Evidence map›Paper›PMID 28700807›Full record

ArticleJAMA psychiatry2017

Association of Antidepressant Medication Use During Pregnancy With Intellectual Disability in Offspring.

Alexander Viktorin, Rudolf Uher, Alexander Kolevzon, Abraham Reichenberg, Stephen Z Levine, Sven Sandin

Abstract read
In one paragraph

Article in JAMA psychiatry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 5 pooled it
6.2field-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

18 citing papers in PubMed, 5 syntheses or guidelines pooled it, 45 citations in OpenAlex.

  1. Pooled it
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  6. Article
  7. A Review of Neonatal Selective Serotonin Reuptake Inhibitor Withdrawal Syndrome.The journal of pediatric pharmacology and therapeutics : JPPT : the official journal of PPAG · 2025
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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

6 authors at 3 institutions in 4 countries.

Alexander ViktorinDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York.
Rudolf UherDepartment of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada.
Alexander KolevzonDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York.
Abraham ReichenbergDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York.
Stephen Z LevineDepartment of Community Mental Health, University of Haifa, Haifa, Israel.
Sven SandinDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York.
Icahn School of Medicine at Mount Sinai · USDalhousie University · CAUniversity of Haifa · IL

Funding

Multigenerational FamIlial and Environmental Risk for Autism (MINERvA) NetworkU01HD073978 · NICHD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI REICHENBERG, ABRAHAM · 2012 to 2016
$4.9M
CIHRNICHD NIH HHS U01 HD073978
6 · The paper itself

Abstract

Importance: Maternal antidepressant medication use during pregnancy has previously been associated with adverse outcomes in offspring, but to our knowledge, the association with intellectual disability (ID) has not been investigated. Objectives: To examine the association of maternal antidepressant medication use during pregnancy with ID in offspring and investigate the importance of parental mental illness for such an association. Design, Setting, and Participants: A population-based cohort study of 179 007 children born from January 1, 2006, through December 31, 2007, with complete parental information from national registers who were followed up from birth throughout 2014. Main Outcomes and Measures: We estimated relative risks (RRs) and 95% CIs of ID in children exposed during pregnancy to any antidepressant medication or specifically to selective serotonin reuptake inhibitor (SSRI) antidepressants, all other non-SSRI antidepressants, or other nonantidepressant psychotropic medications. Analyses were adjusted for potential confounders. In addition to full population analyses, we used a subsample to compare mothers who used antidepressants during pregnancy with mothers who had at least one diagnosis of depression or anxiety before childbirth but did not use antidepressants during pregnancy. Results: Of the 179 007 children included in the study (mean [SD] age at end of follow-up, 7.9 [0.6] years; 92 133 [51.5%] male and 86 874 [48.5%] female), ID was diagnosed in 37 children (0.9%) exposed to antidepressants and in 819 children (0.5%) unexposed to antidepressants. With adjustment for potential confounders, the RR of ID after antidepressant exposure was estimated at 1.33 (95% CI, 0.90-1.98) in the full population sample and 1.64 (95% CI, 0.95-2.83) in the subsample of women with depression. Results from analyses of SSRI antidepressants, non-SSRI antidepressants, and nonantidepressant psychotropic medications and analyses in the clinically relevant subsample did not deviate from the full-sample results. Conclusions and Relevance: The unadjusted RR of ID was increased in offspring born to mothers treated with antidepressants during pregnancy. After adjustment for confounding factors, however, the current study did not find evidence of an association between ID and maternal antidepressant medication use during pregnancy. Instead, the association may be attributable to a mechanism integral to other factors, such as parental age and mother's psychiatric disorder.

Indexed as

Antidepressive AgentsIntellectual DisabilityPrenatal Exposure Delayed EffectsAdultChildCohort StudiesDepressionFemaleHumansMalePregnancyPregnancy ComplicationsPsychological TechniquesRegistriesRisk AssessmentRisk FactorsAntidepressive Agents

Identifiers

PMID28700807
PMCPMC5710466
OpenAlexW2735885455

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.