Developing and validating an individualized breast cancer risk prediction model for women attending breast cancer screening.

ABSTRACT:

Background

Several studies have proposed personalized strategies based on women's individual breast cancer risk to improve the effectiveness of breast cancer screening. We designed and internally validated an individualized risk prediction model for women eligible for mammography screening.

Methods

Retrospective cohort study of 121,969 women aged 50 to 69 years, screened at the long-standing population-based screening program in Spain between 1995 and 2015 and followed up until 2017. We used partly conditional Cox proportional hazards regression to estimate the adjusted hazard ratios (aHR) and individual risks for age, family history of breast cancer, previous benign breast disease, and previous mammographic features. We internally validated our model with the expected-to-ob

SUBMITTER: Louro J 

PROVIDER: S-EPMC7987139 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature