Evidence map›Paper›PMID 33387448›Full record

SynthesisReviews in medical virology2021

Clinical characteristics and outcomes of pregnant women with COVID-19 and comparison with control patients: A systematic review and meta-analysis.

Maryamsadat Jafari, Ali Pormohammad, Saeideh Aghayari Sheikh Neshin, Saied Ghorbani, Deepanwita Bose, Shohreh Alimohammadi, Sedigheh Basirjafari, Mehdi Mohammadi, Cody Rasmussen-Ivey, Mohammad Hossein Razizadeh and 2 more

Open access · bronzeAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Reviews in medical virology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 125 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
125citing papers in PubMed, 9 pooled it
39.7field-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

125 citing papers in PubMed, 9 syntheses or guidelines pooled it, 282 citations in OpenAlex.

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  7. Differential impact of COVID-19 in pregnant women from high-income countries and low- to middle-income countries: A systematic review and meta-analysis.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2021
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65 more citing papers are in PubMed but not listed here.

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 8 institutions in 3 countries.

Maryamsadat JafariDepartment of Obstetrics, Gynecology, and Perinatology, Hamedan University of Medical Science, Hamedan, Iran.
Ali PormohammadDepartment of Biological Sciences, University of Calgary, Calgary, Alberta, Canada.
Saeideh Aghayari Sheikh NeshinNeuroscience Research Center, Guilan University of Medical Sciences, Rasht, Iran.
Saied GhorbaniDepartment of Virology, Faculty of Medicine, Iran University of Medical Science, Tehran, Iran.ORCID https://orcid.org/0000-0001-9284-6983
Deepanwita BoseDepartment of Pediatrics, Division of Infectious Diseases, Boston Children's Hospital, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0003-4164-6556
Shohreh AlimohammadiDepartment of Obstetrics, Gynecology, and Perinatology, Hamedan University of Medical Science, Hamedan, Iran.
Sedigheh BasirjafariDepartment of Radiology, Hashemi Rafsanjani Hospital, North Khorasan University of Medical Sciences, Shirvan, Iran.
Mehdi MohammadiDepartment of Biological Science, University of Calgary, Calgary, Alberta, Canada.
Cody Rasmussen-IveyJohn B. Little Center for Radiation Sciences, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
Mohammad Hossein RazizadehDepartment of Virology, Faculty of Medicine, Iran University of Medical Science, Tehran, Iran.
Masoud Nouri-VaskehImmunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Mohammad ZareiCenter of Mitochondrial and Epigenomic Medicine, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.ORCID https://orcid.org/0000-0002-2239-2055
Hamedan University of Medical Sciences · IRIran University of Medical Sciences · IRUniversity of Calgary · CABoston Children's Hospital · USChildren's Hospital of Philadelphia · USGuilan University of Medical Sciences · IRNorth Khorasan University of Medical Sciences · IRTabriz University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In a large-scale study, 128176 non-pregnant patients (228 studies) and 10000 pregnant patients (121 studies) confirmed COVID-19 cases included in this Meta-Analysis. The mean (confidence interval [CI]) of age and gestational age of admission (GA) in pregnant women was 33 (28-37) years old and 36 (34-37) weeks, respectively. Pregnant women show the same manifestations of COVID-19 as non-pregnant adult patients. Fever (pregnant: 75.5%; non-pregnant: 74%) and cough (pregnant: 48.5%; non-pregnant: 53.5%) are the most common symptoms in both groups followed by myalgia (26.5%) and chill (25%) in pregnant and dysgeusia (27%) and fatigue (26.5%) in non-pregnant patients. Pregnant women are less probable to show cough (odds ratio [OR] 0.7; 95% CI 0.67-0.75), fatigue (OR: 0.58; CI: 0.54-0.61), sore throat (OR: 0.66; CI: 0.61-0.7), headache (OR: 0.55; CI: 0.55-0.58) and diarrhea (OR: 0.46; CI: 0.4-0.51) than non-pregnant adult patients. The most common imaging found in pregnant women is ground-glass opacity (57%) and in non-pregnant patients is consolidation (76%). Pregnant women have higher proportion of leukocytosis (27% vs. 14%), thrombocytopenia (18% vs. 12.5%) and have lower proportion of raised C-reactive protein (52% vs. 81%) compared with non-pregnant patients. Leucopenia and lymphopenia are almost the same in both groups. The most common comorbidity in pregnant patients is diabetes (18%) and in non-pregnant patients is hypertension (21%). Case fatality rate (CFR) of non-pregnant hospitalized patients is 6.4% (4.4-8.5), and mortality due to all-cause for pregnant patients is 11.3% (9.6-13.3). Regarding the complications of pregnancy, postpartum hemorrhage (54.5% [7-94]), caesarean delivery (48% [42-54]), preterm labor (25% [4-74]) and preterm birth (21% [12-34]) are in turn the most prevalent complications. Comparing the pregnancy outcomes show that caesarean delivery (OR: 3; CI: 2-5), low birth weight (LBW) (OR: 9; CI: 2.4-30) and preterm birth (OR: 2.5; CI: 1.5-3.5) are more probable in pregnant woman with COVID-19 than pregnant women without COVID-19. The most prevalent neonatal complications are neonatal intensive care unit admission (43% [2-96]), fetal distress (30% [12-58]) and LBW (25% [16-37]). The rate of vertical transmission is 5.3% (1.3-16), and the rate of positive SARS-CoV-2 test for neonates born to mothers with COVID-19 is 8% (4-16). Overall, pregnant patients present with the similar clinical characteristics of COVID-19 when compared with the general population, but they may be more asymptomatic. Higher odds of caesarean delivery, LBW and preterm birth among pregnant patients with COVID-19 suggest a possible association between COVID-19 infection and pregnancy complications. Low risk of vertical transmission is present, and SARS-CoV-2 can be detected in all conception products, particularly placenta and breast milk. Interpretations of these results should be done cautiously due to the heterogeneity between studies; however, we believe our findings can guide the prenatal and postnatal considerations for COVID-19 pregnant patients.

Indexed as

Pregnancy OutcomeAdultCOVID-19FemaleHumansInfant, NewbornInfant, Newborn, DiseasesInfectious Disease Transmission, VerticalMalePregnancyPregnancy Complications, InfectiousPregnant PeoplePremature BirthSARS-CoV-2COVID-19infectionmeta-analysisneonatepregnancySARS-CoV-2vertical transmission

Identifiers

PMID33387448
PMCPMC7883245
OpenAlexW3113681942

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.