Evidence map›Paper›PMID 30383108›Full record

ArticleJAMA psychiatry2018

Association of Autism Spectrum Disorder With Prenatal Exposure to Medication Affecting Neurotransmitter Systems.

Magdalena Janecka, Arad Kodesh, Stephen Z Levine, Shari I Lusskin, Alexander Viktorin, Rayees Rahman, Joseph D Buxbaum, Avner Schlessinger, Sven Sandin, Abraham Reichenberg

Open access · bronzeAbstract read
In one paragraph

Article in JAMA psychiatry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
4.8field-weighted citation impact, top 5% 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, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Maternal medication use in pregnancy and offspring ASD risk: A prescription-wide, target-informed study.European psychiatry : the journal of the Association of European Psychiatrists · 2025
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  5. Article
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  11. Somatic comorbidities of mental disorders in pregnancy.European psychiatry : the journal of the Association of European Psychiatrists · 2023
    Article
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  13. Review
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  15. Article
  16. Review
  17. Identification of newborns at risk for autism using electronic medical records and machine learning.European psychiatry : the journal of the Association of European Psychiatrists · 2020
    Article
  18. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 3 countries.

Magdalena JaneckaDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York.
Arad KodeshDepartment of Community Mental Health, University of Haifa, Haifa, Israel.
Stephen Z LevineDepartment of Community Mental Health, University of Haifa, Haifa, Israel.
Shari I LusskinDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York.
Alexander ViktorinDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York.
Rayees RahmanDepartment of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, New York.
Joseph D BuxbaumDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York.
Avner SchlessingerDepartment of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, New York.
Sven SandinDepartment 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.
Icahn School of Medicine at Mount Sinai · USClalit Health Services · ILKarolinska Institutet · SEUniversity of Haifa · IL

Funding

Teaching biomedical and pharmacological trainees to produce FAIR data for AI & ML applicationsT32GM062754 · NIGMS · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI SCHLESSINGER, AVNER · 2001 to 2023
$6.2M
Population-Based Autism Genetics & Environment StudyR01MH097849 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI BUXBAUM, JOSEPH D. · 2014 to 2022
$5.2M
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
Substrate Specificity Determinants in Nutrient Solute Carrier TransportersR01GM108911 · NIGMS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI SCHLESSINGER, AVNER · 2014 to 2022
$3.1M
Population-Based Autism Genetics & Environment StudyR56MH097849 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI BUXBAUM, JOSEPH D. · 2012 to 2013
$1.3M
NICHD NIH HHS U01 HD073978NIGMS NIH HHS R01 GM108911NIGMS NIH HHS T32 GM062754NIMH NIH HHS R01 MH097849NIMH NIH HHS R56 MH097849
6 · The paper itself

Abstract

Importance: Prenatal exposure to certain medications has been hypothesized to influence the risk of autism spectrum disorders (ASD). However, the underlying effects on the neurotransmitter systems have not been comprehensively assessed. Objective: To investigate the association of early-life interference with different neurotransmitter systems by prenatal medication exposure on the risk of ASD in offspring. Design, Setting, and Participants: This case-control study included children born from January 1, 1997, through December 31, 2007, and followed up for ASD until January 26, 2015, within a single Israeli health maintenance organization. Using publicly available data, 55 groups of medications affecting neurotransmitter systems and prescribed to pregnant women in this sample were identified. Children prenatally exposed to medications were compared with nonexposed children. Data were analyzed from March 1, 2017, through June 20, 2018. Main Outcome and Measures: Hazard ratios (HRs) and 95% CIs of ASD risk associated with exposure to medication groups using Cox proportional hazards regression, adjusted for the relevant confounders (eg, birth year, maternal age, maternal history of psychiatric and neurologic disorders, or maternal number of all medical diagnoses 1 year before pregnancy). Results: The analytic sample consisted of 96 249 individuals (1405 cases; 94 844 controls; mean [SD] age at the end of follow-up, 11.6 [3.1] years; 48.8% female), including 1405 with ASD and 94 844 controls. Of 34 groups of medications, 5 showed nominally statistically significant association with ASD in fully adjusted models. Evidence of confounding effects of the number of maternal diagnoses on the association between offspring exposure to medication and ASD was found. Adjusting for this factor, lower estimates of ASD risk among children exposed to cannabinoid receptor agonists (HR, 0.72; 95% CI, 0.55-0.95; P = .02), muscarinic receptor 2 agonists (HR, 0.49; 95% CI, 0.24-0.98; P = .04), opioid receptor κ and ε agonists (HR, 0.67; 95% CI, 0.45-0.99; P = .045), or α2C-adrenergic receptor agonists (HR, 0.43; 95% CI, 0.19-0.96; P = .04) were observed. Exposure to antagonists of neuronal nicotinic acetylcholine receptor α was associated with higher estimates of ASD risk (HR, 12.94; 95% CI, 1.35-124.25; P = .03). Conclusions and Relevance: Most of the medications affecting neurotransmitter systems in this sample had no association with the estimates of ASD risk. Replication and/or validation using experimental techniques are required.

Indexed as

AdolescentAdultAutism Spectrum DisorderCase-Control StudiesChildCohort StudiesFemaleHumansMaleMental DisordersNeurotransmitter AgentsPregnancyPregnancy ComplicationsPrenatal Exposure Delayed EffectsProportional Hazards ModelsYoung AdultNeurotransmitter Agents

Identifiers

PMID30383108
PMCPMC6421849
OpenAlexW2899013816

What OpenQuestion holds

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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.