CBCRisk-Black: a personalized contralateral breast cancer risk prediction model for black women.

ABSTRACT:

Purpose

Black breast cancer (BC) survivors have a higher risk of developing contralateral breast cancer (CBC) than Whites. Existing CBC risk prediction tools are developed based on mostly White women. To address this racial disparity, it is crucial to develop tools tailored for Black women to help them inform about their actual risk of CBC.

Methods

We propose an absolute risk prediction model, CBCRisk-Black, specifically for Black BC patients. It uses data on Black women from two sources: Breast Cancer Surveillance Consortium (BCSC) and Surveillance, Epidemiology, and End Results (SEER). First, a matched lasso logistic regression model for estimating relative risks (RR) is developed. Then, it is combined with relevant hazard rates and attributable risks to obtain absolute ri

SUBMITTER: Sajal IH 

PROVIDER: S-EPMC9637387 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature