Evidence map›Paper›PMID 41926219›Full record

Trial reportJournal of the American Society of Nephrology : JASN2026

Association of Urinary EGF with Kidney Outcomes and Effects of Sodium-Glucose Cotransporter 2 Inhibition.

Erik Moedt, Akihiko Koshino, Niels Jongs, Wenjun Ju, Viji Nair, Matthias Kretzler, Michael K Hansen, Clare G Arnott, David C Wheeler, Peter Rossing and 6 more

Abstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Journal of the American Society of Nephrology : JASN, 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. Novel protein biomarkers for risk stratification and personalized medicine.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2026
    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

16 authors.

Erik MoedtDepartment of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.ORCID 0009-0003-3983-5136
Akihiko KoshinoDepartment of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.ORCID 0000-0002-9432-2427
Niels JongsDepartment of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.ORCID 0000-0002-0882-3656
Wenjun JuDivision of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan.ORCID 0000-0002-9136-8454
Viji NairDivision of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan.
Matthias KretzlerDivision of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan.ORCID 0000-0003-4064-0582
Michael K HansenJanssen Research and Development, LLC, Spring House, Pennsylvania.ORCID 0000-0002-0062-0520
Clare G ArnottThe George Institute for Global Health, Sydney, New South Wales, Australia.ORCID 0000-0001-9370-9913
David C WheelerDepartment of Renal Medicine, University College London, London, United Kingdom.ORCID 0000-0003-0745-3478
Peter RossingSteno Diabetes Center Copenhagen, Herlev, Denmark.ORCID 0000-0002-1531-4294
Steven G CocaIcahn School of Medicine at Mount Sinai, New York, New York.ORCID 0000-0002-0928-9168
Ann HammarstedtLate-Stage Development, Cardiovascular, Renal and Metabolism, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden.
Peter J GreasleyResearch and Early Development, Cardiovascular, Renal and Metabolism, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden.ORCID 0000-0002-2529-4477
Petter BjornstadDivision of Metabolism, Endocrinology and Nutrition, Department of Medicine, University of Washington School of Medicine, Seattle, Washington.ORCID 0000-0002-5160-2947
Stephan J L BakkerDepartment of Internal Medicine, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.ORCID 0000-0003-3356-6791
Hiddo J L HeerspinkDepartment of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.ORCID 0000-0002-3126-3730

Funding

HORIZON EUROPE Reforming and enhancing the European Research and Innovation system 101095146
6 · The paper itself

Abstract

key pointsLower urinary EGF levels, normalized to urinary creatinine, reflected impaired tubular health and were associated with higher kidney risk across CKD. Sodium-glucose cotransporter 2 inhibitors attenuated the decline in urinary EGF-creatinine ratio observed with placebo, supporting a role in maintaining tubular health. Early increases in urinary EGF-creatinine ratio were linked to lower kidney risk, adding prognostic value beyond albuminuria.

backgroundUrinary EGF is a marker of tubular repair capacity. Lower urinary EGF-creatinine ratio (uEGF/Cr) levels associate with kidney disease progression in patients with type 2 diabetes at early stages of CKD. In these patients, sodium-glucose cotransporter 2 inhibitors (SGLT2is) are associated with increased tubular EGF expression. In this study, we aimed to extend these findings to a broad CKD population with and without type 2 diabetes at various stages of CKD.

methodsWe measured EGF in stored urine samples at baseline and year 1 in participants from the Canagliflozin Cardiovascular Assessment Study (CANVAS), Canagliflozin and Renal Events in Diabetes with Established Nephropathy Clinical Evaluation (CREDENCE), and Dapagliflozin and Prevention of Adverse Outcomes in CKD (DAPA-CKD) clinical trials. Associations of baseline and longitudinal uEGF/Cr with the composite kidney outcome (sustained ≥40% eGFR decline, kidney failure, or kidney-related death) were assessed using multivariable Cox regression, and associations with annual eGFR decline using a two-slope linear mixed-effects model. Treatment effects of SGLT2i on uEGF/Cr over time were analyzed with analysis of covariance.

resultsIn participants with type 2 diabetes from the CANVAS and CREDENCE trials ( N =5978), higher baseline uEGF/Cr was associated with a lower risk of the composite kidney outcome (hazard ratio per two-fold higher uEGF/Cr, 0.87 [95% confidence interval, 0.80 to 0.94]). SGLT2i attenuated the decline in uEGF/Cr over 1 year compared with placebo by 6.7% (95% confidence interval, 2.5 to 10.8). Increases in uEGF/Cr from baseline to year 1 were independently associated with a lower risk of the kidney outcome, even after accounting for 1-year changes in albuminuria, eGFR, and other clinical variables. Replication analyses showed similar results in the DAPA-CKD trial ( N =2450), with consistent findings in participants with and without diabetes.

conclusionsThese results extend previous findings, supporting uEGF/Cr as a robust, independent biomarker of tubular health and kidney risk across diverse CKD populations. SGLT2i attenuated uEGF/Cr decline, and early changes in uEGF/Cr provided prognostic information beyond albuminuria.

Indexed as

CanagliflozinDiabetes Mellitus, Type 2Diabetic NephropathiesEpidermal Growth FactorRenal Insufficiency, ChronicSodium-Glucose Transporter 2 InhibitorsAgedBenzhydryl CompoundsBiomarkersCreatinineDisease ProgressionFemaleGlucosidesHumansMaleMiddle AgedBenzhydryl CompoundsBiomarkersCanagliflozinCreatininedapagliflozinEpidermal Growth FactorGlucosidesSodium-Glucose Transporter 2 InhibitorsbiomarkersCKDdiabetic kidney diseaseEGFSGLT2 inhibitorstubule cells

Identifiers

PMID41926219
PMCPMC13641454

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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.