Evidence map›Paper›PMID 32544146›Full record

SynthesisObstetrics and gynecology2020

Severe Coronavirus Infections in Pregnancy: A Systematic Review.

Romeo R Galang, Karen Chang, Penelope Strid, Margaret Christine Snead, Kate R Woodworth, Lawrence D House, Mirna Perez, Wanda D Barfield, Dana Meaney-Delman, Denise J Jamieson and 2 more

Registry-linked trialOpen access · greenAbstract readSystematic Review
In one paragraph

Synthesis in Obstetrics and gynecology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05506280 (Association Between Prolactin Levels in Pregnant Women to- 2 Gether With Rates of Breastfeeding and the COVID-19 Virus. A 3 Randomised Trial), which is not on this map. Cited by 45 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 6 pooled it
6.5field-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.

NCT05506280 completednot on this mapstarted 2022, after this paper: background citation

Association Between Prolactin Levels in Pregnant Women to- 2 Gether With Rates of Breastfeeding and the COVID-19 Virus. A 3 Randomised Trial

TypeobservationalSponsorUniversidad Católica de ÁvilaRan2022 to 2022Enrolled720ConditionsBreastfeeding, COVID-19 InfectionArmsblood prolactin levels
3 · Its place in the literature

Who cites it

45 citing papers in PubMed, 6 syntheses or guidelines pooled it, 82 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Systematic review of the safety, immunogenicity, and effectiveness of COVID-19 vaccines in pregnant and lactating individuals and their infants.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2022
    Pooled it
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  8. Review
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  11. Observational
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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

12 authors at 1 institution in 3 countries.

Romeo R GalangDivision of Reproductive Health and the Division of Birth Defects and Infant Disorders, Centers for Disease Control and Prevention, and the Department of Gynecology & Obstetrics, Emory University School of Medicine, Atlanta, Georgia.
Karen Chang
Penelope Strid
Margaret Christine Snead
Kate R Woodworth
Lawrence D House
Mirna Perez
Wanda D Barfield
Dana Meaney-Delman
Denise J Jamieson
Carrie K Shapiro-Mendoza
Sascha R Ellington
Twitter (United States) · US

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

objectiveTo inform the current coronavirus disease 2019 (COVID-19) outbreak, we conducted a systematic literature review of case reports of Middle East respiratory syndrome coronavirus (MERS-CoV), severe acute respiratory syndrome coronavirus (SARS-CoV), and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus that causes COVID-19, during pregnancy and summarized clinical presentation, course of illness, and pregnancy and neonatal outcomes. DATA SOURCES: We searched MEDLINE and ClinicalTrials.gov from inception to April 23, 2020. METHODS OF STUDY SELECTION: We included articles reporting case-level data on MERS-CoV, SARS-CoV, and SARS-CoV-2 infection in pregnant women. Course of illness, indicators of severe illness, maternal health outcomes, and pregnancy outcomes were abstracted from included articles. TABULATION, INTEGRATION, AND

resultsWe identified 1,328 unique articles, and 1,253 articles were excluded by title and abstract review. We completed full-text review on 75, and 29 articles were excluded by full-text review. Among 46 publications reporting case-level data, eight described 12 cases of MERS-CoV infection, seven described 17 cases of SARS-CoV infection, and 31 described 98 cases of SARS-CoV-2 infection. Clinical presentation and course of illness ranged from asymptomatic to severe fatal disease, similar to the general population of patients. Severe morbidity and mortality among women with MERS-CoV, SARS-CoV, or SARS-CoV-2 infection in pregnancy and adverse pregnancy outcomes, including pregnancy loss, preterm delivery, and laboratory evidence of vertical transmission, were reported.

conclusionUnderstanding whether pregnant women may be at risk for adverse maternal and neonatal outcomes from severe coronavirus infections is imperative. Data from case reports of SARS-CoV, MERS-CoV, and SAR-CoV-2 infections during pregnancy are limited, but they may guide early public health actions and clinical decision-making for COVID-19 until more rigorous and systematically collected data are available. The capture of critical data is needed to better define how this infection affects pregnant women and neonates. This review was not registered with PROSPERO.

Indexed as

Pregnancy OutcomeAbortion, SpontaneousBetacoronavirusCoronavirus InfectionsCOVID-19FemaleHumansInfant, NewbornInfectious Disease Transmission, VerticalPandemicsPneumonia, ViralPregnancyPregnancy Complications, InfectiousPremature BirthSARS-CoV-2

Identifiers

PMID32544146
PMCPMC7942856
OpenAlexW3034881111

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.