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Race and Ethnicity in CRC Recurrence Risk Algorithms?

Colorectal cancer risk recurrence models that omit race/ethnicity may result in worse prediction accuracy for minority groups, potentially leading to inappropriate care. ....

United States , Vanderbilt University , Sara Khor , Ankur Pandya , Jinyi Zhu , University Of Washington , Vanderbilt University School Of Medicine , Medscape Medical , African American , Pacific Islander , Public Health , Vanderbilt University School ,

Omitting impact of race, ethnicity results in less accurate cancer risk prediction models

Prognostic models for risk for postoperative cancer recurrence that omit race and ethnicity as predictors may be less accurate for individuals from historically underserved populations, retrospective study results showed.Removing race and ethnicity from risk prediction algorithms for colorectal cancer recurrence has a deleterious effect on model fairness that could result in “inappropriate ....

United States , Ankur Pandya , Sara Khor , Aasthaa Bansal , Jinyi Zhu , Vanderbilt University School Of Medicine , University Of Washington Comparative Health Outcomes , Comparative Health Outcomes , Kaiser Permanente Southern , Pacific Islander , African American , Public Health , Vanderbilt University School ,