received by patients.

Results

A total of 450 cases of invasive cutaneous melanoma from 19 participant centres were included, with a predominance of thin melanomas1mm thick (54.7%), mainly located on the posterior trunk (35.2%). Selective sentinel lymph node biopsy was performed in 40.7% of cases. Most cases of melanoma were suspected by the patient (30.4%), or his/her dermatologist (29.6%). Patients received care mainly in public health centers (85.2%), with tele-dermatology resources being used in 21.6% of the cases.

Conclusions

The distribution of the pathological and demographic variables of melanoma cases is consistent with data from former studies. REGESMEL has already recruited patients from 15 Spanish provinces and given its potential representativeness, it renders the Registry as an important tool to address a wide range of research questions.

Keywords:
Melanoma
Epidemiology
Prognosis
Registries
Sentinel lymph node biopsy
Spatial analysis
Resumen
Introducción

El melanoma presenta una incidencia creciente en España. Los estadios pronósticos de los pacientes con melanoma son determinados por diversos factores biológicos, como el grosor del tumor, la ulceración o la presencia de metástasis regionales o a distancia. La Academia Española de Dermatología y Venereología (AEDV) ha impulsado la creación de un Registro Español de Melanoma (REGESMEL) con el fin de evaluar otros factores de índole individual y relacionados con el Sistema Sanitario que pudieran influir en el pronóstico de los pacientes con melanoma. El objetivo de este artículo es presentar REGESMEL y proporcionar datos descriptivos básicos correspondientes a su primer año de funcionamiento.

Métodos

REGESMEL es una cohorte prospectiva multicéntrica de pacientes consecutivos con melanoma cutáneo invasivo que recoge datos demográficos y de estadificación, así como datos basales individuales y relacionados con la atención sanitaria. También registra el tratamiento médico y quirúrgico recibido.

Resultados

Se incluyeron 450 casos de melanoma cutáneo invasivo procedentes de 19 centros participantes, detectando un predominio de melanomas finos con un grosor1mm (54,7%), localizados principalmente en el tronco posterior (35,2%). La biopsia selectiva del ganglio centinela se realizó en el 40,7% los casos. La mayoría de los casos de melanoma fueron sospechados por el propio paciente (30,4%) o por dermatólogos (29,6%). Los pacientes recibieron atención principalmente en centros sanitarios públicos (85,2%), empleándose algún recurso de teledermatología en el 21,6% de los casos.

Conclusiones

La distribución de las variables patológicas y demográficas de los casos es consistente con los datos de otros estudios. REGESMEL cuenta ya con casos de 15 provincias españolas y dada su potencial representatividad convierte el Registro en una herramienta de importancia para abordar una amplia gama de preguntas de investigación.

Palabras clave:
Melanoma
Epidemiología
Pronóstico
Registros
Biopsia selectiva del ganglio centinela
Análisis espacial
Texto completo
Introduction

According to a meta-analysis conducted over the past decade, the incidence rate of cutaneous melanoma in Spain is nearly 8.7 cases per 100,000 person-years,1 which is approximately 4000 new cases each year. Recently, a possible increase in this incidence rate has been reported,2 even exceeding 2% annually.3 The mortality rate would be around 2.2 cases per 100,000 person-years.1

Currently, the prognosis of melanoma is based on variables included in the 8th edition of the American Joint Committee on Cancer (AJCC) melanoma staging,4 which are summarized in tumor thickness and ulceration for the earliest stages (stages I and II) and locoregional lymphatic involvement (lymphadenopathies and/or satellitosis), or distant metastasis for stages III and IV, each with an expected average survival.5 However, there is variability in survival within each stage, suggesting the influence of other less studied factors, in addition to the biological characteristics of the tumor. In Sweden, an impact of socioeconomic factors in this regard has been reported,6 but the possible influence of these factors in Spain is unknown to this date. Furthermore, assessing whether there are individual-related factors (demographic, socioeconomic, clinical) as well as factors related to health care in Spain that may imply diagnostic delays could provide highly relevant information for improving the survival of melanoma-diagnosed patients in the future, by identifying vulnerable populations and potential areas for improvement in health care.

To address these issues, it is essential to have a melanoma patient registry that is as representative as possible both geographically and in terms of different types of health care. The Spanish Academy of Dermatology and Venereology (AEDV) has spearheaded the creation of such a registry, known as the Spanish Melanoma Registry (REGESMEL).

The aim of this article is to present REGESMEL, and provide basic descriptive data in its first year of operation.

Materials and methodsDesign

This is a prospective cohort that collects pseudonymized data of consecutive patients with new diagnoses of invasive primary cutaneous melanoma. Melanomas in situ, mucosal melanomas (except for those located in the genital area that do not affect the mucosa), and melanomas of unknown origin are excluded from the study.

Measurement and variables

Study data are collected and managed using the Research Electronic Data Capture (REDCap) electronic data capture tools hosted at the AEDV.7 REDCap is a secure web-based software platform designed to support data capture for research studies.

The study was approved by Hospital Universitario Reina Sofía Clinical Research and Ethics Committee, Córdoba, Spain (reference No.: 5345). The study includes an early visit and further follow-up visits in which data are collected in 4 blocks: a) Inclusion, covering demographic data (including place of residence), skin phototype, primary tumor details, and data on initial staging; b) Baseline and detection status describing the patients’ history, their personal situation, and aspects related to lesion diagnosis by the patient or the health care system; c) Surgical procedure performed; d) Medical treatment, without specifying doses or intervals.

During follow-up visits, tests performed, information on staging, and the patient's vital status are collected. A section on second or subsequent melanomas is also included, detailing their staging (see Appendix A of the supplementary data).

For this study, collected data have been compiled into indices based on the nature of the variable (mean and standard deviation, frequencies, medians).

REGESMEL incorporates information on the patients’ approximate residence obtained through the Cartociudad portal of the Government of Spain,8 from which the patients’ census residence is obtained. This information will allow drawing information on the patients’ socioeconomic level (based on the Spanish deprivation index developed by the Spanish Society of Epidemiology9) and type of residential environment (urban or rural) using spatial analysis techniques. The census record, province, and autonomous community of residence will be the units of analysis.

For this initial work, basic descriptive data include a few individual-related factors (such as age, sex, functional status, province of residence), tumor biology-related factors (Breslow tumor thickness, stage, and location), and finally health care-related factors (such as the type of health center involved, the person who established the level of suspicion, the use of teledermatology tools, and whether selective sentinel lymph node biopsy (SLNB) was performed).

Results

The Registry began to include patients on June 1st, 2022, with the progressive inclusion of different participant centers. At the time of analysis, September 30th, 2023, the registry included a total of 450 patients from 19 hospital centers across Spain (see table 1). Regarding gender distribution, 250 patients (55.6%) were women and 200 (44.4%) men, with a mean age of 62.7 (SD, 15.8). Figure 1 shows the distribution by provinces, with Barcelona and Madrid contributing the highest number of cases (25.3% and 23%, respectively).

Table 1.

Characteristics of REGESMEL patients within its first year of operation.

Variable  %col 
Patients  450  100 
Age at diagnosis, in years; mean (SD)  62.7 (15.8)   
Gender
Female  250  55.6 
Male  200  44.4 
Clinical and histological characteristics     
Breslow tumor thickness, in mm; median (p25-p75)  0.86 (0.5-2)   
T category of TNM
pTx  0.9 
pT1  246  54.7 
pT2  85  18.9 
pT3  57  12.7 
pT4  53  11.8 
Missing  1.1 
Anatomical location
Posterior trunk  158  35.2 
Anterior trunk  54  12.0 
Arm  46  10.2 
Leg  46  10.2 
Face  34  7.6 
Thigh  30  6.7 
Scalp  21  4.7 
Foot  21  4.7 
Forearm  17  3.8 
Ear  1.8 
Neck  1.6 
Hand  0.9 
Buttock  0.4 
Genital  0.2 
Missing  0.2 
Baseline patient status (ECOG)
359  79.8 
50  11.1 
1.8 
1.3 
0.4 
Unknown/Missing  25  5.6 
Diagnostic process
Selective sentinel lymph node biopsy
Yes  183  40.7 
No  237  52.7 
Unknown/Missing  30  6.7 
Type of center for definitive diagnosis
Public center  356  83.2 
Agreed center  0.5 
Private center  69  16.1 
Unknown/Missing  0.2 
Use of teledermatology
Yes  97  21.6 
No  322  71.6 
Unknown/Missing  31  6.9 
Person who established initial suspicion
The patient themselves  137  30.4 
Dermatologist  133  29.6 
Cohabitant  53  11.8 
General practitioner  43  9.6 
Non-cohabitant friend/family  27  6.0 
Other patient's doctor  17  3.8 
Others  10  2.2 
Unknown/Missing  30  6.7 

SD, standard deviation.

Figure 1.

Distribution of cases by provinces.

(0.14MB).

Regarding anatomoclinical data, thin melanomas ≤ 1mm constituted the majority group (54.7%) (table 1). The most frequent locations were posterior trunk (35.2%), anterior trunk (12%), arm (10.2%), and leg (10.2%).

Regarding health care-related factors, 83.2% of patients received treatment at a public center, 16.1% at a private center, and 0.5% at a public-private partnership center, with access covered by the public health care system. Additionally, some form of teledermatology mechanism was used in 21.6% of cases.

A total of 40.7% out of the total number of patients included underwent SLNB, 173 of patients (67.6%) with ≥ pT1b and 10 patients (5%) with pT1a. Most cases had good functional status (79.8% had ECOG 0 functional status; and 11%, ECOG 1).

Regarding the person who suspected diagnosis, in one-third of cases (30.4%), it was the patient themselves, while in another third, the dermatologist (29.6%) did so followed by cohabitants (11.8%) or the general practitioner (9.6%).

Discussion

The REGESMEL registry, promoted by the AEDV, is a novel project with different objectives from the previous melanoma registry developed by the AEDV.10

In its first year of operation, REGESMEL has been well received among Spanish academic dermatologists with participation from 19 centers and the inclusion of more than 400 patients. Considering the estimated incidence rate in Spain (between 3600 and 4700 new cases each year1), the inclusion of almost 10% of cases within the first year reflects good prospects for achieving significant population representativeness, despite 30 provinces still lacking centers linked to the project.

To date, the disease is more prevalent among women, representing 55.6% of cases, very similar to previous data in our country,10 which contrasts with data from southern Europe where more cases are diagnosed in men.11

Regarding the Breslow tumor thickness, we should mention that 54.7% of all melanomas reported are thin melanomas ≤ 1mm. This information updated to 2023 reflects a constant trend of increasingly thinner lesions diagnosed vs the 46.7% reported from 1997 through 2001, the 50.8% reported from 2002 through 2006, and the 53.3% described form 2007 through 2011.10 This increase in thin lesions is a trend observed across Europe.12

The most common location of melanomas is the posterior trunk, accounting for 35.2% of cases, and together with the anterior trunk (12%), they account for 47.2%. On the other hand, locations in arms, legs, or thighs comprise approximately 10% of cases or even less. Head and neck areas account for <10% in each of their sublocations, such as face, scalp, ear, and neck. This data is relevant for several reasons. Firstly, it can help support etiopathogenic hypotheses related to intermittent exposure to UV radiation vs chronic exposure in the head and neck region. Moreover, it has significant implications for education and screening practices, since nearly half of the cases are diagnosed on the trunk, suggesting the importance of recommending examination of the back and anterior trunk, according to each patient's risk profile.13

Most patients (83.2%) received a definitive diagnosis at public health care centers, while in private centers, this rate was 16.1% (dropping to 0.5% in centers with agreements). This suggests that the presence of private centers in REGESMEL would be represented based on the reality of Spain14 since, according to data from the Spanish National Institute of Statistics, 16.3% of the population has private health care insurance.15

A striking data is that in 21.6% of registered melanoma cases, some form of teledermatology tool was used in their management. This reflects the current increasing use of various teledermatology tools in skin cancer diagnosis and makes the registry a highly interesting element in the coming future to evaluate different variables related to teledermatology in Spain.16

In the Registry, 30.4% of cases were initially suspected by the patients themselves, followed by 29.6% of cases which were suspected by dermatologists. These data are different from those published back in 2016 by Avilés-Izquierdo et al.17 (53% and 20%, respectively). Recent studies on self-detection of cutaneous cancer by patients provide similar results (50% self-detection), also highlighting the importance of the patients’ environment in suspicion of cutaneous tumors.18,19

The SLNB was performed in 40.7% of all reported cases. Clinical practice guidelines recommend discussing and offering SLNB to patients with melanoma ≥ pT1b.20,21 These melanomas encompass 46.7% of all reported cases (data not shown), which means that the percentage of SLNB performance in Spain seems to be higher than that reported in other countries such as Australia or the United States.22,23

The incorporation of geographical data into cancer studies is becoming increasingly important24 and can provide relevant information in the field of melanoma.25,26 REGESMEL allows analyzing geographical data at census tract level and already has active recruitment in 15 Spanish provinces. Several centers from other provinces are about to start their participation, and efforts will be made to continue adding other areas within Spain.

In conclusion, some preliminary data from REGESMEL within its first year of operation have been presented. The distribution of pathological and demographic variables shown is consistent with data provided by other studies. Additionally, the number of included patients and their potential representativeness, estimated in relation to the total number of diagnosed melanoma patients in Spain, makes the registry an important tool for addressing a wide range of research questions. These are not only limited to those related to melanoma biology and its management but also involve various individual patient factors and the health care system per se in relation to the prognosis of this type of tumor. Studying these factors could help identify vulnerable population groups in Spain and create a window of opportunity to implement public health measures aimed at strengthening areas where intervention is most needed.

As a result, REGESMEL has become a valuable research tool available to AEDV academics who want to collaborate through their work centers or propose their own research projects.

Funding

REGESMEL has received untied support for its implementation from ISDIN S.A. (Barcelona, Spain).

Conflicts of interest

Susana Puig has been a speaker for: Almirall, Cantabria, Eucerin, ISDIN, La Roche Posay, Novartis, Pierre Fabre, Roche, Sanofi, Sunpharma; consultant or advisory board member for: Almirall, BMS, Biofrontera, MSD, ISDIN, La Roche Posay, Novartis, Polychem, Sunpharma. GRANTS & RESEARCH SUPPORT: Almirall, Amgen, AMLO, BMS, Biofrontera, Canfield, Cantabria, Castle Bioscience, Eucerin, Fotofinder, GSK, ISDIN, La Roche Posay, Leo, Mavig, Novartis, Polychem, Roche, Edposo/partner: Almirall, Amgen, BMS, Canfield, Fotofinder, ISDIN, La Roche Posay, Mavig, Nevisense, Novartis, Pierre Fabre, Roche. Others: Abbie (educational activities), Lilly (educational activities), co-founder of Diagnosis Dermatologica sl and Athena Tech, investor of Dermavision.

The remaining authors declared no conflicts of interest whatsoever.

Appendix 1

REGESMEL group members: Marcial Álvarez-Salafranca (Hospital Universitario Miguel Servet, Zaragoza, Spain), María Navedo de las Heras (Complejo Asistencial Universitario de León, León, Spain), Martina Espasandín Arias (Complejo Hospitalario Universitario de Pontevedra, Spain), Marta Bertolín-Colilla (Hospital del Mar, Barcelona, Spain), Lula María Nieto Benito (Clínica Universidad de Navarra, Madrid, Spain) María Huerta Brogeras (Clínica Universidad de Navarra, Madrid, Spain).

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The authorship of the members of the REGESMEL group are listed in Appendix 1.

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