Evidence map›Paper›PMID 38658035›Full record

ArticleBMJ (Clinical research ed.)2024

Prenatal opioid exposure and subsequent risk of neuropsychiatric disorders in children: nationwide birth cohort study in South Korea.

Jiseung Kang, Hyeon Jin Kim, Tae Kim, Hyeri Lee, Minji Kim, Seung Won Lee, Min Seo Kim, Ai Koyanagi, Lee Smith, Guillaume Fond and 8 more

Open access · hybridAbstract read
In one paragraph

Article in BMJ (Clinical research ed.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
43.3field-weighted citation impact, top 1% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.

  1. Pooled it
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  16. Acetaminophen's Role in Autism and ADHD: A Mitochondrial Perspective.International journal of molecular sciences · 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

18 authors at 13 institutions in 11 countries.

Jiseung KangDepartment of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, South Korea.
Hyeon Jin KimCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea.
Tae KimDepartment of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, South Korea.
Hyeri LeeCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea.
Minji KimCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea.
Seung Won LeeDepartment of Precision Medicine, Sungkyunkwan University School of Medicine, Suwon, South Korea.
Min Seo KimCardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Ai KoyanagiResearch and Development Unit, Parc Sanitari Sant Joan de Deu, Barcelona, Spain.
Lee SmithCentre for Health, Performance and Wellbeing, Anglia Ruskin University, Cambridge, UK.
Guillaume FondResearch Centre on Health Services and Quality of Life, Aix Marseille University, Marseille, France.
Laurent BoyerResearch Centre on Health Services and Quality of Life, Aix Marseille University, Marseille, France.
Masoud RahmatiResearch Centre on Health Services and Quality of Life, Aix Marseille University, Marseille, France.
Guillermo F López SánchezDivision of Preventive Medicine and Public Health, Department of Public Health Sciences, School of Medicine, University of Murcia, Murcia, Spain.
Elena DragiotiPain and Rehabilitation Centre, and Department of Medical and Health Sciences, Linköping University, Linköping, Sweden.
Samuele CorteseCentre for Innovation in Mental Health, School of Psychology, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, UK.
Jae Il ShinDepartment of Pediatrics, Yonsei University College of Medicine, Seoul, South Korea.
Dong Keon YonCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea yonkkang@gmail.com.ORCID 0000-0003-1628-9948
Marco SolmiOn Track: The Champlain First Episode Psychosis Program, Department of Mental Health, The Ottawa Hospital, ON, Canada.
Aix-Marseille Université · FRKyung Hee University · KRBroad Institute · USAnglia Ruskin University · GBGwangju Institute of Science and Technology · KRHarvard University · USLinköping University · SEParc Sanitari Sant Joan de Déu · ESSolent NHS Trust · GBSungkyunkwan University · KRUniversidad de Murcia · ESUniversity of Ottawa · CAYonsei University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the potential association between prenatal opioid exposure and the risk of neuropsychiatric disorders in children.

designNationwide birth cohort study.

settingFrom 1 January 2009 to 31 December 2020, birth cohort data of pregnant women in South Korea linked to their liveborn infants from the National Health Insurance Service of South Korea were collected.

participantsAll 3 251 594 infants (paired mothers, n=2 369 322; age 32.1 years (standard deviation 4.2)) in South Korea from the start of 2010 to the end of 2017, with follow-up from the date of birth until the date of death or 31 December 2020, were included.

main outcome measuresDiagnosis of neuropsychiatric disorders in liveborn infants with mental and behaviour disorders (International Classification of Diseases 10th edition codes F00-99). Follow-up continued until the first diagnosis of neuropsychiatric disorder, 31 December 2020 (end of the study period), or the date of death, whichever occurred first. Eight cohorts were created: three cohorts (full unmatched, propensity score matched, and child screening cohorts) were formed, all of which were paired with sibling comparison cohorts, in addition to two more propensity score groups. Multiple subgroup analyses were performed.

resultsOf the 3 128 571 infants included (from 2 299 664 mothers), we identified 2 912 559 (51.3% male, 48.7% female) infants with no prenatal opioid exposure and 216 012 (51.2% male, 48.8% female) infants with prenatal opioid exposure. The risk of neuropsychiatric disorders in the child with prenatal opioid exposure was 1.07 (95% confidence interval 1.05 to 1.10) for fully adjusted hazard ratio in the matched cohort, but no significant association was noted in the sibling comparison cohort (hazard ratio 1.00 (0.93 to 1.07)). Prenatal opioid exposure during the first trimester (1.11 (1.07 to 1.15)), higher opioid doses (1.15 (1.09 to 1.21)), and long term opioid use of 60 days or more (1.95 (1.24 to 3.06)) were associated with an increased risk of neuropsychiatric disorders in the child. Prenatal opioid exposure modestly increased the risk of severe neuropsychiatric disorders (1.30 (1.15 to 1.46)), mood disorders, attention deficit hyperactivity disorder, and intellectual disability in the child.

conclusionsOpioid use during pregnancy was not associated with a substantial increase in the risk of neuropsychiatric disorders in the offspring. A slightly increased risk of neuropsychiatric disorders was observed, but this should not be considered clinically meaningful given the observational nature of the study, and limited to high opioid dose, more than one opioid used, longer duration of exposure, opioid exposure during early pregnancy, and only to some neuropsychiatric disorders.

Indexed as

Analgesics, OpioidMental DisordersPrenatal Exposure Delayed EffectsAdultBirth CohortChildChild, PreschoolCohort StudiesFemaleHumansInfantInfant, NewbornMalePregnancyRepublic of KoreaRisk FactorsAnalgesics, Opioid

Identifiers

PMID38658035
PMCPMC11040462
OpenAlexW4395070850

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.