Evidence map›Paper›PMID 34849475›Full record

ArticleEClinicalMedicine2021

Evaluating the Impact and Rationale of Race-Specific Estimations of Kidney Function: Estimations from U.S. NHANES, 2015-2018.

Jennifer W Tsai, Jessica P Cerdeña, William C Goedel, William S Asch, Vanessa Grubbs, Mallika L Mendu, Jay S Kaufman

Abstract read
In one paragraph

Article in EClinicalMedicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

32 citing papers in PubMed.

  1. Article
  2. Anti-Black racism in Canadian clinical tools: Ending race-based correction.Canadian family physician Medecin de famille canadien · 2026
    Article
  3. Article
  4. Article
  5. Association of race and 30-day postoperative complications after urologic oncology surgery.Canadian Urological Association journal = Journal de l'Association des urologues du Canada · 2025
    Article
  6. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Jennifer W TsaiDepartment of Emergency Medicine, Yale University School of Medicine, New Haven, CT.
Jessica P CerdeñaYale University School of Medicine, New Haven, CT.
William C GoedelBrown University School of Public Health, Providence, RI.
William S AschSection of Nephrology, Department of Internal Medicine, Yale University, New Haven, CT.
Vanessa GrubbsDivision of Nephrology, Department of Medicine, University of California, San Francisco, CA.
Mallika L MenduDivision of Renal Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Jay S KaufmanDepartment of Epidemiology, Biostatistics & Occupational Health, McGill University, Montreal, Quebec, Canada.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

backgroundStandard equations for estimating glomerular filtration rate (eGFR) employ race multipliers, systematically inflating eGFR for Black patients. Such inflation is clinically significant because eGFR thresholds of 60, 30, and 20 ml/min/1.73m

methodsUsing population-representative cross-sectional data from the United States National Health and Nutrition Examination Survey (NHANES) from 2015-2018, eGFR values for Black Americans were calculated using the Modification of Diet in Renal Disease (MDRD) equation with and without the 1.21 race-specific coefficient using cohort data on age, sex, race, and serum creatinine.

findingsWithout the MDRD eGFR race adjustment, 3.3 million (10.4%) more Black Americans would reach a diagnostic threshold for Stage 3 Chronic Kidney Disease, 300,000 (0.7%) more would qualify for beneficial nephrologist referral, and 31,000 (0.1%) more would become eligible for transplant evaluation and waitlist inclusion.

interpretationThese findings suggest eGFR race coefficients may contribute to racial differences in the management of kidney. We provide recommendations for addressing this issue at institutional and individual levels.

fundingNo external funding was received for this study.

Indexed as

CKD-EPICystatin CeGFRHealth DisparitiesKidney diseaseKidney failureKidney transplantMDRDNephrology ReferralRace AdjustmentRace-Based MedicineRace CoefficientRacial inequities

Identifiers

PMID34849475
PMCPMC8608882

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.