Evidence map›Paper›PMID 33115775›Full record

ArticleNeurology2020

Antiseizure medication use during pregnancy and risk of ASD and ADHD in children.

Kelsey K Wiggs, Martin E Rickert, Ayesha C Sujan, Patrick D Quinn, Henrik Larsson, Paul Lichtenstein, A Sara Oberg, Brian M D'Onofrio

Open access · hybridAbstract read
In one paragraph

Article in Neurology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 3 pooled it
8.5field-weighted citation impact, top 2% 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

31 citing papers in PubMed, 3 syntheses or guidelines pooled it, 63 citations in OpenAlex.

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  10. 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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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

8 authors at 1 institution in 2 countries.

Kelsey K WiggsFrom the Department of Psychological & Brain Sciences (K.K.W., M.E.R., A.C.S., B.M.D.) and Department of Applied Health Science (P.D.Q.), School of Public Health, Indiana University-Bloomington; Department of Medical Epidemiology and Biostatistics (H.L., P.L., A.S.O., B.M.D.), Karolinska Institutet, Stockholm; School of Medical Sciences (H.L.), Örebro University, Sweden; and Department of Epidemiology (A.S.O.), T.H. Chan School of Public Health, Harvard, Boston, MA. kkwiggs@indiana.edu.ORCID 0000-0002-8013-7925
Martin E RickertFrom the Department of Psychological & Brain Sciences (K.K.W., M.E.R., A.C.S., B.M.D.) and Department of Applied Health Science (P.D.Q.), School of Public Health, Indiana University-Bloomington; Department of Medical Epidemiology and Biostatistics (H.L., P.L., A.S.O., B.M.D.), Karolinska Institutet, Stockholm; School of Medical Sciences (H.L.), Örebro University, Sweden; and Department of Epidemiology (A.S.O.), T.H. Chan School of Public Health, Harvard, Boston, MA.ORCID 0000-0002-7010-7300
Ayesha C SujanFrom the Department of Psychological & Brain Sciences (K.K.W., M.E.R., A.C.S., B.M.D.) and Department of Applied Health Science (P.D.Q.), School of Public Health, Indiana University-Bloomington; Department of Medical Epidemiology and Biostatistics (H.L., P.L., A.S.O., B.M.D.), Karolinska Institutet, Stockholm; School of Medical Sciences (H.L.), Örebro University, Sweden; and Department of Epidemiology (A.S.O.), T.H. Chan School of Public Health, Harvard, Boston, MA.ORCID 0000-0002-4374-9949
Patrick D QuinnFrom the Department of Psychological & Brain Sciences (K.K.W., M.E.R., A.C.S., B.M.D.) and Department of Applied Health Science (P.D.Q.), School of Public Health, Indiana University-Bloomington; Department of Medical Epidemiology and Biostatistics (H.L., P.L., A.S.O., B.M.D.), Karolinska Institutet, Stockholm; School of Medical Sciences (H.L.), Örebro University, Sweden; and Department of Epidemiology (A.S.O.), T.H. Chan School of Public Health, Harvard, Boston, MA.
Henrik LarssonFrom the Department of Psychological & Brain Sciences (K.K.W., M.E.R., A.C.S., B.M.D.) and Department of Applied Health Science (P.D.Q.), School of Public Health, Indiana University-Bloomington; Department of Medical Epidemiology and Biostatistics (H.L., P.L., A.S.O., B.M.D.), Karolinska Institutet, Stockholm; School of Medical Sciences (H.L.), Örebro University, Sweden; and Department of Epidemiology (A.S.O.), T.H. Chan School of Public Health, Harvard, Boston, MA.
Paul LichtensteinFrom the Department of Psychological & Brain Sciences (K.K.W., M.E.R., A.C.S., B.M.D.) and Department of Applied Health Science (P.D.Q.), School of Public Health, Indiana University-Bloomington; Department of Medical Epidemiology and Biostatistics (H.L., P.L., A.S.O., B.M.D.), Karolinska Institutet, Stockholm; School of Medical Sciences (H.L.), Örebro University, Sweden; and Department of Epidemiology (A.S.O.), T.H. Chan School of Public Health, Harvard, Boston, MA.ORCID 0000-0003-3037-5287
A Sara ObergFrom the Department of Psychological & Brain Sciences (K.K.W., M.E.R., A.C.S., B.M.D.) and Department of Applied Health Science (P.D.Q.), School of Public Health, Indiana University-Bloomington; Department of Medical Epidemiology and Biostatistics (H.L., P.L., A.S.O., B.M.D.), Karolinska Institutet, Stockholm; School of Medical Sciences (H.L.), Örebro University, Sweden; and Department of Epidemiology (A.S.O.), T.H. Chan School of Public Health, Harvard, Boston, MA.ORCID 0000-0001-6638-1895
Brian M D'OnofrioFrom the Department of Psychological & Brain Sciences (K.K.W., M.E.R., A.C.S., B.M.D.) and Department of Applied Health Science (P.D.Q.), School of Public Health, Indiana University-Bloomington; Department of Medical Epidemiology and Biostatistics (H.L., P.L., A.S.O., B.M.D.), Karolinska Institutet, Stockholm; School of Medical Sciences (H.L.), Örebro University, Sweden; and Department of Epidemiology (A.S.O.), T.H. Chan School of Public Health, Harvard, Boston, MA.ORCID 0000-0002-5248-7434
Harvard University · US

Funding

Training in Clinical Translational Science: Maximizing the Public Health ImpactT32MH103213 · NIMH · TRUSTEES OF INDIANA UNIVERSITY · PI WILLIAM P HETRICK · 2015 to 2026
$3.4M
Maternal use of prescribed opioid analgesics and risk of adverse offspring outcomesR01DA048042 · NIDA · TRUSTEES OF INDIANA UNIVERSITY · PI D'ONOFRIO, BRIAN M, OBERG, ANNA SARA · 2019 to 2021
$1.2M
Pharmacoepidemiologic Studies of Prescription Opioid Analgesic RisksR00DA040727 · NIDA · TRUSTEES OF INDIANA UNIVERSITY · PI QUINN, PATRICK DONOVAN · 2018 to 2020
$744k
Maternal antiepileptic drug use during pregnancy and offspring birth defects and neurodevelopmental disordersF31NS111856 · NINDS · TRUSTEES OF INDIANA UNIVERSITY · PI WIGGS, KELSEY KATHLEEN · 2019 to 2021
$78k
NIDA NIH HHS R00 DA040727NIDA NIH HHS R01 DA048042NIMH NIH HHS T32 MH103213NINDS NIH HHS F31 NS111856
6 · The paper itself

Abstract

objectiveTo determine whether children born to women who use antiseizure medications (ASMs) during pregnancy have higher risk of autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD) independent of confounding factors.

methodsWe used Swedish register data (n = 14,614 children born 1996-2011 and followed up through 2013) to examine associations in children of women with epilepsy, using the largest sample to date and adjusting for a range of measured confounders. We examined maternal-reported first-trimester use of any ASM (22.7%) and the 3 most commonly reported individual drugs (valproic acid 4.8%, lamotrigine 6.8%, and carbamazepine 9.7%). We identified ASD with ICD-10 diagnoses and ADHD with ICD-10 diagnoses or filled prescriptions of ADHD medication.

resultsExamination of individual drugs revealed that after adjustment for confounding, use of valproic acid was associated with ASD (hazard ratio [HR] 2.30, 95% confidence interval [CI] 1.53-3.47) and ADHD (HR 1.74, 95% CI 1.28-2.38). Whereas a small, nonstatistically significant association with ASD (HR 1.25, 95% CI = 0.88-1.79) and ADHD (HR 1.18, 95% CI 0.91-1.52) remained for reported use of carbamazepine, confounding explained all of the associations with lamotrigine (HR

conclusionsWe found no evidence of risk related to exposure to lamotrigine, whereas we observed elevated risk of ASD and ADHD related to maternal use of valproic acid. Associations with carbamazepine were weak and not statistically significant. Our findings add to a growing body of evidence that suggests that certain ASMs may be safer than others in pregnancy.

Indexed as

AdolescentAdultAnticonvulsantsAttention Deficit Disorder with HyperactivityAutism Spectrum DisorderCarbamazepineDrug PrescriptionsEpilepsyFemaleHumansLamotriginePregnancyPrenatal Exposure Delayed EffectsRegistriesRetrospective StudiesSelf ReportAnticonvulsantsCarbamazepineLamotrigineValproic Acid

Identifiers

PMID33115775
PMCPMC7836668
OpenAlexW3095943829

What OpenQuestion holds

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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.