Evidence map›Paper›PMID 33063202›Full record

ArticleJournal of general internal medicine2021

Examining the Potential Impact of Race Multiplier Utilization in Estimated Glomerular Filtration Rate Calculation on African-American Care Outcomes.

Salman Ahmed, Cameron T Nutt, Nwamaka D Eneanya, Peter P Reese, Karthik Sivashanker, Michelle Morse, Thomas Sequist, Mallika L Mendu

Abstract read
In one paragraph

Article in Journal of general internal medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 1 pooled it
–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

62 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. A Microsimulation-Based Approach for Mitigating Societal Bias in Chronic Kidney Disease Data.Medical decision making : an international journal of the Society for Medical Decision Making · 2026
    Article
  6. Article
  7. A microsimulation-based framework for mitigating societal bias in primary care data.medRxiv : the preprint server for health sciences · 2025
    Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Impact of race-based customization on detection of fetal growth restriction.Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology · 2025
    Article
  13. Article
  14. Article
  15. Article
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  17. Article
  18. Medical Artificial Intelligence and Human Values.The New England journal of medicine · 2024
    Review
  19. Review
  20. Article

2 more citing papers are in PubMed but not listed here.

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

8 authors.

Salman AhmedDivision of Renal Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. sahmed28@bwh.harvard.edu.ORCID 0000-0002-1912-9643
Cameron T NuttDepartment of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Nwamaka D EneanyaRenal-Electrolyte and Hypertension Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Peter P ReeseRenal-Electrolyte and Hypertension Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Karthik SivashankerDepartment of Diversity, Inclusion, and Experience, Brigham and Women's Hospital, Boston, MA, USA.
Michelle MorseDepartment of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Thomas SequistDepartment of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Mallika L MenduDivision of Renal Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdvancing health equity entails reducing disparities in care. African-American patients with chronic kidney disease (CKD) have poorer outcomes, including dialysis access placement and transplantation. Estimated glomerular filtration rate (eGFR) equations, which assign higher eGFR values to African-American patients, may be a mechanism for inequitable outcomes. Electronic health record-based registries enable population-based examination of care across racial groups.

objectiveTo examine the impact of the race multiplier for African-Americans in the CKD-EPI eGFR equation on CKD classification and care delivery.

designCross-sectional study

settingTwo large academic medical centers and affiliated community primary care and specialty practices.

participantsA total of 56,845 patients in the Partners HealthCare System CKD registry in June 2019, among whom 2225 (3.9%) were African-American. MEASUREMENTS: Exposures included race, age, sex, comorbidities, and eGFR. Outcomes were transplant referral and dialysis access placement.

resultsOf 2225 African-American patients, 743 (33.4%) would hypothetically be reclassified to a more severe CKD stage if the race multiplier were removed from the CKD-EPI equation. Similarly, 167 of 687 (24.3%) would be reclassified from stage 3B to stage 4. Finally, 64 of 2069 patients (3.1%) would be reassigned from eGFR > 20 ml/min/1.73 m LIMITATIONS: Single healthcare system in the Northeastern United States and relatively small African-American patient cohort may limit generalizability.

conclusionsOur study reveals a meaningful impact of race-adjusted eGFR on the care provided to the African-American CKD patient population.

Indexed as

Black or African AmericanRenal Insufficiency, ChronicCross-Sectional StudiesGlomerular Filtration RateHumansNew England

Identifiers

PMID33063202
PMCPMC7878608

What OpenQuestion holds

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Registered trials

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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.