Journal article
Development and external validation of a melanoma risk prediction model based on self-assessed risk factors
K Vuong, BK Armstrong, E Weiderpass, E Lund, HO Adami, MB Veierod, JH Barrett, JR Davies, DT Bishop, DC Whiteman, CM Olsen, JL Hopper, GJ Mann, AE Cust, K McGeechan, JF Aitken, GG Giles, RF Kefford, H Schmid, MA Jenkins
JAMA Dermatology | AMER MEDICAL ASSOC | Published : 2016
Abstract
Importance: Identifying individuals at high risk of melanoma can optimize primary and secondary prevention strategies. Objective: To develop and externally validate a risk prediction model for incident first-primary cutaneous melanoma using self-assessed risk factors. Design, Setting, and Participants: We used unconditional logistic regression to develop a multivariable risk prediction model. Relative risk estimates from the model were combined with Australian melanoma incidence and competing mortality rates to obtain absolute risk estimates. A risk prediction model was developed using the Australian Melanoma Family Study (629 cases and 535 controls) and externally validated using 4 independ..
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Awarded by National Institutes of Health
Funding Acknowledgements
Dr Vuong was supported by a University of Sydney Postgraduate Scholarship in Cancer Epidemiology and a Sydney Catalyst Top-Up Research Scholar Award. Dr Cust was supported by fellowships from the Cancer Institute New South Wales (10/ECF/2-06) and the Australian National Health and Medical Research Council (NHMRC) (1063593). The Australian Melanoma Family Study received funding from the NHMRC (project grants 107359, 211172 and Program Grant 402761 to G.J.M. and R.F.K.); project grants from the Cancer Council of New South Wales (77/00, 06/10), Cancer Council of Victoria, and Cancer Council of Queensland (371); and the US National Institutes of Health (via R01 grant CA-83115-01A2 to the international Melanoma Genetics Consortium, GenoMEL). The Swedish Women's Lifestyle and Health study is supported by a grant from the Swedish Research Council (Vetenskapsradet) (K2012-69X-22062-01-3).