Evidence Hub

Empagliflozin in the Absence of Diabetes: A Systematic Review of Its Anthropometric and Metabolic Effects in Humans and Animals

Farima Farsi, Dorsa Ghorban Sarvi, M. AbbasI, S. Hasani-Ranjbar

International Journal of Endocrinology, 2026

Abstract

Purpose: Obesity raises metabolic and cardiovascular risk and represents a major public health challenge. The sodium-glucose cotransport-2 inhibitor empagliflozin (EMPA) may improve metabolic parameters beyond glycemic control. This systematic review critically evaluated the effects of EMPA on anthropometric and metabolic outcomes in overweight or obese subjects without diabetes and identified key areas for future research.

Methods: This systematic review included studies identified through searches of five databases (Scopus, Web of Science, PubMed, Google Scholar, and the Cochrane Library) from January 2023 to May 2026. Following duplicate removal and PRISMA-guided screening, 27 studies were included (7 randomized controlled trials and 20 animal studies). Studies were excluded if they involved diabetic populations, lacked appropriate comparator groups, or did not meet predefined eligibility criteria. The Cochrane and SYRCLE tools were used to assess the quality of human and animal evidence, respectively.

Results: Animal studies primarily used EMPA doses of 8-30 mg/kg/day, whereas human trials employed fixed clinical doses of 10-12.5 mg daily. In human investigations, EMPA significantly lowered body weight with notable improvements in fasting glucose. Preclinical studies largely supported these findings and additionally demonstrated improvements in hepatic steatosis, lipid metabolism, and inflammatory markers. Proposed mechanisms included modulation of FGF21 signaling,…

How strong is the evidence?

Evidence Hub reads this as a systematic review, 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