Evidence map›Paper›PMID 34383841›Full record

ArticlePloS one2021

Estimated glomerular filtration rate equations in people of self-reported black ethnicity in the United Kingdom: Inappropriate adjustment for ethnicity may lead to reduced access to care.

Rouvick M Gama, Amanda Clery, Kathryn Griffiths, Neil Heraghty, Adrien M Peters, Kieran Palmer, Henry Kibble, Royce P Vincent, Claire C Sharpe, Hugh Cairns and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
4.7field-weighted citation impact, top 4% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.

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  12. Estimating glomerular filtration rate with new equations: can one size ever fit all?Critical reviews in clinical laboratory sciences · 2023
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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

11 authors at 2 institutions in 1 country.

Rouvick M GamaKing's Kidney Care, King's College Hospital NHS Foundation Trust, London, United Kingdom.ORCID 0000-0003-0292-7582
Amanda ClerySchool of Population Health and Environmental Sciences, King's College London, London, United Kingdom.
Kathryn GriffithsKing's Kidney Care, King's College Hospital NHS Foundation Trust, London, United Kingdom.ORCID 0000-0001-6312-4789
Neil HeraghtyDepartment of Nuclear Medicine, King's College Hospital NHS Foundation Trust, London, United Kingdom.
Adrien M PetersDepartment of Nuclear Medicine, King's College Hospital NHS Foundation Trust, London, United Kingdom.
Kieran PalmerKing's Kidney Care, King's College Hospital NHS Foundation Trust, London, United Kingdom.ORCID 0000-0003-3710-1588
Henry KibbleKing's Kidney Care, King's College Hospital NHS Foundation Trust, London, United Kingdom.
Royce P VincentDepartment of Clinical Biochemistry, King's College Hospital NHS Foundation Trust, London, United Kingdom.ORCID 0000-0003-0743-4189
Claire C SharpeDepartment of Inflammation Biology, School of Immunology and Microbial Sciences, King's College London, London, United Kingdom.ORCID 0000-0003-1704-8492
Hugh CairnsKing's Kidney Care, King's College Hospital NHS Foundation Trust, London, United Kingdom.
Kate BramhamKing's Kidney Care, King's College Hospital NHS Foundation Trust, London, United Kingdom.
King's College Hospital NHS Foundation Trust · GBKing's College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Assessment in African populations suggest adjustment for ethnicity in estimated glomerular filtration rate (eGFR) equations derived from African Americans lead to overestimation of GFR and failure to determine severity in chronic kidney disease (CKD). However, studies in African Europeans are limited. We aimed to assess accuracy of eGFR equations, with and without ethnicity adjustment compared with measured GFR in people of Black ethnicity in the United Kingdom. Performance of MDRD, CKD-EPI (with and without ethnicity adjustment), Full Age Spectrum (FAS), revised Lund Malmö (LM Revised), and European Kidney Function Consortium (EKFC) eGFR equations were assessed compared to 51Cr-EDTA GFR studies extracted from hospital databases. Participants with albumin <30g/l, liver disease, <18 years, of non-Black or non-White self-reported ethnicity were excluded. Agreement was assessed by bias, precision and 30%-accuracy and was stratified for ethnicity and GFR. 1888 51Cr-EDTA studies were included (Mean age-53.7yrs; 43.6% female; 14.1% Black ethnicity). Compared to White participants, eGFR-MDRD and eGFR-CKD-EPI equations in Black participants significantly overestimated GFR (bias 20.3 and 19.7 ml/min/1.73m2 respectively, p<0.001). Disregarding the ethnicity adjustment significantly improved GFR estimates for Black participants (bias 6.7 and 2.4ml/min/1.73m2 for eGFR-MDRD and eGFR-CKD-EPI respectively, p<0.001). The LM Revised equation had the smallest bias for both White and Black participants (5.8ml and -1.1ml/min/1.73m2 respectively). 30%-accuracy was superior for GFR≥60ml/min/1.73m2 compared to <60ml/min/1.73m2 using eGFR-CKD-EPI equation for both White and Black participants (p<0.001). Multivariate regression methodology with adjustment for age, sex and log(serum creatinine) in the cohort yielded an ethnicity coefficient of 1.018 (95% CI: 1.009-1.027). Overestimation of measured GFR with eGFR equations using ethnicity adjustment factors may lead to reduced CKD diagnosis and under-recognition of severity in people of Black ethnicity. Our findings suggest that ethnicity adjustment for GFR estimation in non-African Americans may not be appropriate for use in people of Black ethnicity in the UK.

Indexed as

AlgorithmsAdultAgedBlack or African AmericanBlack PeopleCreatinineCross-Sectional StudiesDatabases, FactualFemaleGlomerular Filtration RateHumansLinear ModelsMaleMiddle AgedOdds RatioRenal Insufficiency, ChronicCreatinine

Identifiers

PMID34383841
PMCPMC8360513
OpenAlexW3190057319

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.