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

Overview of attention for article published in BMC Infectious Diseases, August 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

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1 blog
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6 X users
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2 Facebook pages

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267 Mendeley
Title
Clinical features and outcomes of pregnant women with COVID-19: a systematic review and meta-analysis
Published in
BMC Infectious Diseases, August 2020
DOI 10.1186/s12879-020-05274-2
Pubmed ID
Authors

Yi-jie Gao, Lei Ye, Jia-shuo Zhang, Yang-xue Yin, Min Liu, Hong-biao Yu, Rong Zhou

Abstract

The 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. PubMed, 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 I2 statistic. The 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). The 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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 267 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 267 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 36 13%
Student > Ph. D. Student 21 8%
Student > Master 21 8%
Other 17 6%
Researcher 16 6%
Other 56 21%
Unknown 100 37%
Readers by discipline Count As %
Medicine and Dentistry 88 33%
Nursing and Health Professions 27 10%
Biochemistry, Genetics and Molecular Biology 6 2%
Social Sciences 6 2%
Agricultural and Biological Sciences 6 2%
Other 26 10%
Unknown 108 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 January 2021.
All research outputs
#2,100,387
of 23,230,825 outputs
Outputs from BMC Infectious Diseases
#594
of 7,786 outputs
Outputs of similar age
#57,976
of 398,596 outputs
Outputs of similar age from BMC Infectious Diseases
#8
of 162 outputs
Altmetric has tracked 23,230,825 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,786 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one has done particularly well, scoring higher than 92% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 398,596 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 162 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.