A risk prediction model for development of subsequent primary melanoma in a population-based cohort

Source: MDLinx, November 2019

Researchers created a risk prediction model based on the demographic, phenotypic, histopathologic, sun exposure and genomic risk factors for subsequent primary melanoma to guide skin surveillance. Data for 2,613 melanomas from 1,266 patients recruited to the population-based Genes, Environment and Melanoma study in New South Wales, Australia using Cox regression frailty models were analyzed, with a median of 14 years follow-up through the cancer registry. The risk of a subsequent melanoma for the highest vs lowest quintile of the risk score was 4.75 times higher.

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