Racial and Ethnic Bias in Risk Prediction Models for Colorectal Cancer Recurrence When Race and Ethnicity Are Omitted as Predictors.

ABSTRACT:

Importance

Including race and ethnicity as a predictor in clinical risk prediction algorithms has received increased scrutiny, but there continues to be a lack of empirical studies addressing whether simply omitting race and ethnicity from the algorithms will ultimately affect decision-making for patients of minoritized racial and ethnic groups.

Objective

To examine whether including race and ethnicity as a predictor in a colorectal cancer recurrence risk algorithm is associated with racial bias, defined as racial and ethnic differences in model accuracy that could potentially lead to unequal treatment.

Design, setting, and participants

This retrospective prognostic study was conducted using data from a large integrated health care system in Southern California for pa

SUBMITTER: Khor S 

PROVIDER: S-EPMC10273018 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature