Evidence map›Paper›PMID 41240096›Full record

ArticlePediatric nephrology (Berlin, Germany)2026

Which glomerular filtration rate estimation equations should be used in youth with type 1 diabetes?

Radhe Shantha Kumar, R Neil Dalton, M Loredana Marcovecchio

Abstract readComparative Study
In one paragraph

Article in Pediatric nephrology (Berlin, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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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

3 authors.

Radhe Shantha KumarDepartment of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK.
R Neil DaltonEvelina London Children's Hospital, London, UK.
M Loredana MarcovecchioDepartment of Paediatrics, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK. mlm45@medschl.cam.ac.uk.ORCID http://orcid.org/0000-0002-4415-316X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiabetic kidney disease (DKD) is the primary cause of kidney failure in type 1 diabetes (T1D). Early identification of subclinical DKD is based on albuminuria and glomerular filtration rate (GFR). However, no GFR equations have been validated in youth with T1D. This study evaluates the performance of GFR equations in youth with T1D.

methodsWe compared a direct measure of GFR (mGFR) via plasma clearance of exogenous inulin, with estimated GFR (eGFR). eGFR was calculated with the following equations: Full-Age Spectrum (FAS-height and FAS-age); revised Lund-Malmö (LM-Rev); European Kidney Function Consortium (EKFC); Chronic Kidney Disease Epidemiology Collaboration, 2009 (CKD-EPI 2009); CKD-EPI 2021 (revised CKD-EPI 2009 without race adjustment); CKD-EPI40 (revised CKD-EPI 2021 with age-adjusted creatinine); Chronic Kidney Disease in Children (CKiD); CKiD Under 25 (sex-dependent); CKiD Under 25 (age- and sex-dependent); and Improving Renal Complications in Adolescents with Type 2 Diabetes through Research (iCARE). Bland-Altman analysis estimated performance (bias and accuracy (P10 and P30)).

resultsIn total, 141 children and adolescents at a mean age of 13.5 ± 3.3 years (range 6.2-18.5) and diabetes duration 5.7 ± 1.6 years were included. Their mean serum creatinine was 45.6 ± 12.1 μmol/L (0.52 ± 0.14 mg/dL) and mGFR 142.3 ± 25.0 mL/min/1.73 m

conclusionsSubgroups of children and adolescents with T1D may benefit from different eGFR equations for accurate subclinical DKD evaluation.

Indexed as

Diabetes Mellitus, Type 1Diabetic NephropathiesGlomerular Filtration RateAdolescentAlbuminuriaChildCreatinineFemaleHumansInulinMaleRenal Insufficiency, ChronicCreatinineInulinEquationsGlomerular filtration rateKidney diseasePerformanceType 1 diabetesYouth

Identifiers

PMID41240096
PMCPMC12852128

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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.