Protocol for a sequential, prospective meta-analysis to describe coronavirus disease 2019 (COVID-19) in the pregnancy and postpartum periods.

Smith, Emily R; Oakley, Erin; He, Siran; Zavala, Rebecca; Ferguson, Kacey; Miller, Lior; Grandner, Gargi Wable; Abejirinde, Ibukun-Oluwa Omolade; Afshar, Yalda; Ahmadzia, Homa; Aldrovandi, Grace; Akelo, Victor; Tippett Barr, Beth A; Bevilacqua, Elisa; Brandt, Justin S; Broutet, Natalie; Fernández Buhigas, Irene; Carrillo, Jorge; Clifton, Rebecca; Conry, Jeanne; ... (2022). Protocol for a sequential, prospective meta-analysis to describe coronavirus disease 2019 (COVID-19) in the pregnancy and postpartum periods. PLoS ONE, 17(6), e0270150. Public Library of Science 10.1371/journal.pone.0270150

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We urgently need answers to basic epidemiological questions regarding SARS-CoV-2 infection in pregnant and postpartum women and its effect on their newborns. While many national registries, health facilities, and research groups are collecting relevant data, we need a collaborative and methodologically rigorous approach to better combine these data and address knowledge gaps, especially those related to rare outcomes. We propose that using a sequential, prospective meta-analysis (PMA) is the best approach to generate data for policy- and practice-oriented guidelines. As the pandemic evolves, additional studies identified retrospectively by the steering committee or through living systematic reviews will be invited to participate in this PMA. Investigators can contribute to the PMA by either submitting individual patient data or running standardized code to generate aggregate data estimates. For the primary analysis, we will pool data using two-stage meta-analysis methods. The meta-analyses will be updated as additional data accrue in each contributing study and as additional studies meet study-specific time or data accrual thresholds for sharing. At the time of publication, investigators of 25 studies, including more than 76,000 pregnancies, in 41 countries had agreed to share data for this analysis. Among the included studies, 12 have a contemporaneous comparison group of pregnancies without COVID-19, and four studies include a comparison group of non-pregnant women of reproductive age with COVID-19. Protocols and updates will be maintained publicly. Results will be shared with key stakeholders, including the World Health Organization (WHO) Maternal, Newborn, Child, and Adolescent Health (MNCAH) Research Working Group. Data contributors will share results with local stakeholders. Scientific publications will be published in open-access journals on an ongoing basis.

Item Type:

Journal Article (Further Contribution)

Division/Institute:

04 Faculty of Medicine > Medical Education > Institute of General Practice and Primary Care (BIHAM)

UniBE Contributor:

Panchaud Monnat, Alice Elke Martine

Subjects:

600 Technology > 610 Medicine & health
300 Social sciences, sociology & anthropology > 360 Social problems & social services

ISSN:

1932-6203

Publisher:

Public Library of Science

Language:

English

Submitter:

Pubmed Import

Date Deposited:

22 Jun 2022 09:24

Last Modified:

23 Jun 2022 13:36

Publisher DOI:

10.1371/journal.pone.0270150

PubMed ID:

35709239

BORIS DOI:

10.48350/170788

URI:

https://boris.unibe.ch/id/eprint/170788

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