Evidence map›Paper›PMID 39103719›Full record

ArticleDiabetologia2024

Association of glucagon-like peptide-1 receptor agonists with suicidal ideation and self-injury in individuals with diabetes and obesity: a propensity-weighted, population-based cohort study.

Isabel Hurtado, Celia Robles, Salvador Peiró, Aníbal García-Sempere, Gabriel Sanfélix-Gimeno

Abstract read
In one paragraph

Article in Diabetologia, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
–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

25 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

5 authors.

Isabel HurtadoHealth Services Research & Pharmacoepidemiology Unit, Foundation for the Promotion of Health and Biomedical Research of Valencia Region, Fisabio, Valencia, Spain.
Celia RoblesHealth Services Research & Pharmacoepidemiology Unit, Foundation for the Promotion of Health and Biomedical Research of Valencia Region, Fisabio, Valencia, Spain.
Salvador PeiróHealth Services Research & Pharmacoepidemiology Unit, Foundation for the Promotion of Health and Biomedical Research of Valencia Region, Fisabio, Valencia, Spain.
Aníbal García-SempereHealth Services Research & Pharmacoepidemiology Unit, Foundation for the Promotion of Health and Biomedical Research of Valencia Region, Fisabio, Valencia, Spain. anibal.garcia@fisabio.es.ORCID http://orcid.org/0000-0002-4313-3976
Gabriel Sanfélix-GimenoHealth Services Research & Pharmacoepidemiology Unit, Foundation for the Promotion of Health and Biomedical Research of Valencia Region, Fisabio, Valencia, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aims/hypothesisRegulators worldwide are reviewing safety data on glucagon-like peptide-1 receptor agonists (GLP-1RA), following reports by the Icelandic Medicines Agency in July 2023 of suicidal ideation and self-injury (SIS) in individuals taking liraglutide and semaglutide. We aimed to assess the risk of SIS in new users of GLP-1RA when compared with sodium-glucose cotransporter 2 inhibitors (SGLT-2i) users, prescribed to treat type 2 diabetes in individuals with obesity.

methodsThis is a cohort study combining several population-wide databases and covering a Spanish population of five million inhabitants, including all adults with obesity who initiated treatment with either GLP-1RA or SGLT-2i for type 2 diabetes from 2015 to 2021. To estimate the comparative effect of GLP-1RA on the risk of SIS, we employed a new user, active comparator design and we carried out multivariable Cox regression modelling with inverse probability of treatment weighting (IPTW) based on propensity scores. We performed several stratified and sensitivity analyses.

resultsWe included 3040 patients initiating treatment with GLP-1RA and 11,627 with SGLT-2i. When compared with patients treated with SGLT-2i, those in the GLP-1RA group were younger (55 vs 60 years old, p<0.001), had more anxiety (49.4% vs 41.5%, p<0.001), sleep disorders (43.2% vs 34.1%, p<0.001) and depression (24.4% vs 19.0%, p<0.001), and were more obese (35.1% of individuals with BMI ≥40 vs 15.1%, p<0.001). After propensity score weighting, standardised mean differences between groups were <0.1 for all covariates, showing adequate balance between groups at baseline after adjustment. In the main per-protocol analyses we found no evidence that GLP-1RA increased the incidence of SIS (HR 1.04; 95% CI 0.35, 3.14). Intention-to-treat analyses resulted in an HR of 1.36 (95% CI 0.51, 3.61). In analyses excluding individuals with no BMI information and using imputation for BMI missing values, respective HRs were 0.89 (95% CI 0.26, 3.14) and 1.29 (95% CI 0.42, 3.92). Stratified analyses showed no differences between subgroups. CONCLUSIONS/

interpretationOur findings do not support an increased risk of SIS when taking GLP-1RA in individuals with type 2 diabetes and obesity; however, the rarity of SIS events and the wide uncertainty of effect size (although null, effect may be compatible with a risk as high as threefold) calls for a cautious interpretation of our results. Further studies, including final evaluations from regulatory bodies, are called for to discard a causal link between GLP-1RA and suicidality.

Indexed as

Diabetes Mellitus, Type 2Glucagon-Like Peptide-1 Receptor AgonistsHypoglycemic AgentsObesitySelf-Injurious BehaviorSuicidal IdeationAdultAgedCohort StudiesFemaleHumansLiraglutideMaleMiddle AgedPropensity ScoreGlucagon-Like Peptide-1 Receptor AgonistsHypoglycemic AgentsLiraglutideCohort studyDiabetesGLP-1RAGlucose-lowering drugsObesitySelf-injurySGLT-2iSuicidal ideation

Identifiers

PMID39103719
PMCPMC11519213

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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.