Evidence map›Paper›PMID 41461139›Full record

SynthesisBritish journal of clinical pharmacology2026

Risk of gastrointestinal bleeding by specific SSRIs and SNRIs: A systematic review and meta-analysis.

Ainhoa Gomez-Lumbreras, Abdelrahman G Tawfik, Guilherme Del Fiol, Kensaku Kawamoto, Thomas Reese, Katy Trinkley, Aubrey Jones, James Mitchell, Daniel C Malone

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in British journal of clinical pharmacology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Observational
  5. Review
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

9 authors.

Ainhoa Gomez-LumbrerasDepartment of Pharmacotherapy, College of Pharmacy, University of Utah, Salt Lake City, Utah, USA.ORCID https://orcid.org/0000-0002-3916-0402
Abdelrahman G TawfikDepartment of Pharmacotherapy, College of Pharmacy, University of Utah, Salt Lake City, Utah, USA.ORCID https://orcid.org/0000-0002-4939-9353
Guilherme Del FiolDepartment of Biomedical Informatics, School of Medicine, University of Utah, Salt Lake City, Utah, USA.ORCID https://orcid.org/0000-0001-9954-6799
Kensaku KawamotoDepartment of Biomedical Informatics, School of Medicine, University of Utah, Salt Lake City, Utah, USA.ORCID https://orcid.org/0000-0003-4282-9338
Thomas ReeseDepartment of Biomedical Informatics, Vanderbilt University, Nashville, Tennessee, USA.ORCID https://orcid.org/0000-0002-1081-1670
Katy TrinkleySchool of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.ORCID https://orcid.org/0000-0003-2041-7404
Aubrey JonesDepartment of Pharmacotherapy, College of Pharmacy, University of Utah, Salt Lake City, Utah, USA.
James MitchellSchool of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.ORCID https://orcid.org/0000-0001-6051-2567
Daniel C MaloneDepartment of Pharmacotherapy, College of Pharmacy, University of Utah, Salt Lake City, Utah, USA.ORCID https://orcid.org/0000-0002-5006-9394

Funding

Personalizing Clinical Decision Support for Heart Failure Treatment to Clinicians' NeedsK23HL161352 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI Katy E Trinkley · 2022 to 2026
$869k
AHRQ HHS U18HS029300NHLBI NIH HHS K23 HL161352
6 · The paper itself

Abstract

aimThe purpose of this study is to estimate the risk of gastrointestinal bleeding (GIB) by selective serotonin reuptake inhibitors (SSRIs) and serotonin-norepinephrine reuptake inhibitors (SNRIs) individual agents.

methodsA systematic review was conducted for each unique antidepressant (i.e. SSRI: citalopram, escitalopram, fluoxetine, fluvoxamine, paroxetine, and sertraline; and SNRIs: desvenlafaxine, venlafaxine, and duloxetine) combined with search terms for GIB in PubMed and EMBASE from inception to October 2025. Articles including results on specific antidepressants and GIB risk were included.

resultsFrom a total of 1218 identified publications, 20 studies were included and analysed using a random-effect meta-analysis. Twelve studies (60%) used a case-control design, three (15%) a cohort study design, one (5%) a case cross-over, one (5%) used both case-control and cross-over designs and three (15%) were randomized control trials (RCTs). Studies sample sizes ranged from 666 235 from a Medicaid population to 1280 from 43 hospitals participating in a RCT. Fluoxetine had the most studies providing evidence (19 studies) and fluvoxamine and duloxetine had the least (five studies). Each antidepressant showed an increased risk of GIB. Venlafaxine had the highest estimated risk (OR 1.50, 95% CI 1.32-1.70), followed by citalopram (OR 1.38, 95% CI 1.17-1.62) and fluoxetine (OR 1.38, 95% CI 1.26-1.51). Paroxetine had the lowest GIB risk (OR 1.31, 95% CI 1.07-1.62).

conclusionGIB is an uncommon adverse event, but this analysis demonstrates that the risk of GIB is elevated for commonly used SSRI/SNRI products, highlighting the relevance for those patients with an increased risk of GIB.

Indexed as

Gastrointestinal HemorrhageSelective Serotonin Reuptake InhibitorsSerotonin and Noradrenaline Reuptake InhibitorsAntidepressive AgentsCase-Control StudiesHumansRandomized Controlled Trials as TopicRisk AssessmentRisk FactorsAntidepressive AgentsSelective Serotonin Reuptake InhibitorsSerotonin and Noradrenaline Reuptake Inhibitorsantidepressive agentsgastrointestinal haemorrhageselective serotonin reuptake inhibitorsserotonin and noradrenaline reuptake inhibitors

Identifiers

PMID41461139
PMCPMC12930022

What OpenQuestion holds

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LicenceCC BY
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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.