Evidence map›Paper›PMID 34433180›Full record

ArticleObstetrics and gynecology2021

Coronavirus Disease 2019 (COVID-19) Pandemic and Pregnancy Outcomes in a U.S. Population.

Moeun Son, Kieran Gallagher, Justin Y Lo, Eric Lindgren, Heather H Burris, Kevin Dysart, Jay Greenspan, Jennifer F Culhane, Sara C Handley

Open access · greenAbstract read
In one paragraph

Article in Obstetrics and gynecology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 2 pooled it
9.3field-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

37 citing papers in PubMed, 2 syntheses or guidelines pooled it, 70 citations in OpenAlex.

  1. Pooled it
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  14. Maternal and neonatal outcomes in women with COVID-19: A retrospective cohort study.International journal of reproductive biomedicine · 2024
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  17. Review
  18. Severe maternal morbidity rates in a US-based electronic health record database, 2018-2022.Journal of perinatology : official journal of the California Perinatal Association · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Moeun SonDepartment of Obstetrics, Gynecology, and Reproductive Sciences, Yale School of Medicine, New Haven, Connecticut; Epic Systems, Verona, Wisconsin; and the Division of Neonatology, the Children's Hospital of Philadelphia, the Perelman School of Medicine at the University of Pennsylvania, the Leonard Davis Institute of Health Economics, the Maternal and Child Health Research Center, University of Pennsylvania Perelman School of Medicine, the Division of Neonatology, Nemours duPont Pediatrics, and the Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, Pennsylvania.
Kieran Gallagher
Justin Y Lo
Eric Lindgren
Heather H Burris
Kevin Dysart
Jay Greenspan
Jennifer F Culhane
Sara C Handley
Rothman Institute · US

Funding

Translational Research Support CoreP30ES013508 · NIEHS · UNIVERSITY OF PENNSYLVANIA · PI Rebecca A Simmons · 2006 to 2026
$35.3M
6 · The paper itself

Abstract

objectiveTo examine whether the coronavirus disease 2019 (COVID-19) pandemic altered risk of adverse pregnancy-related outcomes and whether there were differences by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection status among pregnant women.

methodsIn this retrospective cohort study using Epic's Cosmos research platform, women who delivered during the pandemic (March-December 2020) were compared with those who delivered prepandemic (matched months 2017-2019). Within the pandemic epoch, those who tested positive for SARS-CoV-2 infection were compared with those with negative test results or no SARS-CoV-2 diagnosis. Comparisons were performed using standardized differences, with a value greater than 0.1 indicating meaningful differences between groups.

resultsAmong 838,489 women (225,225 who delivered during the pandemic), baseline characteristics were similar between epochs. There were no significant differences in adverse pregnancy outcomes between epochs (standardized difference<0.10). In the pandemic epoch, 108,067 (48.0%) women had SARS-CoV-2 testing available; of those, 7,432 (6.9%) had positive test results. Compared with women classified as negative for SARS-CoV-2 infection, those who tested positive for SARS-CoV-2 infection were less likely to be non-Hispanic White or Asian or to reside in the Midwest and more likely to be Hispanic, have public insurance, be obese, and reside in the South or in high social vulnerability ZIP codes. There were no significant differences in the frequency of preterm birth (8.5% vs 7.6%, standardized difference=0.032), stillbirth (0.4% vs 0.4%, standardized difference=-0.002), small for gestational age (6.4% vs 6.5%, standardized difference=-0.002), large for gestational age (7.7% vs 7.7%, standardized difference=-0.001), hypertensive disorders of pregnancy (16.3% vs 15.8%, standardized difference=0.014), placental abruption (0.5% vs 0.4%, standardized difference=0.007), cesarean birth (31.2% vs 29.4%, standardized difference=0.039), or postpartum hemorrhage (3.4% vs 3.1%, standardized difference=0.019) between those who tested positive for SARS-CoV-2 infection and those classified as testing negative.

conclusionIn a geographically diverse U.S. cohort, the frequency of adverse pregnancy-related outcomes did not differ between those delivering before compared with during the pandemic, nor between those classified as positive compared with negative for SARS-CoV-2 infection during pregnancy.

Indexed as

SARS-CoV-2AdultCOVID-19COVID-19 TestingFemaleHumansInfant, NewbornPregnancyPregnancy Complications, InfectiousPregnancy OutcomePrenatal CareRetrospective StudiesUnited States

Identifiers

PMID34433180
PMCPMC8454282
OpenAlexW3195966393

What OpenQuestion holds

Textmetadata
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.