Evidence map›Paper›PMID 37230946›Full record

ReviewNephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association2023

SGLT2i for evidence-based cardiorenal protection in diabetic and non-diabetic chronic kidney disease: a comprehensive review by EURECA-m and ERBP working groups of ERA.

Patrick B Mark, Pantelis Sarafidis, Robert Ekart, Charles J Ferro, Olga Balafa, Beatriz Fernandez-Fernandez, William G Herrington, Patrick Rossignol, Lucia Del Vecchio, Jose M Valdivielso and 4 more

Open access · hybridAbstract readReview
In one paragraph

Review in Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
12.1field-weighted citation impact, top 1% of its field
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

32 citing papers in PubMed, 1 synthesis or guideline pooled it, 60 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. SGLT2 Inhibitors in Cardiovascular-Kidney-Metabolic Syndrome: Drugs Unifying Heart, Kidney, and Metabolism Pharmacotherapy.American journal of cardiovascular drugs : drugs, devices, and other interventions · 2026
    Review
  4. Review
  5. Cardiovascular Pharmacotherapy and Glucose Metabolism: The Good, the Bad and the Unsightly.American journal of cardiovascular drugs : drugs, devices, and other interventions · 2026
    Review
  6. Review
  7. Article
  8. Review
  9. Article
  10. Review
  11. Review
  12. ABCDE to identify and prevent chronic kidney disease: a call to action.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2025
    Article
  13. Review
  14. Article
  15. Review
  16. Complement anaphylatoxins: Potential therapeutic target for diabetic kidney disease.Diabetic medicine : a journal of the British Diabetic Association · 2025
    Review
  17. Review
  18. Review
  19. Article
  20. Review
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

14 authors at 13 institutions in 8 countries.

Patrick B MarkSchool of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK.
Pantelis SarafidisDepartment of Nephrology, Hippokration Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece.
Robert EkartFaculty of Medicine, University of Maribor, Taborska 8, Maribor, Slovenia.
Charles J FerroRenal Unit, University Hospitals Birmingham and Institute of Cardiovascular Science, University of Birmingham, Birmingham, UK.
Olga BalafaDepartment of Nephrology, University Hospital of Ioannina, Ioannina, Greece.
Beatriz Fernandez-FernandezDivision of Nephrology and Hypertension, IIS-Fundación Jiménez Díaz-Universidad Autónoma Madrid. Spain, Spain.
William G HerringtonMedical Research Council Population Health Research Unit, Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Patrick RossignolUniversité de Lorraine, INSERM CIC-P 1433, CHRU de Nancy, INSERM U1116, F-CRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists), Nancy, France.
Lucia Del VecchioDepartment of Nephrology and Dialysis, ASST Lecco, Lecco, Italy.
Jose M ValdivielsoVascular and Renal Translational Research Group and UDETMA, IRBLleida, Lleida, Spain.
Francesca MallamaciCNR-IFC, Clinical Epidemiology and Physiopathology of Renal Diseases and Hypertension, Reggio Calabria, Italy.
Alberto OrtizDivision of Nephrology and Hypertension, IIS-Fundación Jiménez Díaz-Universidad Autónoma Madrid. Spain, Spain.
Ionut NistorFaculty of Medicine, University of Medicine and Pharmacy 'Grigore T. Popa', Iași, Romania.
Mario CozzolinoRenal Division, ASST Santi Paolo e Carlo, Department of Health Sciences, University of Milan, Milan, Italy.
Hospital Universitario Fundación Jiménez Díaz · ESAlessandro Manzoni Hospital · ITAristotle University of Thessaloniki · GRBiomedical Research Institute of Lleida · ESFrench Clinical Research Infrastructure Network · FRGrigore T. Popa University of Medicine and Pharmacy · ROIstituto di Fisiologia Clinica · ITMedical Research Council · GBUniversity Hospital of Ioannina · GRUniversity of Birmingham · GBUniversity of Glasgow · GBUniversity of Maribor · SIUniversity of Milan · IT

Funding

Medical Research Council MC_UU_00017/3Medical Research Council MR/R007764/1
6 · The paper itself

Abstract

Chronic kidney disease (CKD) is a major public health issue affecting an estimated 850 million people globally. The leading causes of CKD is diabetes and hypertension, which together account for >50% of patients with end-stage kidney disease. Progressive CKD leads to the requirement for kidney replacement therapy with transplantation or dialysis. In addition, CKD, is a risk factor for premature cardiovascular disease, particularly from structural heart disease and heart failure (HF). Until 2015, the mainstay of treatment to slow progression of both diabetic and many non-diabetic kidney diseases was blood pressure control and renin-angiotensin system inhibition; however, neither angiotensin-converting enzyme inhibitors (ACEIs) nor angiotensin receptor blockers (ARBs) reduced cardiovascular events and mortality in major trials in CKD. The emergence of cardiovascular and renal benefits observed with sodium-glucose cotransporter-2 inhibitors (SGLT2i) from clinical trials of their use as anti-hyperglycaemic agents has led to a revolution in cardiorenal protection for patients with diabetes. Subsequent clinical trials, notably DAPA-HF, EMPEROR, CREDENCE, DAPA-CKD and EMPA-KIDNEY have demonstrated their benefits in reducing risk of HF and progression to kidney failure in patients with HF and/or CKD. The cardiorenal benefits-on a relative scale-appear similar in patients with or without diabetes. Specialty societies' guidelines are continually adapting as trial data emerges to support increasingly wide use of SGLT2i. This consensus paper from EURECA-m and ERBP highlights the latest evidence and summarizes the guidelines for use of SGLT2i for cardiorenal protection focusing on benefits observed relevant to people with CKD.

Indexed as

Cardiovascular DiseasesDiabetes Mellitus, Type 2Heart FailureRenal Insufficiency, ChronicSodium-Glucose Transporter 2 InhibitorsAngiotensin-Converting Enzyme InhibitorsAngiotensin Receptor AntagonistsHumansRenal DialysisAngiotensin-Converting Enzyme InhibitorsAngiotensin Receptor AntagonistsSodium-Glucose Transporter 2 Inhibitorscardiorenal syndromecardiovascularchronic renal failurediabetic kidney diseaseheart failure

Identifiers

PMID37230946
PMCPMC10615631
OpenAlexW4378347616

What OpenQuestion holds

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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.