Evidence map›Paper›PMID 34185807›Full record

SynthesisPloS one2021

COVID-19 and pregnancy: An umbrella review of clinical presentation, vertical transmission, and maternal and perinatal outcomes.

Agustín Ciapponi, Ariel Bardach, Daniel Comandé, Mabel Berrueta, Fernando J Argento, Federico Rodriguez Cairoli, Natalia Zamora, Victoria Santa María, Xu Xiong, Sabra Zaraa and 2 more

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 6 pooled it
17.3field-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

58 citing papers in PubMed, 6 syntheses or guidelines pooled it, 121 citations in OpenAlex.

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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 3 institutions in 2 countries.

Agustín CiapponiInstituto de Efectividad Clínica y Sanitaria (IECS-CONICET), Buenos Aires, Argentina.ORCID 0000-0001-5142-6122
Ariel BardachInstituto de Efectividad Clínica y Sanitaria (IECS-CONICET), Buenos Aires, Argentina.
Daniel ComandéInstituto de Efectividad Clínica y Sanitaria (IECS-CONICET), Buenos Aires, Argentina.ORCID 0000-0002-7111-5169
Mabel BerruetaInstituto de Efectividad Clínica y Sanitaria (IECS-CONICET), Buenos Aires, Argentina.
Fernando J ArgentoInstituto de Efectividad Clínica y Sanitaria (IECS-CONICET), Buenos Aires, Argentina.
Federico Rodriguez CairoliInstituto de Efectividad Clínica y Sanitaria (IECS-CONICET), Buenos Aires, Argentina.
Natalia ZamoraInstituto de Efectividad Clínica y Sanitaria (IECS-CONICET), Buenos Aires, Argentina.
Victoria Santa MaríaInstituto de Efectividad Clínica y Sanitaria (IECS-CONICET), Buenos Aires, Argentina.
Xu XiongSchool of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, United States of America.
Sabra ZaraaSchool of Pharmacy, University of Washington, Seattle, WA, United States of America.
Agustina MazzoniInstituto de Efectividad Clínica y Sanitaria (IECS-CONICET), Buenos Aires, Argentina.
Pierre BuekensSchool of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, United States of America.
Consejo Nacional de Investigaciones Científicas y Técnicas · ARTulane University · USUniversity of Washington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe conducted an overview of systematic reviews (SRs) summarizing the best evidence regarding the effect of COVID-19 on maternal and child health following Cochrane methods and PRISMA statement for reporting (PROSPERO-CRD42020208783).

methodsWe searched literature databases and COVID-19 research websites from January to October 2020. We selected relevant SRs reporting adequate search strategy, data synthesis, risk of bias assessment, and/or individual description of included studies describing COVID-19 and pregnancy outcomes. Pair of reviewers independently selected studies through COVIDENCE web-software, performed the data extraction, and assessed its quality through the AMSTAR-2 tool. Discrepancies were resolved by consensus. Each SR's results were synthesized and for the most recent, relevant, comprehensive, and with the highest quality, by predefined criteria, we presented GRADE evidence tables.

resultsWe included 66 SRs of observational studies out of 608 references retrieved and most (61/66) had "critically low" overall quality. We found a relatively low degree of primary study overlap across SRs. The most frequent COVID-19 clinical findings during pregnancy were fever (28-100%), mild respiratory symptoms (20-79%), raised C-reactive protein (28-96%), lymphopenia (34-80%), and pneumonia signs in diagnostic imaging (7-99%). The most frequent maternal outcomes were C-section (23-96%) and preterm delivery (14-64%). Most of their babies were asymptomatic (16-93%) or presented fever (0-50%), low birth weight (5-43%) or preterm delivery (2-69%). The odds ratio (OR) of receiving invasive ventilation for COVID-19 versus non-COVID-19 pregnant women was 1.88 (95% Confidence Interval [CI] 1.36-2.60) and the OR that their babies were admitted to neonatal intensive care unit was 3.13 (95%CI 2.05-4.78). The risk of congenital transmission or via breast milk was estimated to be low, but close contacts may carry risks.

conclusionThis comprehensive overview supports that pregnant women with COVID-19 may be at increased risk of adverse pregnancy and birth outcomes and low risk of congenital transmission.

Indexed as

Pregnancy OutcomeAsymptomatic DiseasesCOVID-19FemaleHumansInfectious Disease Transmission, VerticalPregnancyPremature BirthSARS-CoV-2Severity of Illness Index

Identifiers

PMID34185807
PMCPMC8241118
OpenAlexW3176015388

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.