2020Unpublished venueOpen access

Prognosis of COVID-19 in pregnancy: Protocol for an overview of systematic reviews

Laura Vergara‐Merino, Javier Bracchiglione, Nicolás Meza, Constanza Couve, Cynthia Carrasco, Luis E. Ortiz-Muñoz, Gabriel Rada

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Abstract

Objective: We aim to map and summarise the current evidence about COVID-19 prognosis in pregnant women.Design: This is the protocol of an overview of systematic reviews.Data sources: We will conduct comprehensive searches in PubMed/MEDLINE, Embase, Cochrane Central Register of Controlled Trials (CENTRAL), grey literature, and L·OVE (Living OVerview of Evidence). L·OVE is a platform that maps PICO evidence questions from Epistemonikos database. In response to the COVID-19 emergency, L·OVE was adapted to expand its COVID-19 repository evidence as a way to gather it in one place. The search will cover the period until the day before submission to a journal.Eligibility criteria for selecting studies and methods: We adapted an already published common protocol for multiple parallel systematic reviews and overviews of systematic reviews to the specificities of this question. We will include all systematic reviews about COVID-19 in pregnant women.Two reviewers will independently screen each study for eligibility, extract data, and assess the risk of bias. Ethics and dissemination: No ethics approval is considered necessary. The results of this overview will be widely disseminated via peer-reviewed publications, social networks and traditional media.

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Objective: We aim to map and summarise the current evidence about COVID-19 prognosis in pregnant women.Design: This is the protocol of an overview of systematic reviews.Data sources: We will conduct comprehensive searches in PubMed/MEDLINE, Embase, Cochrane Central Register of Controlled Trials (CENTRAL), grey literature, and L·OVE (Living OVerview of Evidence). L·OVE is a platform that maps PICO evidence questions from Epistemonikos database. In response to the COVID-19 emergency, L·OVE was adapted to expand its COVID-19 repository evidence as a way to gather it in one place. The search will cover the period until the day before submission to a journal.Eligibility criteria for selecting studies and methods: We adapted an already published common protocol for multiple parallel systematic reviews and overviews of systematic reviews to the specificities of this question. We will include all systematic reviews about COVID-19 in pregnant women.Two reviewers will independently screen each study for eligibility, extract data, and assess the risk of bias. Ethics and dissemination: No ethics approval is considered necessary. The results of this overview will be widely disseminated via peer-reviewed publications, social networks and traditional media.

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Available abstract

Objective: We aim to map and summarise the current evidence about COVID-19 prognosis in pregnant women.Design: This is the protocol of an overview of systematic reviews.Data sources: We will conduct comprehensive searches in PubMed/MEDLINE, Embase, Cochrane Central Register of Controlled Trials (CENTRAL), grey literature, and L·OVE (Living OVerview of Evidence). L·OVE is a platform that maps PICO evidence questions from Epistemonikos database. In response to the COVID-19 emergency, L·OVE was adapted to expand its COVID-19 repository evidence as a way to gather it in one place. The search will cover the period until the day before submission to a journal.Eligibility criteria for selecting studies and methods: We adapted an already published common protocol for multiple parallel systematic reviews and overviews of systematic reviews to the specificities of this question. We will include all systematic reviews about COVID-19 in pregnant women.Two reviewers will independently screen each study for eligibility, extract data, and assess the risk of bias. Ethics and dissemination: No ethics approval is considered necessary. The results of this overview will be widely disseminated via peer-reviewed publications, social networks and traditional media.

Key concepts: Systematic review, Protocol (science), Grey literature, MEDLINE, Coronavirus disease 2019 (COVID-19), Cochrane Library, Medicine, Alternative medicine

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