Removing race from kidney function algorithm reveals systemic biases in transplant access for Black patients
Original framing: “Removing race from kidney function algorithm helped more Black patients access transplants” — STAT News
Scientific evidence increasingly shows that race is not a biologically meaningful category for health assessment. The eGFR algorithm's reliance on race lacks empirical support and has been shown to produce inaccurate results for Black patients, leading to delayed or denied care.
The removal of race from the eGFR algorithm is a critical step toward addressing systemic inequities in healthcare, but it is only part of a larger transformation needed.
Historical patterns of racial bias in medicine, such as the Tuskegee Syphilis Study, have created lasting distrust among Black communities. Cross-culturally, alternative health systems offer models for patient-centered care that do not rely on race-based metrics. Scientific evidence supports the elimination of race from health algorithms, while Indigenous and other marginalized voices provide essential perspectives on holistic health. Future health systems must integrate these diverse insights to create equitable, inclusive, and scientifically sound approaches to care.