Evidence map›Paper›PMID 33354752›Full record

SynthesisDrug safety2021

A Systematic Review and Meta-Analysis Considering the Risk for Congenital Heart Defects of Antidepressant Classes and Individual Antidepressants.

Courtney De Vries, Svetla Gadzhanova, Matthew J Sykes, Michael Ward, Elizabeth Roughead

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Drug safety, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 4 pooled it
5.6field-weighted citation impact, top 3% 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

19 citing papers in PubMed, 4 syntheses or guidelines pooled it, 56 citations in OpenAlex.

  1. Guideline
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  14. Sertraline-induced 5-HT dysregulation in mouse cardiomyocytes and the impact on calcium handling.American journal of physiology. Heart and circulatory physiology · 2024
    Article
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  19. Observational
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 at 1 institution in 1 country.

Courtney De VriesClinical and Health Sciences, University of South Australia, North Terrace adjacent Morphett St Bridge, Adelaide, 5000, SA, Australia. Courtney.DeVries@unisa.edu.au.ORCID http://orcid.org/0000-0001-5887-2125
Svetla GadzhanovaQuality Use of Medicines and Pharmacy Research Centre, University of South Australia, Adelaide, SA, Australia.ORCID http://orcid.org/0000-0002-7493-7387
Matthew J SykesClinical and Health Sciences, University of South Australia, North Terrace adjacent Morphett St Bridge, Adelaide, 5000, SA, Australia.ORCID http://orcid.org/0000-0002-2509-5531
Michael WardClinical and Health Sciences, University of South Australia, North Terrace adjacent Morphett St Bridge, Adelaide, 5000, SA, Australia.ORCID http://orcid.org/0000-0001-5121-5827
Elizabeth RougheadQuality Use of Medicines and Pharmacy Research Centre, University of South Australia, Adelaide, SA, Australia.ORCID http://orcid.org/0000-0002-6811-8991
University of South Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAntidepressant use during the first trimester is reported in 4-8% of pregnancies. The use of some selective serotonin reuptake inhibitors during the first trimester has been identified as increasing the odds for congenital heart defects; however, little is known about the safety of non-selective serotonin reuptake inhibitor antidepressants.

objectiveThe objective of this study was to assess the odds of congenital heart defects associated with the use of antidepressants during the first trimester of pregnancy, and to update the literature as newer studies have been published since the latest systematic literature review and meta-analysis.

methodsPubMed and Embase were searched till 3 June, 2020. Study quality was assessed, and study details were extracted. Meta-analyses were performed using RevMan 5.4, which assessed: (1) any antidepressant usage; (2) classes of antidepressants; and (3) individual antidepressants.

resultsTwenty studies were identified, encompassing 5,337,223 pregnancies. The odds ratio for maternal use of any antidepressant during the first trimester of pregnancy and the presence of congenital heart defects from the random effects meta-analysis was 1.28 (95% confidence interval [CI] 1.17-1.41). Significant odds ratios of 1.69 (95% CI 1.37-2.10) and 1.25 (95% CI 1.15-1.37) were reported for serotonin norepinephrine reuptake inhibitors and selective serotonin reuptake inhibitors, respectively. A non-statistically significant odds ratio of 1.02 (95% CI 0.82-1.25) was reported for the tricyclic antidepressants. Analyses of individual SSRIs produced significant odds ratios of 1.57 (95% CI 1.25-1.97), 1.36 (95% CI 1.08-1.72), and 1.29 (95% CI 1.14-1.45) for paroxetine, fluoxetine, and sertraline, respectively. The norepinephrine-dopamine-reuptake inhibitor bupropion also produced a significant odds ratio of 1.23 (95% CI 1.01-1.49).

conclusionsThe selective serotonin reuptake inhibitor and serotonin norepinephrine reuptake inhibitor classes of antidepressants pose a greater risk for causing congenital heart defects than the tricyclic antidepressants. However, this risk for individual antidepressants within each class varies, and information regarding some antidepressants is still lacking.

Indexed as

Heart Defects, CongenitalSelective Serotonin Reuptake InhibitorsAntidepressive AgentsAntidepressive Agents, TricyclicFemaleHumansNorepinephrinePregnancySerotoninAntidepressive AgentsAntidepressive Agents, TricyclicNorepinephrineSelective Serotonin Reuptake InhibitorsSerotonin

Identifiers

PMID33354752
OpenAlexW3113490186

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.