Observational studyFrontiers in endocrinology2026
Low baseline HbA1c and reduced eGFR are associated with relatively unfavorable body recomposition after SGLT2 inhibitor therapy in type 2 diabetes.
Observational study in Frontiers in endocrinology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aims: Sodium-glucose cotransporter 2 inhibitors (SGLT2i) and glucagon-like peptide-1 receptor agonists (GLP-1RAs) improve glycemic control and promote weight loss, but their effects on the relative balance between skeletal muscle and fat mass remain incompletely understood. This study examined treatment-associated body composition changes in patients with type 2 diabetes mellitus (T2DM), focusing on muscle-to-fat balance. Methods: In this multicenter retrospective cohort study, we analyzed body composition changes 12 months after initiation of SGLT2i (n = 36), GLP-1RA (n = 17), or GLP-1RA add-on to SGLT2i therapy (n = 20). Changes in appendicular skeletal muscle mass (ΔASM) and body fat mass (ΔBFM) were assessed using bioelectrical impedance analysis. The Body Recomposition Score (BRS) was defined as ΔASM - ΔBFM and used as an exploratory index of the relative balance between muscle and fat mass changes; BRS < 0 was operationally defined as indicating relatively unfavorable body recomposition. An independent external cohort of patients with T2DM (n = 148) was used for external assessment. Results: ΔBFM and ΔASM were positively correlated with changes in body weight (ΔBW) in all treatment groups. However, ΔASM and ΔBFM were positively correlated only in the GLP-1RA group, whereas no such correlation was observed in the SGLT2i or GLP-1RA add-on to SGLT2i groups, suggesting interindividual heterogeneity in muscle-to-fat balance changes. In the SGLT2i group, BRS was positively correlated with baseline HbA1c (r = 0.36, p = 0.029) and estimated glomerular filtration rate (eGFR; r = 0.34, p = 0.040). No baseline variables correlated significantly with BRS in the other groups. Exploratory receiver operating characteristic analyses identified Youden index-derived cut-offs for discriminating BRS < 0 in the SGLT2i group: 6.6% for baseline HbA1c and 65 mL/min/1.73 m Conclusions: Lower baseline HbA1c and reduced eGFR were associated with lower BRS after SGLT2i therapy in patients with T2DM. These exploratory findings support the importance of individualized pharmacotherapy for type 2 diabetes with consideration of muscle-to-fat balance. Clinical trial registration: https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000055239, identifier UMIN000048469; https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000055242, identifier UMIN000048471.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.