Evidence map›Paper›PMID 41856526›Full record

ArticleBMJ (Clinical research ed.)2026

Accuracy of glomerular filtration rate estimation based on creatinine and cystatin C for monitoring moderate chronic kidney disease in adults: prospective, longitudinal cohort study.

Katie Scandrett, Alice J Sitch, Jonathan Barratt, Elizabeth A Brettell, Paul Cockwell, R Neil Dalton, Jonathan James Deeks, Gillian Eaglestone, Philip A Kalra, Kamlesh Khunti and 12 more

Abstract readMulticenter Study
In one paragraph

Article in BMJ (Clinical research ed.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

22 authors.

Katie ScandrettDepartment of Applied Health Sciences, University of Birmingham, Birmingham, UK.
Alice J SitchDepartment of Applied Health Sciences, University of Birmingham, Birmingham, UK.
Jonathan BarrattDepartment of Cardiovascular Sciences, University of Leicester, Leicester, UK.
Elizabeth A BrettellBirmingham Clinical Trials Unit, Department of Applied Health Sciences, University of Birmingham, Birmingham, UK.
Paul CockwellRenal Medicine, Queen Elizabeth Hospital Birmingham, Birmingham, UK.
R Neil DaltonDepartment of Paediatrics, Guy's and St Thomas's NHS Foundation Trust, London, UK.
Jonathan James DeeksDepartment of Applied Health Sciences, University of Birmingham, Birmingham, UK.
Gillian EaglestoneKent Kidney Care Centre, East Kent Hospitals University NHS Foundation Trust, Canterbury, Kent, UK.
Philip A KalraDepartment of Renal Medicine, Salford Royal Hospital, Northern Care Alliance NHS Foundation Trust, Salford, UK.
Kamlesh KhuntiDiabetes Research Centre, University of Leicester, Leicester, UK.
Fiona C LoudKidney Care UK, Alton, UK.
Ryan OttridgeBirmingham Clinical Trials Unit, Department of Applied Health Sciences, University of Birmingham, Birmingham, UK.
Tracy Pellatt-HigginsCentre for Health Services Studies, University of Kent, Canterbury, UK.
Aisling PotterClinical Biochemistry, East Kent Hospitals University NHS Foundation Trust, Canterbury CT1 3NG, UK.
Ceri RoweClinical Biochemistry, East Kent Hospitals University NHS Foundation Trust, Canterbury CT1 3NG, UK.
Claire C SharpeSchool of Medicine, University of Nottingham, Nottingham, UK.
Bethany ShinkinsAcademic Unit of Health Economics, Leeds Institute of Health Sciences, University of Leeds, Leeds, UK.
Alison SmithAcademic Unit of Health Economics, Leeds Institute of Health Sciences, University of Leeds, Leeds, UK.
Paul E StevensKent Kidney Care Centre, East Kent Hospitals University NHS Foundation Trust, Canterbury, Kent, UK.
Andrew J SuttonAcademic Unit of Health Economics, Leeds Institute of Health Sciences, University of Leeds, Leeds, UK.
Maarten W TaalDepartment of Renal Medicine, University Hospitals of Derby and Burton NHS Foundation Trust, Derby, UK.
Edmund J LambClinical Biochemistry, East Kent Hospitals University NHS Foundation Trust, Canterbury CT1 3NG, UK elamb@nhs.net.ORCID 0000-0002-5154-7351

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo provide evidence on the longitudinal accuracy of glomerular filtration rate (GFR) estimating equations that include creatinine and cystatin C to monitor patients with moderate chronic kidney disease.

designProspective, longitudinal, cohort study.

settingPrimary, secondary, and tertiary care across six centres in England, 1 April 2014 to 31 December 2017.

participants1229 adults (≥18 years) with moderate chronic kidney disease (creatinine estimated GFR of 30-59 mL/min/1.73 m

main outcome measuresAbility of estimating equations to monitor GFR over three years, with slope deviations from reference measured GFR (iohexol clearance) within ±3 mL/min/1.73 m

resultsAfter three years, 875 participants had measured and estimated GFR data recorded at the start and end of the study and comprised the study cohort. Median measured GFR decreased from 48.1 mL/min/1.73 m

conclusionsUnderestimation of the reduction in GFR by estimated GFR requires further investigation. Equations that included both creatinine and cystatin C more accurately monitored change in measured GFR than equations based on one biomarker. Increased use of combined biomarker equations in clinical practice could improve disease monitoring and potentially clinical care. STUDY REGISTRATION: ISRCTN registry ISRCTN42955626.

Indexed as

CreatinineCystatin CGlomerular Filtration RateRenal Insufficiency, ChronicAdultAgedBiomarkersDisease ProgressionEnglandFemaleHumansLongitudinal StudiesMaleMiddle AgedProspective StudiesBiomarkersCreatinineCystatin C

Identifiers

PMID41856526
PMCPMC13000885

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.