Evidence map›Paper›PMID 41313528›Full record

ReviewCurrent obesity reports2025

Mood Disorders, Metabolic Bariatric Surgery, and Weight Loss Pharmacotherapy: a Research Update.

Margherita Barbuti, Francesco Weiss, Giulio Perugi

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current obesity reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Margherita BarbutiPsychiatry 2 Unit, Department of Clinical and Experimental Medicine, University Hospital of Pisa, Via Savi 10, Pisa, 56126, Italy.
Francesco WeissPsychiatry 2 Unit, Department of Clinical and Experimental Medicine, University Hospital of Pisa, Via Savi 10, Pisa, 56126, Italy.
Giulio PerugiPsychiatry 2 Unit, Department of Clinical and Experimental Medicine, University Hospital of Pisa, Via Savi 10, Pisa, 56126, Italy. giulio.perugi@med.unipi.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewThis review explores the intricate and bidirectional relationship between mood disorders and obesity, focusing on the psychiatric implications of metabolic bariatric surgery and weight-loss pharmacotherapy. In particular, the review examines how these interventions impact psychiatric outcomes, identifying both benefits and risks. RECENT

findingsWhile metabolic bariatric surgery and incretin-based therapies improve metabolic health and, in some cases, mental well-being, they may also lead to psychiatric complications. Studies indicate increased risks of mood episodes, self-harm, and altered psychotropic drug metabolism post-surgery. Concerns have also emerged regarding glucagon like peptide-1 (GLP-1) receptor agonists and their potential link to depression and suicidality. Weight-loss interventions require thorough psychiatric assessment prior to treatment, as well as long-term psychiatric monitoring thereafter. Future research should prioritize longitudinal studies with standardized psychiatric assessments to refine risk stratification and optimize clinical outcomes. A multidisciplinary approach integrating endocrinology, psychiatry, and behavioral sciences is essential for improving both physical and mental health outcomes.

Indexed as

Anti-Obesity AgentsBariatric SurgeryMood DisordersObesityObesity, MorbidHumansWeight LossAnti-Obesity AgentsBariatric surgeryGLP-1 receptor agonists.Mood disordersObesitySuicidalityWeight-loss pharmacotherapy

Identifiers

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.