Evidence map›Paper›PMID 31700174›Full record

ArticleNature medicine2019

Glomerular filtration rate by differing measures, albuminuria and prediction of cardiovascular disease, mortality and end-stage kidney disease.

Jennifer S Lees, Claire E Welsh, Carlos A Celis-Morales, Daniel Mackay, James Lewsey, Stuart R Gray, Donald M Lyall, John G Cleland, Jason M R Gill, Pardeep S Jhund and 4 more

Erratum issuedOpen access · greenAbstract read
In one paragraph

Article in Nature medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 152 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
152citing papers in PubMed, 4 pooled it
19.5field-weighted citation impact, top 1% 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

152 citing papers in PubMed, 4 syntheses or guidelines pooled it, 303 citations in OpenAlex.

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  19. Renal failure isn't just a nephrologist problem.European heart journal supplements : journal of the European Society of Cardiology · 2026
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92 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 1 institution in 1 country.

Jennifer S Lees *Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK. jennifer.lees@glasgow.ac.uk.ORCID http://orcid.org/0000-0001-6331-0178
Claire E Welsh *Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK.
Carlos A Celis-MoralesInstitute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK.
Daniel MackayInstitute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK.
James LewseyGlasgow Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK.
Stuart R GrayInstitute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK.ORCID http://orcid.org/0000-0001-8969-9636
Donald M LyallGlasgow Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK.
John G ClelandInstitute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK.ORCID http://orcid.org/0000-0002-1471-7016
Jason M R GillInstitute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK.
Pardeep S JhundInstitute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK.
Jill PellGlasgow Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK.
Naveed SattarInstitute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK.ORCID http://orcid.org/0000-0002-1604-2593
Paul WelshInstitute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK.
Patrick B MarkInstitute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK.ORCID http://orcid.org/0000-0003-3387-2123
University of Glasgow · GB

Funding

British Heart Foundation RE/13/5/30177Medical Research Council MC_PC_17228Medical Research Council MC_QA137853
6 · The paper itself

Abstract

Chronic kidney disease is common in the general population and associated with excess cardiovascular disease (CVD), but kidney function does not feature in current CVD risk-prediction models. We tested three formulae for estimated glomerular filtration rate (eGFR) to determine which was the most clinically informative for predicting CVD and mortality. Using data from 440,526 participants from UK Biobank, eGFR was calculated using serum creatinine, cystatin C (eGFRcys) and creatinine-cystatin C. Associations of each eGFR with CVD outcome and mortality were compared using Cox models and adjusting for atherosclerotic risk factors (per relevant risk scores), and the predictive utility was determined by the C-statistic and categorical net reclassification index. We show that eGFRcys is most strongly associated with CVD and mortality, and, along with albuminuria, adds predictive discrimination to current CVD risk scores, whilst traditional creatinine-based measures are weakly associated with risk. Clinicians should consider measuring eGFRcys as part of cardiovascular risk assessment.

Indexed as

AdultAgedAlbuminuriaBiological Specimen BanksBiomarkersCardiovascular DiseasesCreatinineFemaleGlomerular Filtration RateHumansKidney Failure, ChronicMaleMiddle AgedRenal Insufficiency, ChronicRisk FactorsBiomarkersCreatinine

Identifiers

PMID31700174
PMCPMC6858876
OpenAlexW2988194888

What OpenQuestion 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 OpenQuestion graph.