Evidence map›Paper›PMID 40552704›Full record

SynthesisBirth defects research2025

Synthesizing Cohort Study Results to Promote Knowledge Transfer of Safety Data Regarding Gestational Antidepressant Exposure and Offspring Congenital Anomalies: A Test of Concept.

Eydie L Moses-Kolko, Loreen Straub, Kelly Fung, Krista F Huybrechts

Abstract readMeta-Analysis
In one paragraph

Synthesis in Birth defects research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

  1. Pooled it
  2. Article
  3. Article
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

4 authors.

Eydie L Moses-KolkoUniversity of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.ORCID 0000-0002-9443-2036
Loreen StraubDivision of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA.
Kelly FungDivision of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA.
Krista F HuybrechtsDivision of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA.

Funding

Safety of Benzodiazepines and Non-Benzodiazepine Sedative Hypnotics in PregnancyR01HD107772 · NICHD · BRIGHAM AND WOMEN'S HOSPITAL · PI Brian Thomas Bateman, Krista F Huybrechts · 2022 to 2026
$3.2M
American Board of Psychiatry and NeurologyNICHD NIH HHS R01 HD107772NIH HHS R01HD107772
6 · The paper itself

Abstract

backgroundHealth practitioners tend to overestimate potential risks to pregnancy from antidepressant (AD) exposure. Through a literature review focused on major congenital anomalies (MCA) and cardiac anomalies (CA) in association with gestational AD exposure, we evaluated the strength of the available evidence and explored ways to facilitate communication of the evidence to providers and patients.

methodsIn PubMed, we searched English language publications, from January 2013 to March 2024, using search terms for ADs and MCA to identify cohort studies that took steps to minimize confounding and misclassification bias. We extracted study relative risks (RR) for the association between ADs and anomalies. We meta-analyzed the RR and developed a fact box to streamline risk communication.

resultsOf 1308 articles identified, 111 were retained after abstract review, of which 13 met our inclusion criteria. The pooled RR values for any AD were 1.06 (95% CI: 1.00-1.13) for MCA and 1.10 (95% CI: 1.01-1.19) for CA. Results were similar when focusing on individual AD drug classes. Risks were depicted on the absolute scale using an icon array in a fact box.

conclusionsReassuring quantitative data regarding prenatal AD exposure and the risk of MCA/CA are buried within a large corpus of publications. The fact box provides a quantitative, visual, and verbal description of absolute risks, based on pooled estimates from cohort studies which took steps to minimize bias. Further study is needed to examine the potential for fact boxes to increase clinician knowledge, clinician confidence to engage in risk discussions with patients, and patient understanding of the risk data.

Indexed as

Abnormalities, Drug-InducedAntidepressive AgentsCongenital AbnormalitiesPrenatal Exposure Delayed EffectsCohort StudiesFemaleHeart Defects, CongenitalHumansPregnancyPregnancy ComplicationsAntidepressive Agentsantidepressantconfoundingcongenital anomaliesgestationmental health conditionsmeta‐analysisrisk communication

Identifiers

PMID40552704
PMCPMC12186466

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.