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Incidence of Melanoma in Catalonia, Spain, Is Rapidly Increasing in the Elderly Population. A Multicentric Cohort Study.

Sebastian PodlipnikCristina CarreraAram BoadaNina Anika RicharzJoaquim MarcovalJosep Ramón FerreresDomingo BodetRosa María MartíSonia SeguraMireia SabatJoan DalmauMonica Quintana-CodinaAntoni AzonNeus CurcóManel FormigonMaría Rosa Olivella-GarcésPedro ZaballosJoaquim SolaLoida GalvanyCarola Baliu-PiquéMarta AlegrePaola PasqualiJosep MalvehySusana Puignull On Behalf Of The Network Of Melanoma Centres Of Catalonia
Published in: Journal of clinical medicine (2020)
The incidence of melanoma has been increasing worldwide during recent decades. The objective of the study was to analyse the trends in incidence for in situ and invasive melanoma in the Spanish region of Catalonia during the period of 2008-2017. We designed a cross-sectional study with an age-period-cohort analysis of melanoma patient data from the Network of Melanoma Centres in Catalonia. Our database covered a population of over seven million and included a total of 8626 patients with incident melanoma. The main outcome measures were crude and age-standardised incidence rates to the European 2013 standard population. Joinpoint regression models were used to evaluate the population trends. We observed an increase in the age-standardised incidence rate (per 100,000 population) of all melanoma subtypes from 11.56 in 2008 to 13.78 in 2017 with an average annual percent change (AAPC) of 3.5%. This incidence increase was seen exclusively in the older population. Moreover, the stratified analysis showed a statistically significant increase in the age-standardised incidence rate for invasive (AAPC 2.1%) and in situ melanoma (AAPC 6.5%). In conclusion, the incidence of melanoma has continued to increase in the elderly population over recent decades, with a rapidly increasing trend of in situ melanomas and the lentigo maligna subtype.
Keyphrases
  • risk factors
  • skin cancer
  • cardiovascular disease
  • emergency department
  • machine learning
  • electronic health record
  • adverse drug
  • big data
  • artificial intelligence
  • drug induced