Evidence map›Paper›PMID 31577342›Full record

SynthesisJAMA psychiatry2019

Association of Antidepressant Use With Adverse Health Outcomes: A Systematic Umbrella Review.

Elena Dragioti, Marco Solmi, Angela Favaro, Paolo Fusar-Poli, Paola Dazzan, Trevor Thompson, Brendon Stubbs, Joseph Firth, Michele Fornaro, Dimitrios Tsartsalis and 7 more

Erratum issuedOpen access · bronzeAbstract readSystematic Review
In one paragraph

Synthesis in JAMA psychiatry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 78 papers, 30 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
78citing papers in PubMed, 30 pooled it
25.7field-weighted citation impact, top 1% of its field
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

78 citing papers in PubMed, 30 syntheses or guidelines pooled it, 208 citations in OpenAlex.

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18 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors at 13 institutions in 10 countries.

Elena DragiotiPain and Rehabilitation Centre, Department of Medicine and Health Sciences, Linköping University, Linköping, Sweden.
Marco SolmiDepartment of Neuroscience, University of Padua, Padua, Italy.
Angela FavaroDepartment of Neuroscience, University of Padua, Padua, Italy.
Paolo Fusar-PoliEarly Psychosis: Interventions and Clinical-Detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.
Paola DazzanSection of Imaging, Neurobiology, and Psychosis, Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom.
Trevor ThompsonDepartment of Psychology, Social Work and Counselling, University of Greenwich, Greenwich, United Kingdom.
Brendon StubbsPhysiotherapy Department, South London and Maudsley NHS Foundation Trust, London, United Kingdom.
Joseph FirthNICM Health Research Institute, School of Science and Health, University of Western Sydney, Sydney, Australia.
Michele FornaroDepartment of Neuroscience, Reproductive Sciences and Dentistry, Federico II University, Naples, Italy.
Dimitrios TsartsalisDepartment of Clinical Physiology, Linköping University, Linköping, Sweden.
Andre F CarvalhoCentre for Addiction and Mental Health and Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada.
Eduard VietaDepartment of Psychiatry and Psychology, Hospital Clinic, Institute of Neuroscience, University of Barcelona, IDIBAPS, the Spanish Ministry of Science and Innovation (CIBERSAM), Barcelona, Catalonia, Spain.
Philip McGuireEarly Psychosis: Interventions and Clinical-Detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.
Allan H YoungDepartment of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.
Jae Il ShinDepartment of Pediatrics, Yonsei University College of Medicine, Seoul, Republic of Korea.
Christoph U CorrellDepartment of Psychiatry, Zucker Hillside Hospital, Glen Oaks, New York.
Evangelos EvangelouDepartment of Hygiene and Epidemiology, School of Medicine, University of Ioannina, University Campus, Ioannina, Greece.
King's College London · GBLinköping University · SESouth London and Maudsley NHS Foundation Trust · GBCentre for Addiction and Mental Health · CAFederico II University Hospital · ITUniversitat de Barcelona · ESUniversity of Greenwich · GBUniversity of Ioannina · GRUniversity of Melbourne · AUUniversity of Padua · ITUniversity of Pavia · ITYonsei University · KRZucker Hillside Hospital · US

Funding

Department of Health ICA-CL-2017-03-001
6 · The paper itself

Abstract

Importance: Antidepressant use is increasing worldwide. Yet, contrasting evidence on the safety of antidepressants is available from meta-analyses, and the credibility of these findings has not been quantified. Objective: To grade the evidence from published meta-analyses of observational studies that assessed the association between antidepressant use or exposure and adverse health outcomes. Data Sources: PubMed, Scopus, and PsycINFO were searched from database inception to April 5, 2019. Evidence Review: Only meta-analyses of observational studies with a cohort or case-control study design were eligible. Two independent reviewers recorded the data and assessed the methodological quality of the included meta-analyses. Evidence of association was ranked according to established criteria as follows: convincing, highly suggestive, suggestive, weak, or not significant. Results: Forty-five meta-analyses (17.9%) from 4471 studies identified and 252 full-text articles scrutinized were selected that described 120 associations, including data from 1012 individual effect size estimates. Seventy-four (61.7%) of the 120 associations were nominally statistically significant at P ≤ .05 using random-effects models. Fifty-two associations (43.4%) had large heterogeneity (I2 > 50%), whereas small-study effects were found for 17 associations (14.2%) and excess significance bias was found for 9 associations (7.5%). Convincing evidence emerged from both main and sensitivity analyses for the association between antidepressant use and risk of suicide attempt or completion among children and adolescents, autism spectrum disorders with antidepressant exposure before and during pregnancy, preterm birth, and low Apgar scores. None of these associations remained supported by convincing evidence after sensitivity analysis, which adjusted for confounding by indication. Conclusions and Relevance: This study's findings suggest that most putative adverse health outcomes associated with antidepressant use may not be supported by convincing evidence, and confounding by indication may alter the few associations with convincing evidence. Antidepressant use appears to be safe for the treatment of psychiatric disorders, but more studies matching for underlying disease are needed to clarify the degree of confounding by indication and other biases. No absolute contraindication to antidepressants emerged from this umbrella review.

Indexed as

Apgar ScoreSuicide, AttemptedSuicide, CompletedAdolescentAntidepressive AgentsAutism Spectrum DisorderChildFemaleHumansMental DisordersMeta-Analysis as TopicObservational Studies as TopicPregnancyPremature BirthPrenatal Exposure Delayed EffectsAntidepressive Agents

Identifiers

PMID31577342
PMCPMC6777224
OpenAlexW2977696925

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.