2020
DOI: 10.1016/j.ejogrb.2020.07.006
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COVID-19 in pregnant women: A systematic review and meta-analysis

Abstract: Coronavirus disease 2019 (COVID-19) is a novel infectious disease caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Several reports highlighted the risk of infection and disease in pregnant women and neonates. To assess the risk of clinical complications in pregnant women and neonates infected with SARS-CoV-2 carrying out a systematic review and meta-analysis of observational studies. Data sources: Search of the scientific evidence was performed using the engines PubMed and Scopus, in… Show more

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Cited by 114 publications
(144 citation statements)
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References 29 publications
(203 reference statements)
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“…All the systematic reviews included in our analysis acknowledge the limitation that their review is limited to largely case series and case reports. Apart from the innate bias of case series and case reports, the current literature is complicated by inconsistent reporting and small sample size which further impede efforts to apply the findings to the larger population (Ashraf et al 2020;Capobianco et al 2020;Della Gatta et al 2020;Di Mascio et al 2020;Dubey et al 2020;Hessami et al 2020;Kotlyar et al 2020;Lopes de Sousa et al 2020;Matar et al 2020;Sayre et al 2017;Smith et al 2020;Thomas et al 2020a, b;Trippella et al 2020;Trocado et al 2020;Turan et al 2020;Walker et al 2020;Yang et al 2020;Yoon et al 2020;Zaigham et al 2020). Duplicate reporting overemphasizes findings.…”
Section: Resultsmentioning
confidence: 99%
See 2 more Smart Citations
“…All the systematic reviews included in our analysis acknowledge the limitation that their review is limited to largely case series and case reports. Apart from the innate bias of case series and case reports, the current literature is complicated by inconsistent reporting and small sample size which further impede efforts to apply the findings to the larger population (Ashraf et al 2020;Capobianco et al 2020;Della Gatta et al 2020;Di Mascio et al 2020;Dubey et al 2020;Hessami et al 2020;Kotlyar et al 2020;Lopes de Sousa et al 2020;Matar et al 2020;Sayre et al 2017;Smith et al 2020;Thomas et al 2020a, b;Trippella et al 2020;Trocado et al 2020;Turan et al 2020;Walker et al 2020;Yang et al 2020;Yoon et al 2020;Zaigham et al 2020). Duplicate reporting overemphasizes findings.…”
Section: Resultsmentioning
confidence: 99%
“…Additionally, variations in management and healthcare resources exists between countries (Turan et al 2020). Genetic and environmental factors can also influence the natural history of disease (Capobianco et al 2020) and thus, these factors limit generalizability of the findings of systematic reviews (Dubey et al 2020). Exclusion of studies not published in the English language may further cause bias (Matar et al 2020;Muhidin et al 2020;Thomas et al 2020a, b).…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…After being epidemic in China, Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-COV-2) infection has rapidly spread in many countries as a global pandemic, with the number of affected cases dramatically increasing worldwide on a daily basis. Although the median age of hospitalized patients with confirmed infection is usually more advanced [1], with older age reported to be associated to higher mortality rate [2], physiological adaptations occurring during pregnancy have been claimed to be potentially responsible for a more severe respiratory disease, thus leading to higher rates of maternal and fetal complications [3,4].…”
Section: Dear Editormentioning
confidence: 99%
“…Evidence has been accumulating rapidly in the last months to provide early information to help with counseling and care of pregnant women with SARS CoV-2 infection, and despite the relatively short time from the pandemic outbreak, a multitude of systematic reviews have been published on the topic of SARS-COV-2 infection and COVID-19 disease during pregnancy. However, these studies often share important limitations that might affect the robustness of the results [1,[3][4][5][6].…”
Section: Dear Editormentioning
confidence: 99%