Evidence map›Paper›PMID 29970394›Full record

ArticleThe British journal of general practice : the journal of the Royal College of General Practitioners2018

Impact of a single eGFR and eGFR-estimating equation on chronic kidney disease reclassification: a cohort study in primary care.

Jennifer A Hirst, Maria Dla Vazquez Montes, Clare J Taylor, José M Ordóñez-Mena, Emma Ogburn, Vanshika Sharma, Brian Shine, Tim James, Fd Richard Hobbs

Open access · hybridAbstract read
In one paragraph

Article in The British journal of general practice : the journal of the Royal College of General Practitioners, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

12 citing papers in PubMed, 49 citations in OpenAlex.

  1. Review
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  11. Prevalence of chronic kidney disease in the community using data from OxRen: a UK population-based cohort study.The British journal of general practice : the journal of the Royal College of General Practitioners · 2020
    Observational
  12. 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 2 institutions in 2 countries.

Jennifer A HirstNuffield Department of Primary Care Health Sciences, Oxford.
Maria Dla Vazquez MontesNuffield Department of Primary Care Health Sciences, Oxford.
Clare J TaylorNuffield Department of Primary Care Health Sciences, Oxford.
José M Ordóñez-MenaNuffield Department of Primary Care Health Sciences, Oxford.
Emma OgburnNuffield Department of Primary Care Health Sciences, Oxford.
Vanshika SharmaNuffield Department of Primary Care Health Sciences, Oxford.
Brian ShineOxford University Hospitals Biochemistry Department, John Radcliffe Hospital, Oxford.
Tim JamesOxford University Hospitals Biochemistry Department, John Radcliffe Hospital, Oxford.
Fd Richard HobbsNuffield Department of Primary Care Health Sciences, Oxford.
Nuffield Health · GBJohn Radcliffe Hospital · GB

Funding

Department of Health 12/01/52Department of Health IS-SPC-0514-10043Medical Research Council G9900264
6 · The paper itself

Abstract

backgroundChronic kidney disease (CKD) is diagnosed using the estimated glomerular filtration rate (eGFR) and the urinary albumin:creatinine ratio (ACR). The eGFR is calculated from serum creatinine levels using the Modification of Diet in Renal Disease (MDRD) or Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equations.

aimTo compare the performance of one versus two eGFR/ACR measurements, and the impact of equation choice, on CKD diagnosis and classification. DESIGN AND

settingCohort study in primary care in the Thames Valley region of the UK.

methodData were from 485 participants aged >60 years in the Oxford Renal Cohort Study with at least two eGFR tests. The proportion of study participants diagnosed and classified into different CKD stages using one and two positive tests were compared. Prevalence of CKD diagnosis and classification by CKD stage were compared when eGFR was calculated using MDRD and CKD-EPI equations.

resultsParticipants included in the analysis had a mean age of 72.1 (±6.8) years and 57.0% were female. Use of a single screening test overestimated the proportion of people with CKD by around 25% no matter which equation was used, compared with the use of two tests. The mean eGFR was 1.4 ml/min/1.73 m

conclusionCurrent guidance to use two eGFR measures to diagnose CKD remains appropriate in an older primary care population to avoid overdiagnosis. A change from MDRD to CKD-EPI equation could result in one in 12 patients with a CKD diagnosis with MDRD no longer having a diagnosis of CKD.

Indexed as

Glomerular Filtration RatePrimary Health CareAgedCohort StudiesCreatinineFemaleHumansMaleMiddle AgedPrognosisRenal Insufficiency, ChronicReproducibility of ResultsRisk AssessmentUnited KingdomCreatininechronic kidney diseasesCKD-EPIeGFRglomerular filtration ratekidney failure, chronicMDRDoverdiagnosisrenal insufficiency, chronic

Identifiers

PMID29970394
PMCPMC6058619
OpenAlexW2810445713

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.