Clinical Implications of Removing Race From Estimates of Kidney Function
- PMID: 33263721
- PMCID: PMC7711563
- DOI: 10.1001/jama.2020.22124
Clinical Implications of Removing Race From Estimates of Kidney Function
Abstract
This study uses NHANES data to compare estimated glomerular filtration rate from serum creatinine (eGFRcr) values calculated with vs without race as a variable, and to estimate the number of patients for whom nephrologist referrals and drug and renal replacement recommendations would change as a result according to KDIGO guidelines and Medicare benefit policies.
Conflict of interest statement
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Comment in
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Removal of Race From Estimates of Kidney Function: First, Do No Harm.JAMA. 2021 Jan 12;325(2):135-137. doi: 10.1001/jama.2020.23373. JAMA. 2021. PMID: 33263722 No abstract available.
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Removing race from GFR estimates: balancing potential benefits and unintended consequences.Kidney Int. 2021 Jul;100(1):11-13. doi: 10.1016/j.kint.2021.02.017. Epub 2021 Feb 27. Kidney Int. 2021. PMID: 33647323 No abstract available.
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Removing Race From Kidney Function Estimates.JAMA. 2021 May 18;325(19):2018. doi: 10.1001/jama.2021.3458. JAMA. 2021. PMID: 34003230 No abstract available.
References
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- Eneanya ND, Yang W, Reese PP. Reconsidering the consequences of using race to estimate kidney function. JAMA. 2019;322(2):113-114. - PubMed
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- Vyas DA, Eisenstein LG, Jones DS. Hidden in plain sight—reconsidering the use of race correction in clinical algorithms. N Engl J Med. 2020;383(9):874-882. - PubMed
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- Code of Federal Regulations Supplementary Medical Insurance (SMI) Benefits. 42 CFR §410. Accessed October 6, 2020. https://www.law.cornell.edu/cfr/text/42/part-410
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