ISSN: 2155-9554
+44 1478 350008
Emily White
Tanzania
Research Article
Identifying Persons at Highest Risk of Melanoma Using Self-Assessed Risk Factors
Author(s): Lisa H. Williams1, Andrew R. Shors, William E. Barlow, Cam Solomon and Emily White Lisa H. Williams1, Andrew R. Shors, William E. Barlow, Cam Solomon and Emily White
Objective: To develop a self-assessed melanoma risk score to identify high-risk persons for screening
Methods: We used data from a 1997 melanoma case-control study from Washington State, USA, where 386 cases with invasive cutaneous melanoma and 727 controls were interviewed by telephone. A logistic regression prediction model was developed on 75% of the data and validated in the remaining 25% by calculating the area under the receiver operating characteristic curve (AUC), a measure of predictive accuracy from 0.5-1 (higher scores indicating better prediction). A risk score was calculated for each individual, and sensitivities for various risk cutoffs were calculated.
Results: The final model includedsex, age, hair color, density of freckles, number of severe sunburns in childhood and adolescence, number of raised moles.. View More»
DOI:
10.4172/2155-9554.1000129