The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.
New creatinine- and cystatin C-based equations to estimate GFR without race
Open accessAbstract
BACKGROUND: Current equations for estimated glomerular filtration rate (eGFR) that use serum creatinine or cystatin C incorporate age, sex, and race to estimate measured GFR. However, race in eGFR equations is a social and not a biologic construct. METHODS: We developed new eGFR equations without race using data from two development data sets: 10 studies (8254 participants, 31.5% Black) for serum creatinine and 13 studies (5352 participants, 39.7% Black) for both serum creatinine and cystatin C. In a validation data set of 12 studies (4050 participants, 14.3% Black), we compared the accuracy of new eGFR equations to measured GFR. We projected the prevalence of chronic kidney disease (CKD) and GFR stages in a sample of U.S. adults, using current and new equations. RESULTS: ; 95% CI, 3.4 to 4.4). For all equations, 85% or more of the eGFRs for Blacks and non-Blacks were within 30% of measured GFR. New creatinine-cystatin C equations without race were more accurate than new creatinine equations, with smaller differences between race groups. As compared with the current creatinine equation, the new creatinine equations, but not the new creatinine-cystatin C equations, increased population estimates of CKD prevalence among Blacks and yielded similar or lower prevalence among non-Blacks. CONCLUSIONS: New eGFR equations that incorporate creatinine and cystatin C but omit race are more accurate and led to smaller differences between Black participants and non-Black participants than new equations without race with either creatinine or cystatin C alone. (Funded by the National Institute of Diabetes and Digestive and Kidney Diseases.).
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“Hence, the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) creatinine equation was refit without the race variable and should be used for everyone (17,18).”
From 11. Chronic Kidney Disease and Risk Management: Standards of Care in Diabetes—2025 (2025) · cites this paper as [17]
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In the citing paper
“Adding cystatin C to serum creatinine improves the accuracy of race-neutral eGFR equations (476,477)”
From Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus (2023) · cites this paper as [476]
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“The combination of both filtration markers (creatinine and cystatin C) is more accurate and would support better clinical decisions than either marker alone (16,19).”
From 11. Chronic Kidney Disease and Risk Management: Standards of Care in Diabetes—2026 (2026) · cites this paper as [16]
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“Sensitivity analyses were also performed using eGFR calculated determined using the 2021 creatinine-based CKD-EPI formula43, and separately using the combined creatinine-cystatin C CKD-EPI formula (Supplementary Appendix 2)19.”
In the citing paper
“This level of eGFR is associated with increased risk of CKD progression and CVD.43,679,680”
From 2023 ESC guidelines for the management of cardiovascular disease in patients with diabetes. (2023) · cites this paper as [680]
In the citing paper
“Risk of CVD increases progressively with lower levels of eGFR and, in those with advanced CKD, structural abnormalities of the heart, HF, and sudden death are particular features.679,680,[686][687][688]”
From 2023 ESC guidelines for the management of cardiovascular disease in patients with diabetes. (2023) · cites this paper as [680]
In the citing paper
“Risk of CVD increases progressively with lower levels of eGFR and, in those with advanced CKD, structural abnormalities of the heart, HF, and sudden death are particular features.679,680,[686][687][688]”
From 2023 ESC guidelines for the management of cardiovascular disease in patients with diabetes. (2023) · cites this paper as [680]
In the citing paper
“Since the recruitment of FLOW trial participants, a new CKD-EPI formula without race as a factor has been recommended; a pre-specified supplementary analysis has now been added to evaluate the impact of the updated formula on the results [16].”
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Citations
Cites
A New Equation to Estimate Glomerular Filtration Rate
Levey, A. S., Stevens, L. A., Schmid, C. H., Zhang, Y. (., Castro, A. F., Feldman, H. I., Kusek, J. W., Eggers, P., Van Lente, F., Greene, T., et al. (2009) · Annals of Internal Medicine · doi:10.7326/0003-4819-150-9-200905050-00006 · Cited by 25,603
Self-citationPrevalence of Chronic Kidney Disease in the United States
Coresh, J., Selvin, E., Stevens, L. A., Manzi, J., Kusek, J. W., Eggers, P., Van Lente, F., & Levey, A. S. (2007) · JAMA · doi:10.1001/jama.298.17.2038 · Cited by 4,895
Self-citationEstimating glomerular filtration rate from serum creatinine and cystatin C
Inker, L. A., Schmid, C. H., Tighiouart, H., Eckfeldt, J. H., Feldman, H. I., Greene, T., Kusek, J. W., Manzi, J., Van Lente, F., Zhang, Y. L., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1114248 · Cited by 4,102
Self-citation(2012) · Kidney International Supplements · doi:10.1038/kisup.2012.73 · Cited by 3,325
Assessing Kidney Function — Measured and Estimated Glomerular Filtration Rate
Stevens, L. A., Coresh, J., Greene, T., & Levey, A. S. (2006) · New England Journal of Medicine · doi:10.1056/nejmra054415 · Cited by 2,952
Self-citationAndrássy, K. (2013) · Kidney International · doi:10.1038/ki.2013.243 · Cited by 2,495
Hidden in Plain Sight — Reconsidering the Use of Race Correction in Clinical Algorithms
Vyas, D. A., Eisenstein, L. G., & Jones, D. S. (2020) · New England Journal of Medicine · doi:10.1056/nejmms2004740 · Cited by 1,731
National Health and Nutrition Examination Survey
(2008) · Sage eBooks · doi:10.4135/9781412953948.n305 · Cited by 1,341
US Renal Data System 2018 Annual Data Report: Epidemiology of Kidney Disease in the United States
Saran, R., Robinson, B. M., Abbott, K. C., Agodoa, L. Y. C., Bragg‐Gresham, J. L., Balkrishnan, R., Bhave, N. M., Dietrich, X., Ding, Z., Eggers, P. W., et al. (2019) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2019.01.001 · Cited by 955
Self-citationStevens, L. A., Claybon, M. A., Schmid, C. H., Chen, J., Horio, M., Imai, E., Nelson, R. G., Deventer, M. V., Wang, H., Zuo, L., et al. (2010) · Kidney International · doi:10.1038/ki.2010.462 · Cited by 519
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Research works printed but not linked: 2
- Warren E Booker C Wyden R Lee B. Agency for Healthcare Research and Quality (AHRQ) requesting a review of the use of race-based clinical algorithms in standard medical practices. Washington DC: U.S. Congress September 22 2020.
- National Kidney Foundation American Society of Nephrology. Removing race from estimates of kidney function. March 9 2021 (https://www.asn-online.org/about/press/releases/ASN_PR_20210309_Press_release_NKF_A.pdf).
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KDIGO 2024 clinical practice guideline for the evaluation and management of chronic kidney disease
Stevens, P. E., Ahmed, S. B., Carrero, J. J., Foster, B., Francis, A., Hall, R. K., Herrington, W. G., Hill, G., Inker, L. A., Kazancıoğlu, R., et al. (2024) · Kidney International · doi:10.1016/j.kint.2023.10.018 · Cited by 8,530
Self-citationHeart Disease and Stroke Statistics—2023 Update: A Report From the American Heart Association
Tsao, C. W., Aday, A. W., Almarzooq, Z. I., Anderson, C. A. M., Arora, P., Avery, C. L., Baker-Smith, C. M., Beaton, A. Z., Boehme, A. K., Buxton, A. E., et al. (2023) · Circulation · doi:10.1161/cir.0000000000001123 · Cited by 8,300
Martin, S. S., Aday, A. W., Almarzooq, Z. I., Anderson, C. A. M., Arora, P., Avery, C. L., Baker-Smith, C. M., Barone Gibbs, B., Beaton, A. Z., Boehme, A. K., et al. (2024) · Circulation · doi:10.1161/cir.0000000000001209 · Cited by 2,800
Toward expert-level medical question answering with large language models
Singhal, K., Tu, T., Gottweis, J., Sayres, R., Wulczyn, E., Amin, M., Hou, L., Clark, K., Pfohl, S. R., Cole-Lewis, H., et al. (2025) · Nature Medicine · doi:10.1038/s41591-024-03423-7 · Cited by 1,734
2023 ESC guidelines for the management of cardiovascular disease in patients with diabetes.
Marx, N., Federici, M., Schütt, K., Müller-Wieland, D., Ajjan, R. A., Antunes, M. J., Christodorescu, R. M., Crawford, C., Di Angelantonio, E., Eliasson, B., et al. (2023) · European Heart Journal · doi:10.1093/eurheartj/ehad192 · Cited by 1,642
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Metadata
- Authors
- Inker, L. A., Eneanya, N. D., Coresh, J., Tighiouart, H., Wang, D., Sang, Y., Crews, D. C., Doria, A., Estrella, M. M., Froissart, M., Grams, M. E., Greene, T., Grubb, A., Gudnason, V., Gutiérrez, O. M., Kalil, R., Karger, A. B., Mauer, M., Navis, G., Nelson, R. G., Poggio, E. D., Rodby, R., Rossing, P., Rule, A. D., Selvin, E., Seegmiller, J. C., Shlipak, M. G., Torres, V. E., Yang, W., Ballew, S. H., Couture, S. J., Powe, N. R., & Levey, A. S.
- Affiliations
- Tufts University (US)
- ORCID
- Venue
- New England Journal of Medicine
- Publisher
- Massachusetts Medical Society
- Published
- 2021-11-04
- Volume
- 385
- Issue
- 19
- Pages
- 1737-1749
- ISSN
- 0028-4793 (ISSN-L)
- 1533-4406
- PMC
- PMC8822996
- OpenAlex
- W3201595862
- Semantic Scholar
- 13337143c398a584e3076a1b3be0178611b6e455
- Cited by
- 4,695
- References
- 34
- Citations by year
- 2026: 1301 · 2025: 1222 · 2024: 1008 · 2023: 729 · 2022: 394 · 2021: 33
- FWCI
- 373.01
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- New England Journal of Medicine (publishedVersion)
- PubMed (publishedVersion)
- Research at the University of Copenhagen (University of Copenhagen) (publishedVersion, other-oa)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (publishedVersion, other-oa)
- SERVAL (Université de Lausanne) (publishedVersion, other-oa)
- PubMed Central (acceptedVersion)
- IRIS (submittedVersion)
- Opin vísindi (Opin vísindi) (submittedVersion, cc-by-nc-sa)
- eScholarship (California Digital Library) (submittedVersion)
- Lund University Publications (Lund University) (submittedVersion)
- Opin vísindi (Opin vísindi) (submittedVersion, other-oa)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (submittedVersion, other-oa)
- Funders
- Clinical Translational Science Center
- Gilead Sciences
- Medical Faculty of the University of Lund (Grant 05196)
- National Research Service Award (T32 DK07013)
- National Heart, Lung, and Blood Institute (HL146193, HL146201, HL146208, HL146240, HL146333, N01-HC-95159, N01-HC-95160, N01-HC-95161, N01-HC-95162, N01-HC-95163, N01-HC-95164, N01-HC-95165, N01-HC-95166, N01-HC-95167, N01-HC-95168, N01-HC-95169)
- French Ministry of Health (AOM 09114, INSERM AO 8022LS)
- Agence de la Biomedecine (R0 8156LL)
- AURA and Roche (2009-152-447G)
- JDRF (17-2012-377)
- National Institute on Aging (P30-AG-02482, P30-AG-08808)
- Kaiser Permanente (NIH/NCRR UCSF-CTSI UL1 RR-024131)
- Merck
- Canadian Institutes of Health Research ((#DCT 14281)
- National Center for Research Resources General Clinical Research Center (RR000032, RR000039, RR00585, RR23940)
- National Center for Health Statistics
- University of Minnesota General Clinical Research Center
- National Institute of Diabetes and Digestive and Kidney Diseases (1R01DK116790, DK056943, DK056956, DK056957, DK056961, DK090728, DK106912, DK51975, N01-DK-6-2285, N01-DK-7-2291, P30-DK-020572, P30-DK-036836, R01 DK113111, R01-DK082447, R01DK097020, R01DK119199, R03-DK-094484, R34-DK-097808, U01 DK045388, U01 DK053869, U01 DK066013, U01 DK094157, U01 DK094176, U01 DK35073, U01DK060902, U01DK060963, U01DK060980, U01DK060984, U01DK060990, U01DK061021, U01DK061022, U01DK061028, U24DK060990, UC4-DK-101108, UL1-TR-002494)
- National Institute on Minority Health and Health Disparities (M01 RR00071)
- National Center for Advancing Translational Sciences (M01 RR-16500, P20 GM109036, RR024150, RR024153, RR025008, RR025777, RR033179, TR000001, TR000005, TR000135, TR000165, TR000454, TR001417, UL1 RR025752, UL1 RR025777, UL1 RR029887, UL1 TR-000424, UL1-TR-000040, UL1-TR-001079, UL1-TR-001105, UL1-TR-001420, UL1-TR-001422, UL1-TR-002319, UL1-TR-002319-02, UL1-TR-002556, UL1RR029879, UL1TR000003, UL1TR000433, UL1TR000439)
- U.S. Public Health Service (M01-RR00400, MO1-RR00030, MO1-RR00034, MO1-RR00036, MO1-RR00051, MO1-RR00058, MO1-RR00059, MO1-RR00425, R01-DK 39826, R01-DK 39908)
- Bristol-Myers Squibb Pharmaceutical Research Institute
- National Eye Institute
- Genetic Clinical Research Centers Program
- Topics
- Health Sciences › Medicine › Nephrology › Chronic Kidney Disease and Diabetes
- Health Sciences › Medicine › Nephrology › Acute Kidney Injury Research
- Health Sciences › Medicine › Nephrology › Dialysis and Renal Disease Management
- Keywords
- estimated glomerular filtration rate, cystatin C, serum creatinine, chronic kidney disease prevalence, Black people, kidney function estimation, CKD staging, equation validation
- MeSH terms
- Adult, Aged, Algorithms, Black or African American, Creatinine, Female, Glomerular Filtration Rate, Humans, Male, Middle Aged, United States, Black People, Racial Groups, Renal Insufficiency, Chronic, Cystatin C, Datasets as Topic
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