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Dataset Information

Development and external validation study of a melanoma risk prediction model incorporating clinically assessed naevi and solar lentigines.


ABSTRACT:

Background

Melanoma risk prediction models could be useful for matching preventive interventions to patients' risk.

Objectives

To develop and validate a model for incident first-primary cutaneous melanoma using clinically assessed risk factors.

Methods

We used unconditional logistic regression with backward selection from the Australian Melanoma Family Study (461 cases and 329 controls) in which age, sex and city of recruitment were kept in each step, and we externally validated it using the Leeds Melanoma Case-Control Study (960 cases and 513 controls). Candidate predictors included clinically assessed whole-body naevi and solar lentigines, and self-assessed pigmentation phenotype, sun exposure, family history and history of keratinocyte cancer. We evaluated the pred

SUBMITTER: Vuong K 

PROVIDER: S-EPMC6997040 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature