Evidence Hub

Effect of SGLT2 inhibitors on heart failure outcomes in patients with and without diabetes: A systematic review and meta-analysis of randomized controlled trials

Bafail DA, Alhalees NH

Experimental and therapeutic medicine, 2026

Abstract

Heart failure (HF) is a debilitating condition with high morbidity and mortality rates worldwide. Sodium-glucose cotransporter 2 inhibitors (SGLT2i) exhibit cardiovascular (CV) and renal protective effects beyond glucose lowering, and may serve a role in managing HF across numerous patient populations, including non-diabetics. Therefore, the present systematic review and meta-analysis aimed to evaluate the efficacy of SGLT2i in reducing HF hospitalizations, CV mortality and adverse events in patients with and without type 2 diabetes mellitus. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020 guidelines, comprehensive literature searches were conducted across PubMed, Scopus, Web of Science and Cochrane Central databases up to May 2025. Randomized controlled trials (RCTs; phases II-IV) enrolling adults with HF, irrespective of ejection fraction or diabetes status, comparing SGLT2i with placebo or standard-of-care were included in the present study. Outcomes analyzed encompassed HF hospitalizations, CV and all-cause mortality, adverse events and patient-reported quality of life measures. Meta-analysis was performed with RevMan 5.4 using a random-effects model. Data from 28 RCTs, including numerous high-quality trials, consistently demonstrated that SGLT2i significantly reduced the risk of first and total hospitalization for HF by 24% [odds ratio (OR)=0.76; 95% CI: 0.64-0.91; P=0.002; I²=0%] and 33% (OR=0.67; 95% CI: 0.63-0.72; P2=88%) and 24%…

How strong is the evidence?

Evidence Hub reads this as a meta-analysis, done in people. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free