Evidence Hub

Impact of diabetes on the effects of SGLT2 inhibitors on kidney outcomes: An updated drug/dose-dependent meta-analysis

Qian J, Xu Y

Clinical nephrology, 2026

98,516 participants · 1 citation

Abstract

Background: Sodium-glucose co-transporter-2 (SGLT2) inhibitors provide renal and cardiovascular benefits in diabetes, but their effects in non-diabetic populations remain unclear. This meta-analysis evaluates the renal outcomes of SGLT2 inhibitors vs. placebo, focusing on diabetes status, subgroup variations, and drug-specific effects.

Materials and methods: A systematic review of 31 randomized controlled trials (RCTs) (98,516 patients) was conducted. Studies including diabetic and non-diabetic patients were analyzed, with subgroup assessments based on diabetes status, drug type, dose, baseline estimated glomerular filtration rate (eGFR), chronic kidney disease (CKD) stage, and follow-up duration. Primary outcomes included kidney disease progression, while secondary outcomes encompassed renal adverse events, composite renal outcomes, acute kidney injury (AKI), diabetic ketoacidosis (DKA), and renal failure.

Results: SGLT2 inhibitors reduced progressive kidney disease risk in diabetic (OR = 0.64, 95% CI: 0.58 - 0.71) and non-diabetic patients (OR = 0.69, 95% CI: 0.57 - 0.83), with no effect modification by diabetes status (p = 0.49). Among diabetics, risk reductions were notable for canagliflozin 100 mg, dapagliflozin 10 mg, and empagliflozin 10-mg, particularly in patients with CKD stage 2 - 3 and baseline eGFR of 30 - 90 mL/min/1.73m2. Among non-diabetics, dapagliflozin and empagliflozin showed consistent benefit. No differences in renal adverse events were observed in…

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. Reported size: 98,516 participants or records.

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