Melanoma incidence is increasing rapidly worldwide among white-skinned populations.
Earlier diagnosis is the principal factor that can improve prognosis. Defining high-risk�…

The rising incidence of cutaneous melanoma over the past few decades has prompted
substantial efforts to develop risk prediction models identifying people at high risk of�…

Importance Currently, there is no comprehensive assessment of melanoma risk prediction
models. Objective To systematically review published studies reporting multivariable risk�…

Identifying people at high risk of melanoma is important for targeted prevention activities and
surveillance. Several tools have been developed to classify melanoma risk, but few have�…

Background: We report the development of a cutaneous melanoma risk algorithm based
upon seven factors; hair color, skin type, family history, freckling, nevus count, number of�…

Importance Identifying individuals at high risk of melanoma can optimize primary and
secondary prevention strategies. Objective To develop and externally validate a risk�…

Background Risk stratification can improve the efficacy and cost-efficiency of screening
programs for early detection of cancer. We sought to derive a risk stratification tool for�…

Simple and reliable tools for identifying patients at high risk for melanoma with preventive
measures have important public health implications. An individual risk score for cutaneous�…

Purpose Incidence and mortality of cutaneous melanoma is rising rapidly in the United
States; therefore, identifying risk factors for melanoma and integrating them into a clinical�…

Purpose We developed a model to estimate the 5-year absolute risk of melanoma to
efficiently identify individuals at increased risk of melanoma for potential interventions�…