Evidence map›Paper›PMID 34049105›Full record

ArticleDrug and alcohol dependence2021

Cannabis-related diagnosis in pregnancy and adverse maternal and infant outcomes.

Gretchen Bandoli, Laura Jelliffe-Pawlowski, Benjamin Schumacher, Rebecca J Baer, Jennifer N Felder, Jonathan D Fuchs, Scott P Oltman, Martina A Steurer, Carla Marienfeld

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Drug and alcohol dependence, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 3 pooled it
14.7field-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, 3 syntheses or guidelines pooled it, 60 citations in OpenAlex.

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  20. Cannabis and Pregnancy: A Review.Obstetrical & gynecological survey · 2023
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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

9 authors at 2 institutions in 1 country.

Gretchen BandoliDepartment of Pediatrics, University of California San Diego, San Diego, CA, United States; Herbert Wertheim School of Public Health and Longevity Science, University of California San Diego, San Diego, CA, United States. Electronic address: gbandoli@ucsd.edu.
Laura Jelliffe-PawlowskiCalifornia Preterm Birth Initiative, University of California San Francisco, San Francisco, CA, United States; Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, United States.
Benjamin SchumacherHerbert Wertheim School of Public Health and Longevity Science, University of California San Diego, San Diego, CA, United States.
Rebecca J BaerDepartment of Pediatrics, University of California San Diego, San Diego, CA, United States; California Preterm Birth Initiative, University of California San Francisco, San Francisco, CA, United States; Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, San Francisco, CA, United States.
Jennifer N FelderDepartment of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, CA, United States; Osher Center for Integrative Medicine, University of California, San Francisco, San Francisco, CA, United States.
Jonathan D FuchsCalifornia Preterm Birth Initiative, University of California San Francisco, San Francisco, CA, United States; San Francisco Department of Public Health, San Francisco, CA, United States.
Scott P OltmanCalifornia Preterm Birth Initiative, University of California San Francisco, San Francisco, CA, United States; Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, United States.
Martina A SteurerCalifornia Preterm Birth Initiative, University of California San Francisco, San Francisco, CA, United States; Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, United States; Department of Pediatrics, University of California San Francisco, San Francisco, CA, United States.
Carla MarienfeldDepartment of Psychiatry, University of California San Diego, San Diego, CA, United States.
University of California, San Francisco · USUniversity of California San Diego · US

Funding

Applying Machine Learning in the Prediction and Identification of Children Affected by Prenatal Alcohol ExposureK01AA027811 · NIAAA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BANDOLI, GRETCHEN E. · 2019 to 2023
$865k
NIAAA NIH HHS K01 AA027811
6 · The paper itself

Abstract

backgroundCannabis use and cannabis use disorders are increasing in prevalence, including among pregnant women. The objective was to evaluate the association of a cannabis-related diagnosis (CRD) in pregnancy and adverse maternal and infant outcomes.

methodsWe queried an administrative birth cohort of singleton deliveries in California between 2011-2017 linked to maternal and infant hospital discharge records. We classified pregnancies with CRD from International Classification of Disease codes. We identified nicotine and other substance-related diagnoses (SRD) in the same manner. Outcomes of interest included maternal (hypertensive disorders) and infant (prematurity, small for gestational age, NICU admission, major structural malformations) adverse outcomes.

resultsFrom 3,067,069 pregnancies resulting in live births, 29,112 (1.0 %) had a CRD. CRD was associated with an increased risk of all outcomes studied; the strongest risks observed were for very preterm birth (aRR 1.4, 95 % CI 1.3, 1.6) and small for gestational age (aRR 1.4, 95 % CI 1.3, 1.4). When analyzed with or without co-exposure diagnoses, CRD alone conferred increased risk for all outcomes compared to no use. The strongest effects were seen for CRD with other SRD (preterm birth aRR 2.3, 95 % CI 2.2, 2.5; very preterm birth aRR 2.6, 95 % CI 2.3, 3.0; gastrointestinal malformations aRR 2.0, 95 % CI 1.6, 2.6). The findings were generally robust to unmeasured confounding and misclassification analyses.

conclusionsCRD in pregnancy was associated with increased risk of adverse maternal and infant outcomes. Providing education and effective treatment for women with a CRD during prenatal care may improve maternal and infant health.

Indexed as

CannabisPremature BirthFemaleHumansInfantInfant, NewbornPregnancyPregnancy OutcomePrenatal CarePrevalenceAdverse birth outcomesAdverse maternal outcomesCannabis related diagnosisEpidemiology

Identifiers

PMID34049105
PMCPMC8282693
OpenAlexW3165067556

What OpenQuestion holds

Textmetadata
LicenceTDM
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.