Breast cancer risk assessment based on a predictive model: evaluation of risk factors among Japanese women.

ABSTRACT:

Background

Each breast cancer (BC) risk factor has different effects on different populations. However, there are no well-studied and validated BC risk prediction models for Japanese women. We developed accessible predictive models for Japanese women with optimal variables to evaluate risk factors for use by both medical institutions and women for primary BC prevention and to increase the BC screening rate. We evaluated the characteristics and distribution diversity of risk factors in this population.

Methods

This retrospective case-control study of 2,494 Japanese women included data from an original, paper-based questionnaire. The logistic regression models included 18 variables from 6 risk factors based on menopausal status (PRE, premenopausal; PERI, perimenopausal; and PO

SUBMITTER: Yamada M 

PROVIDER: S-EPMC11800414 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature