Evidence map›Paper›PMID 32746801›Full record

SynthesisBMC infectious diseases2020

Clinical features and outcomes of pregnant women with COVID-19: a systematic review and meta-analysis.

Yi-Jie Gao, Lei Ye, Jia-Shuo Zhang, Yang-Xue Yin, Min Liu, Hong-Biao Yu, Rong Zhou

Open access · goldAbstract readMeta-AnalysisSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in BMC infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 6 pooled it
7.7field-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

41 citing papers in PubMed, 6 syntheses or guidelines pooled it, 84 citations in OpenAlex.

  1. Pooled it
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  7. Article
  8. Article
  9. Maternal and neonatal outcomes in women with COVID-19: A retrospective cohort study.International journal of reproductive biomedicine · 2024
    Article
  10. Factors related to COVID-19 vaccination intention and uptake among childbearing women.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2023
    Article
  11. Article
  12. Impact of COVID-19 Vaccination on Pregnant Women.Pathogens (Basel, Switzerland) · 2023
    Review
  13. Article
  14. SARS-CoV-2 Infection in Pregnancy: Clues and Proof of Adverse Outcomes.International journal of environmental research and public health · 2023
    Observational
  15. Article
  16. Review
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  19. Are in-hospital COVID-19-related mortality and morbidity in pregnancy associated with gestational age?Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology · 2022
    Article
  20. 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

7 authors at 1 institution in 1 country.

Yi-Jie GaoDepartment of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University) of Ministry of Education, Postal address: No. 20, Section 3, South Renmin Road, Cheng Du, Sichuan province, 610041, P. R. China.
Lei YeDepartment of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University) of Ministry of Education, Postal address: No. 20, Section 3, South Renmin Road, Cheng Du, Sichuan province, 610041, P. R. China.
Jia-Shuo ZhangDepartment of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University) of Ministry of Education, Postal address: No. 20, Section 3, South Renmin Road, Cheng Du, Sichuan province, 610041, P. R. China.
Yang-Xue YinDepartment of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University) of Ministry of Education, Postal address: No. 20, Section 3, South Renmin Road, Cheng Du, Sichuan province, 610041, P. R. China.
Min LiuDepartment of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University) of Ministry of Education, Postal address: No. 20, Section 3, South Renmin Road, Cheng Du, Sichuan province, 610041, P. R. China.
Hong-Biao YuDepartment of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University) of Ministry of Education, Postal address: No. 20, Section 3, South Renmin Road, Cheng Du, Sichuan province, 610041, P. R. China.
Rong ZhouDepartment of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University) of Ministry of Education, Postal address: No. 20, Section 3, South Renmin Road, Cheng Du, Sichuan province, 610041, P. R. China. zhourong_hx@scu.edu.cn.ORCID http://orcid.org/0000-0002-4540-7336
Sichuan University · CN

Funding

the National Natural Science Foundation of China No. 81571465, No. 81871175
6 · The paper itself

Abstract

backgroundThe recent COVID-19 outbreak in Wuhan, China, has quickly spread throughout the world. In this study, we systematically reviewed the clinical features and outcomes of pregnant women with COVID-19.

methodsPubMed, Web of Science, EMBASE and MEDLINE were searched from January 1, 2020, to April 16, 2020. Case reports and case series of pregnant women infected with SARS-CoV-2 were included. Two reviewers screened 366 studies and 14 studies were included. Four reviewers independently extracted the features from the studies. We used a random-effects model to analyse the incidence (P) and 95% confidence interval (95% CI). Heterogeneity was assessed using the I

resultsThe meta-analysis included 236 pregnant women with COVID-19. The results were as follows: positive CT findings (71%; 95% CI, 0.49-0.93), caesarean section (65%; 95% CI, 0.42-0.87), fever (51%; 95% CI, 0.35-0.67), lymphopenia (49%; 95% CI, 0.29-0.70), coexisting disorders (33%; 95% CI, 0.21-0.44), cough (31%; 95% CI, 0.23-0.39), fetal distress (29%; 95% CI, 0.08-0.49), preterm labor (23%; 95% CI, 0.14-0.32), and severe case or death (12%; 95% CI, 0.03-0.20). The subgroup analysis showed that compared with non-pregnant patients, pregnant women with COVID-19 had significantly lower incidences of fever (pregnant women, 51%; non-pregnant patients, 91%; P < 0.00001) and cough (pregnant women, 31%; non-pregnant patients, 67%; P < 0.0001).

conclusionsThe incidences of fever, cough and positive CT findings in pregnant women with COVID-19 are less than those in the normal population with COVID-19, but the rate of preterm labor is higher among pregnant with COVID-19 than among normal pregnant women. There is currently no evidence that COVID-19 can spread through vertical transmission.

Indexed as

BetacoronavirusCesarean SectionChinaCoronavirus InfectionsCoughCOVID-19FemaleFeverHumansIncidenceInfant, NewbornInfectious Disease Transmission, VerticalObstetric Labor, PrematurePandemicsPneumonia, ViralPregnancyClinical featuresCOVID-19Meta-analysisPregnancy outcomesPregnant womenSARS-CoV-2

Identifiers

PMID32746801
PMCPMC7396931
OpenAlexW3046317170

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.