Development of a Breast Cancer Risk Prediction Model for Women in Nigeria.
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ABSTRACT: Background: Risk prediction models have been widely used to identify women at higher risk of breast cancer. We aimed to develop a model for absolute breast cancer risk prediction for Nigerian women.Methods: A total of 1,811 breast cancer cases and 2,225 controls from the Nigerian Breast Cancer Study (NBCS, 1998-2015) were included. Subjects were randomly divided into the training and validation sets. Incorporating local incidence rates, multivariable logistic regressions were used to develop the model.Results: The NBCS model included age, age at menarche, parity, duration of breastfeeding, family history of breast cancer, height, body mass index, benign breast diseases, and alcohol consumption. The model developed in the training set performed well in the validation se
SUBMITTER: Wang S
PROVIDER: S-EPMC6086588 | biostudies-literature | 2018 Jun
REPOSITORIES: biostudies-literature
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