Evidence map›Paper›PMID 41586348›Full record

ArticleBMJ medicine2026

Test accuracy of glomerular filtration rate estimation with creatinine and cystatin C in adults with moderate chronic kidney disease: prospective cohort study.

Edmund J Lamb, Jonathan Barratt, Elizabeth Ann Brettell, Paul Cockwell, R Neil Dalton, Jonathan James Deeks, Gillian Eaglestone, Philip Kalra, Kamlesh Khunti, Fiona C Loud and 13 more

Abstract read
In one paragraph

Article in BMJ medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. 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

23 authors.

Edmund J LambClinical Biochemistry, East Kent Hospitals University NHS Foundation Trust, Canterbury, UK.ORCID https://orcid.org/0000-0002-5154-7351
Jonathan BarrattDepartment of Cardiovascular Sciences, University of Leicester, Leicester, UK.ORCID https://orcid.org/0000-0002-9063-7229
Elizabeth Ann BrettellBirmingham Clinical Trials Unit, School of Health Sciences, University of Birmingham, Birmingham, UK.ORCID https://orcid.org/0000-0002-0669-3085
Paul CockwellRenal Medicine, Queen Elizabeth Hospital, Birmingham, UK.ORCID https://orcid.org/0000-0003-1975-266X
R Neil DaltonPaediatrics, Guy's and St Thomas' NHS Foundation Trust, London, UK.ORCID https://orcid.org/0000-0001-9201-5266
Jonathan James DeeksBirmingham Clinical Trials Unit, School of Health Sciences, University of Birmingham, Birmingham, UK.ORCID https://orcid.org/0000-0002-8850-1971
Gillian EaglestoneKent Kidney Care Centre, East Kent Hospitals University NHS Foundation Trust, Canterbury, UK.ORCID https://orcid.org/0000-0001-9860-8679
Philip KalraDepartment of Renal Medicine, Salford Royal Hospital, Northern Care Alliance NHS Foundation Trust, Salford, UK.ORCID https://orcid.org/0000-0001-7652-1572
Kamlesh KhuntiDiabetes Research Centre, University of Leicester, Leicester, UK.ORCID https://orcid.org/0000-0003-2343-7099
Fiona C LoudKidney Care UK, Alton, UK.ORCID https://orcid.org/0000-0001-7706-5396
Phoebe Amelie MeadTest and Prediction Research Group, Department of Applied Health Sciences, University of Birmingham, Birmingham, UK.ORCID https://orcid.org/0009-0001-8382-2426
Ryan OttridgeBirmingham Clinical Trials Unit, School of Health Sciences, University of Birmingham, Birmingham, UK.ORCID https://orcid.org/0000-0002-8685-2145
Tracy Pellatt-HigginsCentre for Health Services Studies, University of Kent, Canterbury, UK.ORCID https://orcid.org/0000-0002-2543-461X
Aisling PotterClinical Biochemistry, East Kent Hospitals University NHS Foundation Trust, Canterbury, UK.ORCID https://orcid.org/0000-0003-4366-1039
Ceri RoweClinical Biochemistry, East Kent Hospitals University NHS Foundation Trust, Canterbury, UK.ORCID https://orcid.org/0000-0002-6150-1816
Katie ScandrettTest and Prediction Research Group, Department of Applied Health Sciences, University of Birmingham, Birmingham, UK.ORCID https://orcid.org/0000-0001-6111-2805
Claire SharpeSchool of Medicine, University of Nottingham, Nottingham, UK.ORCID https://orcid.org/0000-0003-1704-8492
Bethany ShinkinsAcademic Unit of Health Economics, Leeds Institute of Health Sciences, University of Leeds, Leeds, UK.ORCID https://orcid.org/0000-0001-5350-1018
Alice J SitchTest and Prediction Research Group, Department of Applied Health Sciences, University of Birmingham, Birmingham, UK.
Alison SmithAcademic Unit of Health Economics, Leeds Institute of Health Sciences, University of Leeds, Leeds, UK.ORCID https://orcid.org/0000-0001-7709-1869
Paul E StevensKent Kidney Care Centre, East Kent Hospitals University NHS Foundation Trust, Canterbury, UK.ORCID https://orcid.org/0000-0001-7606-0649
Andrew J SuttonAcademic Unit of Health Economics, Leeds Institute of Health Sciences, University of Leeds, Leeds, UK.
Maarten TaalRenal Medicine, University Hospitals of Derby and Burton NHS Foundation Trust, Derby, UK.ORCID https://orcid.org/0000-0002-9065-212X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To study the performance of two contemporary sets of estimating equations for glomerular filtration rate, published by CKD-EPI (Chronic Kidney Disease Epidemiology Collaboration) and EKFC (European Kidney Function Consortium) that include one (creatinine or cystatin C only) and combined (creatinine and cystatin C) biomarkers, to assess their accuracy in a population with moderate chronic kidney disease. Design: Prospective cohort study. Setting: Primary, secondary, and tertiary care in six centres in England. Participants were recruited from April 2014 to January 2017. Participants: 1167 adults, aged ≥18 years, with moderate chronic kidney disease (estimated glomerular filtration rate 30-59 mL/min/1.73 m Main outcome measures: Accuracy of estimating equations CKD-EPI Results: Median age was 67.5 years, 58.3% of patients were men, 86.9% were white participants, and 27.8% had diabetes. Median measured glomerular filtration rate was 47.0 mL/min/1.73 m Conclusions: The CKD-EPI

Indexed as

BiochemistryDiagnostic tests, routineKidney failure, chronicNephrologyPathologyPrimary health care

Identifiers

PMID41586348
PMCPMC12829397

What Socratic 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 Socratic graph.