Race Adjustments in Algorithms Boost CRC Risk Prediction

Medscape October 1, 2024
Edited by Manasi Talwadekar

TOPLINE:

Accounting for racial disparities, including in the quality of family history data, enhanced the predictive performance of a colorectal cancer (CRC) risk prediction model.

METHODOLOGY:

• The medical community is reevaluating the use of race adjustments in clinical algorithms due to concerns about the exacerbation of health disparities, especially as reported family history data are known to vary by race.
• To understand how adjusting for race affects the accuracy of CRC prediction algorithms, researchers studied data from community health centers across 12 states as part of the Southern Community Cohort Study.
• Researchers compared two screening algorithms that modelled 10-year CRC risk: A race-blind algorithm and a race-adjusted algorithm that included Black race as a main effect and an interaction...

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