Evidence Hub

Therapeutic Repositioning of SGLT2 Inhibitors Using Real-World Data: A Scoping Review of Emerging Indications and Rare Diseases

Felici F, D’Agnese S

2026

21 participants

Abstract

Abstract Background and Aims Sodium-glucose cotransporter-2 inhibitors (SGLT2i), initially approved for type 2 diabetes mellitus, have progressively emerged as cardio-renal protective agents. Beyond glycaemic control, evidence indicates that SGLT2i act as systemic endocrine-metabolic modulators, via pleiotropic mechanisms including NLRP3 inflammasome inhibition, ketone-driven metabolic reprogramming, HIF-2α-mediated erythropoietic effects, and uricosuric transporter activity. This scoping review maps Real-World Data (RWD)-based evidence on SGLT2i repositioning across these pathways and rare diseases. Methods A systematic search was conducted on PubMed and Scopus from inception to 31 May 2026, following PRISMA-ScR guidelines (OSF registration: 10.17605/OSF.IO/794CX). Eligibility followed a PCC framework (Population: any age/comorbidity; Concept: pleiotropic or off-label SGLT2i effects beyond approved cardio-renal indications; Context: real-world studies). Original peer-reviewed studies using RWD, including cohort studies and case series for rare diseases, were included. Methodological quality was assessed using the Newcastle-Ottawa Scale (NOS) and the Murad et al. tool. Due to clinical and methodological heterogeneity, a narrative synthesis was performed. Results Seventy-four studies (2017–2026) were included, 66% published in 2024–2026. Research was concentrated in Asia (27 studies, NHIRD-based) and North America (24 studies, mainly EHR/TriNetX-based), with Europe…

How strong is the evidence?

Evidence Hub reads this as a case series, done in people. Its evidence level is 5 of 5 (Very low · case / narrative / animal / in vitro / in silico). Case reports, narrative reviews, and animal, cell or computer-model studies give the weakest evidence for human health. Reported size: 21 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