Evidence map›Paper›PMID 42490958›Full record

ArticleKidney international reports2026

The Impact of Non-AKI eGFR Variability on CKD Progression in Individuals With Type 2 Diabetes and Preserved Kidney Function.

Simona Hapca, Qinbo Yang, Sheyu Li, Stuart J McGurnaghan, Luke A K Blackbourn, Ewan R Pearson, Helen M Colhoun, Samira Bell

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Article in Kidney international reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Simona HapcaDivision of Computing Science and Mathematics, University of Stirling, Scotland, UK.
Qinbo YangDepartment of Nephrology, West China Hospital, Sichuan University, Chengdu, China.
Sheyu LiDepartment of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu, China.
Stuart J McGurnaghanDiabetes Informatics & Epidemiology Unit, MRC Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, UK.
Luke A K BlackbournDiabetes Informatics & Epidemiology Unit, MRC Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, UK.
Ewan R PearsonDivision of Molecular & Clinical Medicine, School of Medicine, University of Dundee, Dundee, UK.
Helen M ColhounDiabetes Informatics & Epidemiology Unit, MRC Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, UK.
Samira BellDivision of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Variability in estimated glomerular filtration rate (eGFR) has been associated with increased risks of mortality and chronic kidney disease (CKD) progression in people with type 2 diabetes mellitus (T2DM) and impaired kidney function. However, its significance in individuals with preserved kidney function remains unclear. Methods: In this nationwide retrospective population-based study of individuals with T2DM, eGFR variability was calculated by fitting a linear regression model to longitudinal data to estimate both the individual eGFR slope over the 5-year period as well as the variability in model residuals provided by the SD of the model residuals using longitudinal serum creatinine (SCr) measurements obtained during the first 5 years after diagnosis. Cox proportional hazards models were then applied to assess the association between eGFR variability and progression to stage G3b CKD among participants with preserved kidney function. Results: This study included 98,322 participants who had an eGFR > 60 ml/min per 1.73 m Conclusion: eGFR variability in the absence of acute kidney injury (AKI) is associated with CKD progression in individuals with T2DM and preserved kidney function.

Indexed as

chronic kidney diseasediabetesGFR variability

Identifiers

PMID42490958
PMCPMC13375920

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