Evidence mapPaperPMID 41203232Full record

SynthesisJAMA2026

SGLT2 Inhibitors and Kidney Outcomes by Glomerular Filtration Rate and Albuminuria: A Meta-Analysis.

Brendon L Neuen, Robert A Fletcher, Stefan D Anker, Deepak L Bhatt, Javed Butler, David Z I Cherney, Kieran F Docherty, Silvio E Inzucchi, Meg J Jardine, Kenneth W Mahaffey and 19 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in JAMA, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
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

38 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. [Progression inhibition in chronic kidney disease].Innere Medizin (Heidelberg, Germany) · 2026
    Review
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Review
  11. Observational
  12. Albuminuria: the missing therapeutic target in obesity care.International journal of obesity (2005) · 2026
    Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Meta-analyses overgeneralize SGLT2 inhibitor effectiveness in population with low albuminuria, no diabetes, no heart failure and no atherovascular heart disease.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2026
    Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

29 authors.

Brendon L NeuenThe George Institute for Global Health, University of New South Wales, Sydney, New South Wales, Australia.
Robert A FletcherThe George Institute for Global Health, University of New South Wales, Sydney, New South Wales, Australia.
Stefan D AnkerDepartment of Cardiology (CVK) of German Heart Center Charité, Institute of Health Center for Regenerative Therapies (BCRT), German Centre for Cardiovascular Research (DZHK) partner site Berlin, Charité Universitätsmedizin, Berlin, Germany.
Deepak L BhattMount Sinai Heart, New York, New York.
Javed ButlerBaylor Scott and White Research Institute, Temple, Texas.
David Z I CherneyToronto General Research Institute, University Health Network, University of Toronto, Toronto, Ontario, Canada.
Kieran F DochertySchool of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, United Kingdom.
Silvio E InzucchiYale University School of Medicine, New Haven, Connecticut.
Meg J JardineNHMRC Clinical Trials Centre, University of Sydney, Sydney, New South Wales, Australia.
Kenneth W MahaffeyStanford Center for Clinical Research, Department of Medicine, Stanford University, Stanford, California.
Finnian R McCauslandBrigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Darren K McGuireUniversity of Texas Southwestern Medical Center, Dallas.
John J V McMurraySchool of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, United Kingdom.
Bruce NealThe George Institute for Global Health, University of New South Wales, Sydney, New South Wales, Australia.
Milton PackerImperial College London, London, United Kingdom.
Siddharth M PatelTIMI Study Group, Division of Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Vlado PerkovicThe George Institute for Global Health, University of New South Wales, Sydney, New South Wales, Australia.
Marc S SabatineTIMI Study Group, Division of Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Rebecca J SardellRenal Studies Group, Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health (NDPH), University of Oxford, Oxford, United Kingdom.
Scott D SolomonBrigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Muthiah VaduganathanBrigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Christoph WannerRenal Studies Group, Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health (NDPH), University of Oxford, Oxford, United Kingdom.
David C WheelerDepartment of Renal Medicine, University College London, London, United Kingdom.
Faiez ZannadUniversité de Lorraine, Inserm and CHRU de Nancy, Vandœuvre-lès-Nancy, France.
Richard HaynesRenal Studies Group, Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health (NDPH), University of Oxford, Oxford, United Kingdom.
Natalie StaplinRenal Studies Group, Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health (NDPH), University of Oxford, Oxford, United Kingdom.
William G HerringtonRenal Studies Group, Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health (NDPH), University of Oxford, Oxford, United Kingdom.
Hiddo J L HeerspinkThe George Institute for Global Health, University of New South Wales, Sydney, New South Wales, Australia.
SGLT2 Inhibitor Meta-Analysis Cardio-Renal Trialists’ Consortium (SMART-C)

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Sodium-glucose cotransporter 2 (SGLT2) inhibitors reduce chronic kidney disease (CKD) progression in individuals with type 2 diabetes, CKD, or heart failure. However, their effects in those with stage 4 CKD or little to no albuminuria remain uncertain. Objective: To assess whether estimated glomerular filtration rate (eGFR) or degree of albuminuria, measured by urinary albumin to creatinine ratio (UACR), modifies the effects of SGLT2 inhibitors on kidney outcomes. Data Sources: SGLT2 inhibitor trials participating in the SGLT2 Inhibitor Meta-Analysis Cardio-Renal Trialists' Consortium (SMART-C). Study Selection: Randomized, double-blind, placebo-controlled trials within SMART-C evaluating an SGLT2 inhibitor with label indications for reducing CKD progression including at least 500 participants in each group with at least 6 months of follow-up. Data Extraction and Synthesis: Treatment effects in individual trials were pooled using inverse variance-weighted meta-analysis. Main Outcomes and Measures: CKD progression, defined as kidney failure, at least 50% reduction in eGFR, or death due to kidney failure. Other outcomes included annual rate of eGFR decline and kidney failure. Results: Among 70 361 participants (mean [SD] age, 64.8 [8.7] years; 24 595 [35.0%] females) in 10 randomized trials, 2314 (3.3%) experienced CKD progression and 988 (1.4%) reached kidney failure. SGLT2 inhibitors reduced the risk of CKD progression (25.4 vs 40.3 events per 1000 patient-years; hazard ratio [HR], 0.62 [95% CI, 0.57-0.68]), irrespective of baseline eGFR (HR of 0.61 [95% CI, 0.52-0.71] for eGFR ≥60 mL/min/1.73 m2; 0.57 [95% CI, 0.47-0.70] for eGFR of 45 to <60 mL/min/1.73 m2; 0.64 [95% CI, 0.54-0.75] for eGFR of 30 to <45 mL/min/1.73 m2; and 0.71 [95% CI, 0.60-0.83] for eGFR <30 mL/min/1.73 m2; P for trend = .16) and baseline albuminuria (HR of 0.58 [95% CI, 0.44-0.76] for albuminuria ≤30 mg/g; 0.74 [95% CI, 0.57-0.96] for >30-300 mg/g; and 0.57 [95% CI, 0.52-0.64] for more than 300 mg/g; P for trend = .49). Although the magnitude of protection varied, SGLT2 inhibitors reduced the annual rate of eGFR decline across all eGFR and UACR subgroups, including when participants with and without diabetes were analyzed separately. SGLT2 inhibitors also reduced the risk of kidney failure alone (HR, 0.66 [95% CI, 0.58-0.75]). Conclusions and Relevance: In this meta-analysis, SGLT2 inhibitors were found to lower the risk of CKD progression regardless of baseline eGFR or albuminuria, including in patients with stage 4 CKD or minimal albuminuria, supporting their routine use to improve kidney outcomes across the full spectrum of kidney function among patients with type 2 diabetes, CKD, or heart failure.

Indexed as

AlbuminuriaDiabetes Mellitus, Type 2Glomerular Filtration RateKidney Failure, ChronicRenal Insufficiency, ChronicSodium-Glucose Transporter 2 InhibitorsAgedAlbuminsCreatinineDisease ProgressionFemaleHeart FailureHumansMaleMiddle AgedRandomized Controlled Trials as TopicAlbuminsCreatinineSodium-Glucose Transporter 2 Inhibitors

Identifiers

PMID41203232
PMCPMC12595549

What Socratic holds

Textmetadata
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.