Evidence map›Paper›PMID 33798557›Full record

ReviewUrology2022

Removing Race from eGFR calculations: Implications for Urologic Care.

Fernandino L Vilson, Bogdana Schmidt, Lee White, Simon John Christoph Soerensen, Calyani Ganesan, Alan C Pao, Ekene Enemchukwu, Glenn M Chertow, John T Leppert

Open access · greenAbstract readReview
In one paragraph

Review in Urology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-weighted citation impact, top 22% of its field
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

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
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

9 authors at 1 institution in 1 country.

Fernandino L VilsonDepartment of Urology, Stanford University School of Medicine, Stanford, CA.
Bogdana SchmidtDepartment of Urology, Stanford University School of Medicine, Stanford, CA.
Lee WhiteDepartment of Urology, Stanford University School of Medicine, Stanford, CA.
Simon John Christoph SoerensenDepartment of Urology, Stanford University School of Medicine, Stanford, CA.
Calyani GanesanDepartment of Medicine, Division of Nephrology, Stanford University School of Medicine, Stanford, CA.
Alan C PaoDepartment of Urology, Stanford University School of Medicine, Stanford, CA; Department of Medicine, Division of Nephrology, Stanford University School of Medicine, Stanford, CA.
Ekene EnemchukwuDepartment of Urology, Stanford University School of Medicine, Stanford, CA.
Glenn M ChertowDepartment of Medicine, Division of Nephrology, Stanford University School of Medicine, Stanford, CA.
John T LeppertDepartment of Urology, Stanford University School of Medicine, Stanford, CA; Department of Medicine, Division of Nephrology, Stanford University School of Medicine, Stanford, CA. Electronic address: jleppert@stanford.edu.
Stanford University · US

Funding

Bone Health in Patients with Urinary Stone DiseaseK23DK128651 · NIDDK · STANFORD UNIVERSITY · PI Calyani Ganesan · 2022 to 2026
$964k
NIDDK NIH HHS K23 DK128651
6 · The paper itself

Abstract

Equations estimating the glomerular filtration rate are important clinical tools in detecting and managing kidney disease. Urologists extensively use these equations in clinical decision making. For example, the estimated glomerular function rate is used when considering the type of urinary diversion following cystectomy, selecting systemic chemotherapy in managing urologic cancers, and deciding the type of cross-sectional imaging in diagnosing or staging urologic conditions. However, these equations, while widely accepted, are imprecise and adjust for race which is a social, not a biologic construct. The recent killings of unarmed Black Americans in the US have amplified the discussion of racism in healthcare and has prompted institutions to reconsider the role of race in estimation of glomerular filtration rate equations and raced-based medicine. Urologist should be aware of the consequences of removing race from these equations, potential alternatives, and how these changes may affect Black patients receiving urologic care.

Indexed as

Kidney DiseasesUrinary DiversionBlack or African AmericanBlack PeopleFemaleGlomerular Filtration RateHumansMale

Identifiers

PMID33798557
PMCPMC10812382
OpenAlexW3150221787

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

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 Socratic graph.