Evidence map›Paper›PMID 41886296›Full record

ArticleDiabetes/metabolism research and reviews2026

Not All GLP-1 Receptor Agonists Are Alike: Real-World Evidence of Differential Endocrine and Dermatologic Safety.

Nai Lee, Yun Kim

Abstract read
In one paragraph

Article in Diabetes/metabolism research and reviews, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

2 authors.

Nai LeeCollege of Pharmacy, Daegu Catholic University, Gyeongsan, Gyeongsangbuk-do, South Korea.
Yun KimCollege of Pharmacy, Daegu Catholic University, Gyeongsan, Gyeongsangbuk-do, South Korea.ORCID 0000-0002-9809-7351

Funding

Catholic University of DaeguGyeongsangbuk-do RISE Project 2025-RISE-15-107
6 · The paper itself

Abstract

aimsGlucagon-like peptide-1 receptor agonists (GLP-1 RAs) are widely used for metabolic disorders, but emerging safety concerns include alopecia and reproductive or endocrine-related adverse events (AEs). This study investigated the association between specific GLP-1 RAs and these endocrine-related AEs using a large-scale pharmacovigilance database. MATERIALS AND

methodsThis study analysed the U.S. FDA Adverse Event Reporting System (FAERS) data (Q2 2022-Q2 2025) for six GLP-1 Ras (exenatide, lixisenatide, liraglutide, dulaglutide, semaglutide, and tirzepatide) to identify alopecia- and reproductive or endocrine-related a AEs. Disproportionality analyses were conducted using crude and adjusted reporting odds ratios (cROR and aROR) from logistic regression controlling for potential confounding factors. Sensitivity analyses with positive and negative controls were used to validate the signal robustness.

resultsA total of 1276 alopecia-related and 759 reproductive or endocrine-related cases were identified. Semaglutide showed significant positive associations with alopecia (aROR 1.23 [1.11-1.35]) and reproductive/hormonal disorders, including polycystic ovary syndrome (aROR 6.59 [3.73-11.64]) and menstrual abnormalities. In contrast, dulaglutide and tirzepatide demonstrated negative associations for several reproductive outcomes (e.g., dysmenorrhoea, amenorrhoea, heavy menstrual bleeding), indicating lower reporting odds in this dataset. Sensitivity analyses using control drugs confirmed the consistency and specificity of these findings.

conclusionThis real-world pharmacovigilance study identified agent-specific differences in the endocrine and dermatologic safety profiles of GLP-1 RAs. While semaglutide exhibited disproportionate reporting for alopecia and hormonal imbalance, dulaglutide and tirzepatide showed lower or non-significant disproportionality signals for these events. These results highlight the need for personalised agent selection and continued pharmacovigilance to optimise long-term patient safety.

Indexed as

AlopeciaDiabetes Mellitus, Type 2Glucagon-Like Peptide-1 Receptor AgonistsHypoglycemic AgentsAdverse Drug Reaction Reporting SystemsExenatideFemaleFollow-Up StudiesGlucagon-Like PeptidesHumansImmunoglobulin Fc FragmentsLiraglutideMalePharmacovigilanceRecombinant Fusion ProteinsSemaglutidedulaglutideExenatideGlucagon-Like Peptide-1 Receptor AgonistsGlucagon-Like PeptidesHypoglycemic AgentsImmunoglobulin Fc FragmentsLiraglutideRecombinant Fusion ProteinsSemaglutideTirzepatidealopeciaFDA adverse event reporting systemGLP‐1 receptor agonistsreproductive or endocrine‐related adverse events

Identifiers

PMID41886296
PMCPMC13020769

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Texttitle and abstract
LicenceCC BY-NC
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Registered trials

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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.