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Momentum has increased to eliminate race correction from clinical algorithms, but efforts have focused primarily on examples in which adjusting by race might worsen an existing racial inequity, such as in the revised vaginal birth after cesarean section calculator and equations for estimated glomerular filtration rate.1 Other examples, such as the atherosclerotic cardiovascular disease (ASCVD) Risk Estimator, raise the question of whether race correction is acceptable if used in algorithms that could be considered somewhat protective towards racial or ethnic groups that have been historically marginalised.
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A 2021 study studied this question.
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