Cited by 14Diabetes Treatment and ManagementHeart Failure Treatment and ManagementDiabetes, Cardiovascular Risks, and Lipoproteins

Comparing benefits from sodium-glucose cotransporter-2 inhibitors and glucagon-like peptide-1 receptor agonists in randomized clinical trials: a network meta-analysis

SABOURET, Pierre, BOCCHINO, Pier P., ANGELINI, Filippo, D’ASCENZO, Fabrizio, GALATI, Giuseppe, FYSEKIDIS, Marinos, DE FERRARI, Gaetano M., FISCHMAN, David L. +2 more·2023·Minerva Cardiology and Angiology

Abstract

INTRODUCTION: Glucagon-like peptide 1 receptor agonists (GLP1-RA) and sodium-glucose cotransporter-2 inhibitors (SGLT2i) were individually proven to reduce major adverse cardiovascular events (MACE) in type 2 diabetes mellitus (T2DM) patients, but the relative magnitude of benefits from these two drug classes is debated. We aimed to review current available data on GLP1-RA and SGLT2i in T2DM patients and compare their efficacy and safety in this population. EVIDENCE ACQUISITION: We systematically searched MEDLINE/PubMed, the Cochrane Library, Google Scholar, Embase, www.tctmd.com, www.clinicaltrials.gov, www.clinicaltrialresults.org, from inception to September 17, 2020 for randomized controlled trials (RCTs) comparing the effects of GLP1-RA vs. SGLT2i vs. optimal medical therapy (OMT) in adult T2DM patients. Three authors independently screened references and extracted data using a predefined data collection form. Outcomes were analyzed using an indirect comparison meta-analysis of aggregate study-level data. The primary combined efficacy outcome comprised cardiovascular death, nonfatal myocardial infarction (MI), or nonfatal stroke. Secondary efficacy outcomes included all-cause mortality, cardiovascular mortality, non-fatal MI, non-fatal stroke, heart failure hospitalizations (HFH), and worsening renal function (WRF). EVIDENCE SYNTHESIS: Eleven RCTs enrolling a total of 98572 patients were included; 56004 (57%) patients were derived from GLP1-RA RCTs and 42568 (43%) from SGLT2i RCTs. At a median follow-up of 3.0±1.3 years, compared with OMT, both GLP1-RA and SGLT2i similarly reduced the rate of the composite primary outcome (risk ratio [RR] 0.88; 95% confidence interval [95% CI] 0.83-0.93 and RR 0.88, 95% CI: 0.82-0.95, respectively) with no difference between the drug classes (RR 1.00, 95% CI: 0.92-1.10). Both classes similarly reduced MI rate, cardiovascular and all-cause mortality compared with OMT; stroke reduction was only observed with GLP1-RA with no difference in the indirect comparison with SGLT2i; conversely, only SGLT2i were effective in preventing HFH. Both GLP1-RA and SGLT2i were protective against WRF, with a major efficacy of SGLT2i in the indirect comparison. CONCLUSIONS: This meta-analysis report that GLP1-RA and SGLT2i reduced with a similar efficacy not only MACE as MI, but also cardiovascular mortality and all-cause mortality at a median 3-year follow-up. SGLT2i were more protective in HFH and WRF than GLP1RA. These new data highlight the efficacy of SGLT2i not only in HF and chronic kidney disease (CKD) but also in ischemic heart diseases (IHD), with a homogeneity among the class, whereas the results observed with GLP1-RA are heterogenous. These findings will help clinical's decisions to optimize therapeutic strategies for diabetic patients.

Integrity signals

Registry

Crossref · 10.23736/s2724-5683.22.05900-2

Cites

9 of 9 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
SABOURET, P., BOCCHINO, P. P., ANGELINI, F., D’ASCENZO, F., GALATI, G., FYSEKIDIS, M., DE FERRARI, G. M., FISCHMAN, D. L., BHATT, D. L., & BIONDI-ZOCCAI, G.
Affiliations
  • Sorbonne Université (FR)
  • Azienda Ospedaliera Citta' della Salute e della Scienza di Torino (IT)
  • IRCCS Ospedale San Raffaele (IT)
  • Hôpital Avicenne (FR)
  • Thomas Jefferson University (US)
  • Brigham and Women's Hospital (US)
  • Clinica Mediterranea (IT)
Corresponding author
SABOURET, Pierre
Venue
Minerva Cardiology and Angiology
Published
2023-03
Volume
71
Issue
2
Pages
199-207
ISSN
  • 2724-5683 (ISSN-L)
  • 2724-5772
OpenAlex
W4213441701
Cited by
14
References
9
Citations by year
2026: 1 · 2025: 2 · 2024: 3 · 2023: 8
FWCI
2.42
Type
journal article
Language
en
Open access
closed
Locations
  • Minerva Cardiology and Angiology (publishedVersion)
  • PubMed (publishedVersion)
  • Institutional Research Information System University of Turin (University of Turin) (submittedVersion)
Topics
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Treatment and Management
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Failure Treatment and Management
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
Keywords
GLP-1 receptor agonists, SGLT2 inhibitors, type 2 diabetes, major adverse cardiovascular events, cardiovascular mortality, myocardial infarction, stroke, heart failure hospitalization, renal function decline, drug safety, optimal medical therapy, comparative efficacy and safety, cardiovascular risk reduction, drug-drug interactions, adverse drug reactions
MeSH terms
Glucagon-Like Peptide-1 Receptor, Network Meta-Analysis, Glucagon-Like Peptide-1 Receptor Agonists, Adult, Diabetes Mellitus, Type 2, Glucose, Heart Failure, Humans, Myocardial Infarction, Sodium, Stroke, Sodium-Glucose Transporter 2

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review