Evidence mapPaperPMID 41011082Full record

ReviewMedicina (Kaunas, Lithuania)2025

Impact of Incretin-Based Therapy on Skeletal Muscle Health.

Andrijana Koceva, Andrej Janež, Mojca Jensterle

Abstract readReview
In one paragraph

Review in Medicina (Kaunas, Lithuania), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Andrijana KocevaDepartment of Endocrinology and Diabetology, University Medical Center Maribor, 2000 Maribor, Slovenia.
Andrej JanežDepartment of Endocrinology, Diabetes and Metabolic Diseases, University Medical Center Ljubljana, 1000 Ljubljana, Slovenia.ORCID 0000-0002-6594-5254
Mojca JensterleDepartment of Endocrinology, Diabetes and Metabolic Diseases, University Medical Center Ljubljana, 1000 Ljubljana, Slovenia.ORCID 0000-0002-8861-8803

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Skeletal muscle is the largest insulin-sensitive tissue in the human body, playing a crucial role in glucose homeostasis, body mobility and overall metabolic health. In obesity and type 2 diabetes (T2D), skeletal muscle undergoes structural, functional, and metabolic alterations, including reduced muscle mass, impaired contractile function, increased myosteatosis, mitochondrial dysfunction, and chronic low-grade inflammation. Incretin-based therapies such as glucagon-like peptide-1 receptor agonists (GLP-1 RAs) or dual GLP-1/glucose-dependent insulinotropic polypeptide (GIP) RAs are highly effective treatments for T2D and obesity, producing substantial weight loss. While clinical trials suggest proportional loss of fat and lean mass when using incretin-based therapies, emerging preclinical and translational data indicate potential muscle-specific beneficial effects such as attenuation of atrophy, improved myogenesis, enhanced mitochondrial function and reduced myosteatosis. This review comprehensively summarizes the current preclinical and clinical evidence on the impact of incretin-based therapies on skeletal muscle mass, composition, metabolism, and performance, focusing on mechanistic insights from animal models and translational findings from human studies.

Indexed as

IncretinsMuscle, SkeletalAnimalsDiabetes Mellitus, Type 2Glucagon-Like Peptide-1 Receptor AgonistsHumansObesityGlucagon-Like Peptide-1 Receptor AgonistsIncretinsincretin-based treatmentliraglutidemuscle functionmuscle qualityobesitysemaglutidetirzepatide

Identifiers

PMID41011082
PMCPMC12471476

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.