Evidence map›Paper›PMID 33213014›Full record

ArticleInternational journal of environmental research and public health2020

Alcohol Use Disorders and Increased Risk of Adverse Birth Complications and Outcomes: An 11-Year Nationwide Cohort Study.

Sarah Soyeon Oh, Yongho Jee, Eun-Cheol Park, Young Ju Kim

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–field-weighted citation impact, top 84% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.

  1. Pooled it
  2. Article
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

4 authors at 2 institutions in 1 country.

Sarah Soyeon OhFetal Alcohol Syndrome Prevention Center, Ewha Mokdong Hospital, Ewha Womans University, Seoul 07985, Korea.
Yongho JeeFetal Alcohol Syndrome Prevention Center, Ewha Mokdong Hospital, Ewha Womans University, Seoul 07985, Korea.
Eun-Cheol ParkDepartment of Preventive Medicine, Yonsei University, Seoul 03722, Korea.ORCID 0000-0002-2306-5398
Young Ju KimFetal Alcohol Syndrome Prevention Center, Ewha Mokdong Hospital, Ewha Womans University, Seoul 07985, Korea.ORCID 0000-0002-3153-3008
Ewha Womans University · KRYonsei University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For women who suffer from Alcohol Use Disorders (AUDs), the use of alcohol before and/or during pregnancy may result in various birth complications, including miscarriage, stillbirth, or preterm delivery. Thus, this study aimed to explore whether Alcohol Use Disorders (AUDs) are associated with increased risk of adverse birth complications and outcomes. A total of 76,799 deliveries between 2003 and 2013 in the Korean National Health Insurance Service National Sample Cohort (NHIS-NSC) were analyzed. Women with an AUD diagnosis preceding delivery were identified as individuals with alcohol dependence. A multivariate Cox proportional hazards model was used to estimate the hazard ratio of adverse birth complications and outcomes associated with alcohol dependence. Diagnosis of an AUD was associated with increased risk of adverse birth complications (Hazard Ratio [HR]: 1.15, 95% CI: 1.01-1.31,

Indexed as

AlcoholismPregnancy ComplicationsAbortion, SpontaneousCohort StudiesFemaleHumansInfant, NewbornPregnancyPremature BirthStillbirthbirth complicationsprenatal alcohol exposurepreterm birth

Identifiers

PMID33213014
PMCPMC7698577
OpenAlexW3101612931

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.