Research Letter
Trends in melanoma incidence at Hospital Italiano de Buenos Aires, 2007–2016
Adriana Raquel Rinflercha,b,
, Victoria Ines Volonteric, María Cecilia Roudeb, Laura Vanina Pagottod, Melina Pole, Luis Daniel Mazzuoccolob
Corresponding author
a Instituto de Biología Subtropical CONICET, Universidad Nacional de Misiones, Misiones, Argentina
b Servicio de Dermatología, Hospital Italiano de Buenos Aires, Buenos Aires, Argentina
c Servicio Anatomía Patológica del Hospital Italiano de Buenos Aires, Buenos Aires, Argentina
d Departamento de Investigación, Hospital Italiano de Buenos Aires, Buenos Aires, Argentina
e Servicio Anatomía Patológica, Hospital Italiano de Buenos Aires, Buenos Aires, Argentina
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class="elsevierStyleSup">d</span>" "identificador" => "aff0020" ] ] ] 4 => array:3 [ "nombre" => "Melina" "apellidos" => "Pol" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">e</span>" "identificador" => "aff0025" ] ] ] 5 => array:3 [ "nombre" => "Luis Daniel" "apellidos" => "Mazzuoccolo" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] ] ] ] "afiliaciones" => array:5 [ 0 => array:3 [ "entidad" => "Instituto de Biología Subtropical CONICET, Universidad Nacional de Misiones, Misiones, Argentina" "etiqueta" => "a" "identificador" => "aff0005" ] 1 => array:3 [ "entidad" => "Servicio de Dermatología, Hospital Italiano de Buenos Aires, Buenos Aires, Argentina" "etiqueta" => "b" "identificador" => "aff0010" ] 2 => array:3 [ "entidad" => "Servicio Anatomía Patológica del Hospital Italiano de Buenos Aires, Buenos Aires, Argentina" "etiqueta" => "c" "identificador" => "aff0015" ] 3 => array:3 [ "entidad" => "Departamento de Investigación, Hospital Italiano de Buenos Aires, Buenos Aires, Argentina" "etiqueta" => "d" "identificador" => "aff0020" ] 4 => array:3 [ "entidad" => "Servicio Anatomía Patológica, Hospital Italiano de Buenos Aires, Buenos Aires, Argentina" "etiqueta" => "e" "identificador" => "aff0025" ] ] "correspondencia" => array:1 [ 0 => array:3 [ "identificador" => "cor0005" "etiqueta" => "⁎" "correspondencia" => "Corresponding author." ] ] ] ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:8 [ "identificador" => "fig0005" "etiqueta" => "Figure 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 2744 "Ancho" => 1681 "Tamanyo" => 304543 ] ] "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at0005" "detalle" => "Figure " "rol" => "short" ] ] "descripcion" => array:1 [ "en" => "<p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">Gender and age distribution of (A), Italian Hospital Medical Care Program and (B), Buenos Aires, population according to 2010 national demographic census. Male (red) Female (blue). The age of the population is grouped into periods of four years. The quantities of people of each gender are expressed in percentage.</p>" ] ] ] "textoCompleto" => "<span class="elsevierStyleSections"><p id="par0005" class="elsevierStylePara elsevierViewall">There are three types of melanomas: uveal, mucosal, and cutaneous. Cutaneous melanoma is the most common subtype, and it causes most skin cancer deaths.<a class="elsevierStyleCrossRef" href="#bib0005"><span class="elsevierStyleSup">1</span></a> Despite the fact that the risk factors for melanoma are known today and there are social prevention and advertising campaigns about skincare, disease rates have increased worldwide in recent years.<a class="elsevierStyleCrossRef" href="#bib0010"><span class="elsevierStyleSup">2</span></a> The demographic distribution of melanoma incidence is directly related to environmental and genetic factors such as geographic sun intensity, and skin phototypes of the population. Immunosuppression and numerous episodes of sunburn increase the risk even more.<a class="elsevierStyleCrossRef" href="#bib0015"><span class="elsevierStyleSup">3</span></a></p><p id="par0010" class="elsevierStylePara elsevierViewall">The Hospital Italiano de Buenos Aires is a private health care institution where approximately 300,000 people from Buenos Aires City (BA) are treated annually. Half of them are members of the prepaid Plan de Salud del Hospital Italiano de Buenos Aires (Medical Care Program – HMCP).<a class="elsevierStyleCrossRef" href="#bib0020"><span class="elsevierStyleSup">4</span></a> As little is known about melanoma incidence either in the BA or the Argentinean populations, we sought to explore that incidence in our HMCP population.</p><p id="par0015" class="elsevierStylePara elsevierViewall">The Hospital Italiano de Buenos Aires Clinical Research and Bioethics Committee approved this study.</p><p id="par0020" class="elsevierStylePara elsevierViewall">Rates were reported with the corresponding 95% Confidence Intervals (CIs). The differences were considered significant when the p-value was less than 0.05; STATA software (Stata Corp LLC, TX; version 14.2) was used for calculations.</p><p id="par0025" class="elsevierStylePara elsevierViewall">A retrospective cohort study was carried out, including a population with reports of invasive cutaneous melanoma in our hospital between January 1, 2007, through December 31, 2016. We excluded those with just in situ melanoma or a primary report of metastasis of melanoma. The study population consisted of 163,100 members of the HMCP.</p><p id="par0030" class="elsevierStylePara elsevierViewall">We found 253 cutaneous malignant melanoma (CMM) cases, witch 124 were females (49.0%). The median age at diagnosis was 69 years (IQR 58–78), and the average age at diagnosis was 66.3 years (SD=15.3). This result is in line with the higher incidence of CMM, as well as with other types of cancer, in older people. The average age of diagnosis for CMM worldwide is 57, while our data show a mean age of 66.<a class="elsevierStyleCrossRef" href="#bib0025"><span class="elsevierStyleSup">5</span></a></p><p id="par0035" class="elsevierStylePara elsevierViewall">The HCMP crude CMM incidence density rate (IDR) obtained was 19.5 per 100,000 person-years (95% CI 16.3–21.0). The adjusted IDR for the BA population was 13.4 per 100,000 person-years (95% CI 11.7–15.2). According to 2010 national demographic census data, BA has a population of 2,890,151 inhabitants, of which 30% are <25 years and 21.7% are >60 years. The distribution over age and gender strata are similar to the HMCP population (<a class="elsevierStyleCrossRef" href="#fig0005">Fig. 1</a> a and b). The adjusted IDR for CMM for the population in Argentina is 10.2 per 100,000 person-years (95% CI 8.7–11.7), almost half of the crude HCMP IDR. This adjustment-based discrepancy can be attributed to the difference in the age distribution within the population under study, in which 32% of the members are over the age of 60 compared to the population of Argentina, which only has 10.2% belonging to the same age group.</p><elsevierMultimedia ident="fig0005"></elsevierMultimedia><p id="par0040" class="elsevierStylePara elsevierViewall">Prevalence was estimated considering the number of live cases up to July 1, 2016, divided by the number of active HCMP members at that time. The prevalent cases were 193 out of 146,524 HCMP members with a prevalence rate of 13.2 per 100,000 people (95% CI 11.4–15.2).</p><p id="par0045" class="elsevierStylePara elsevierViewall">When we analyze rates by gender, the literature says that in young people the incidence of CMM is higher in women. It is inverted in older people, with the higher incidence being in men.<a class="elsevierStyleCrossRef" href="#bib0030"><span class="elsevierStyleSup">6</span></a> In our population, we found a similar situation, HCMP gender-specific crude IDRs were 23.6 per 100,000 person-years (95% CI 18.7–26.8) for males and 15.9 per 100,000 person-years (95% CI 13.1–18.8) for females. The adjusted IDR for the BA population was 16.3 per 100,000 person-years (95% CI 12.4–20.2) and 12.3 per 100,000 person-years (95% CI 9.9–14.6), respectively (<a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>).</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><p id="par0050" class="elsevierStylePara elsevierViewall">The incidence rate ratio (IRR) of the crude IDR for males compared to females was 1.5 (95% CI 1.2–1.9; p = 0.0017). This data suggests a higher probability of developing this type of tumor in men. This is probably due to fewer prevention strategies since, in our country, men were the ones primarily exposed to the sun for work reasons in past decades. In the meantime, the population of women has started increasing in this regard due to tanning beds and intermittent sun exposure for recreational or beauty purposes.<a class="elsevierStyleCrossRefs" href="#bib0010"><span class="elsevierStyleSup">2,7</span></a></p><p id="par0055" class="elsevierStylePara elsevierViewall">On a worldwide level, we find a wide range of rates for CMM. The annual incidence ranges from 0.3 and 0.2 per 100,000 person-years in Asia and India, respectively, up to 55 per 100,000 person-years in New Zealand, a position held by Australia not long ago, which has recently dropped to 54 per 100,000 person-years.<a class="elsevierStyleCrossRefs" href="#bib0035"><span class="elsevierStyleSup">7,8</span></a> The most recent publications are from Germany and Canada, where the crude IDR observed for the latter were 12.3 cases per 100,000 person-years and the ASIR (age-standardized incidence rate) for the population was 9.6 cases per 100,000 person-years. According to these publications, our adjusted IDR for CMM is similar to the German and Canadian populations.<a class="elsevierStyleCrossRef" href="#bib0045"><span class="elsevierStyleSup">9</span></a> In South America, Brazil and Colombia have recently published data on this matter. In 2016, Brazil had an estimated annual melanoma incidence of 5.8 cases per 100,000 person-years.<a class="elsevierStyleCrossRefs" href="#bib0030"><span class="elsevierStyleSup">6,8,10</span></a> Colombia had an ASIR of 1.7 per 100,000 person-years. Both Brazil and Colombia have a greater proportion of populations of African descent compared to Argentina. This could explain the differences in the rates of the CMM.</p><p id="par0060" class="elsevierStylePara elsevierViewall">Since this is a review, we had several limitations. The validity of this study could be increased with the addition of information from other institutions from BA and representative regions nationwide to confirm the results and achieve a more accurate knowledge of melanoma epidemiology in Argentina. However, this is the first study of a large cohort of patients in Argentina that estimated the incidence of melanoma, and these results are similar to those published for other similar geographical areas.</p><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0010">Financial support</span><p id="par0065" class="elsevierStylePara elsevierViewall">None declared.</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">Authors’ contributions</span><p id="par0070" class="elsevierStylePara elsevierViewall">Adriana Raquel Rinflerch: Conception and design of the study, analysis, and interpretation of data; drafting the article and revising it critically for important intellectual content; final approval of the version to be submitted.</p><p id="par0075" class="elsevierStylePara elsevierViewall">Victoria Ines Volonteri: Conception and design of the study; draft the article and revising it critically for important intellectual content; final approval of the version to be submitted.</p><p id="par0080" class="elsevierStylePara elsevierViewall">María Cecilia Roude: Acquisition of data; draft the article and revising it critically for important intellectual content; final approval of the version to be submitted.</p><p id="par0085" class="elsevierStylePara elsevierViewall">Vanina Laura Pagotto: Analysis and interpretation of data; draft the article and revising it critically for important intellectual content; final approval of the version to be submitted.</p><p id="par0090" class="elsevierStylePara elsevierViewall">Melina Pol: Acquisition of data; draft the article and revising it critically for important intellectual content; final approval of the version to be submitted.</p><p id="par0095" class="elsevierStylePara elsevierViewall">Luis Daniel Mazzuoccolo: The conception and design of the study.: draft the article and revising it critically for important intellectual content; final approval of the version to be submitted.</p></span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0020">Conflicts of interest</span><p id="par0100" class="elsevierStylePara elsevierViewall">None declared.</p></span><span id="sec1015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect1020">Acknowledgement</span><p id="par1100" class="elsevierStylePara elsevierViewall">This work was funded by grants from the <span class="elsevierStyleGrantSponsor" id="gs1">National Cancer Institute</span> (<span class="elsevierStyleGrantNumber" refid="gs1">INC 2018</span>), and the <span class="elsevierStyleGrantSponsor" id="gs2">HIBA Dermatology Service</span>.</p></span></span>" "textoCompletoSecciones" => array:1 [ "secciones" => array:5 [ 0 => array:2 [ "identificador" => "sec0005" "titulo" => "Financial support" ] 1 => array:2 [ "identificador" => "sec0010" "titulo" => "Authors’ contributions" ] 2 => array:2 [ "identificador" => "sec0015" "titulo" => "Conflicts of interest" ] 3 => array:2 [ "identificador" => "sec1015" "titulo" => "Acknowledgement" ] 4 => array:1 [ "titulo" => "References" ] ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "fechaRecibido" => "2020-08-12" "fechaAceptado" => "2020-10-29" "NotaPie" => array:1 [ 0 => array:2 [ "etiqueta" => "☆" "nota" => "<p class="elsevierStyleNotepara" id="npar0010">Study conducted at the Hospital Italiano de Buenos Aires, Buenos Aires, Argentina.</p>" ] ] "multimedia" => array:2 [ 0 => array:8 [ "identificador" => "fig0005" "etiqueta" => "Figure 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 2744 "Ancho" => 1681 "Tamanyo" => 304543 ] ] "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at0005" "detalle" => "Figure " "rol" => "short" ] ] "descripcion" => array:1 [ "en" => "<p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">Gender and age distribution of (A), Italian Hospital Medical Care Program and (B), Buenos Aires, population according to 2010 national demographic census. Male (red) Female (blue). The age of the population is grouped into periods of four years. The quantities of people of each gender are expressed in percentage.</p>" ] ] 1 => array:8 [ "identificador" => "tbl0005" "etiqueta" => "Table 1" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at0010" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:1 [ "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Crude IDR \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Adjusted IDR to Buenos Aires \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Adjusted IDR to Argentina \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Adjusted IDR to WHO \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">All CMM</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">19.5 (16.3–21.0) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">13.4 (11.6–15.2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">10.2 (8.7–11.7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">9.6 (8.1–11.1) \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">Male CMM</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">23.6 (18.7–26.8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">16.3 (12.4–20.2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">13.2 (8.6–17.7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">6.5 (4.3–8.8) \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">Female CMM</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">15.9 (13.1–18.8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">12.3 (9.9–14.6) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">9.6 (7.6–11.5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">4.4 (3.5–5.4) \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab2810846.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">Crude and adjusted IDR. 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