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

dc.contributor.authorSmith, Emily
dc.contributor.authorOakley, Erin
dc.contributor.authorHe, Siran
dc.contributor.authorZaval, Rebecca
dc.contributor.authorFerguson, Kacey
dc.contributor.authorMiller, Lior
dc.contributor.authorWable, Gargi
dc.contributor.authorOmolade, Ibukun
dc.contributor.authorAfsha, Yalda
dc.contributor.authorAhmadzia, Homa
dc.contributor.authorAldrovand, Grace
dc.contributor.authorAkelo, Victor
dc.contributor.authorTippett, Beth
dc.contributor.authorBevilacqua, Elisa
dc.contributor.authorBrandt, Justin
dc.contributor.authorBroutet, Natalie
dc.contributor.authorFernández, Irene
dc.contributor.authorCarrillo Termini, Jorge
dc.contributor.authorClifton, Rebecca
dc.contributor.authorConry, Jeanne
dc.contributor.authorCosmi, Erich
dc.contributor.authorDelgado, Camille
dc.contributor.authorDivakar, Hema
dc.contributor.authorDriscoll, Amanda
dc.contributor.authorFavre, Guillaume
dc.contributor.authorFlaherman, Valerie
dc.contributor.authorGale, Christopher
dc.contributor.authorGil, Maria
dc.contributor.authorGodwin, Christine
dc.contributor.authorGottlieb, Sami
dc.date.accessioned2023-12-18T18:52:25Z
dc.date.available2023-12-18T18:52:25Z
dc.date.issued2022
dc.descriptionHernandez, Olivia ; Kara, Edna; Khagayi, Sammy; Rahn, Caron; Knight, Marian; Kotloff, Karen; Lanzone, Antonio; Le Doare, Kirsty; Lees, Christoph; Litman, Ethan; , Lokken, Erica; Longo, Valentin; Mageea Laura ; Martinez, Raigam; McClure, Elizabeth; Metz, Torri; Money, Deborah; Mullins, Edward; Nachega, Jean; Panchaud, Alice ; Playle, Rebecca; Poon, Liona; Raiten, Daniel; Regan, Lesley; Rukundo, Gordon; Sanin-Blair, Jose; Temmerman, Marleen; Thorson, Anna; Thwin, Soe; Tolosa, Jorge; Townson, Julia; Valencia, Miguel; Visentin, Silvia; Von Dadelszen, Peter; Adams, Kristina; Whitehead, Clare; Yang, Huixia; Thorlund, Kristian; Tielsch, James.
dc.description.abstractWe 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.
dc.description.versionVersión Publicada
dc.identifier.citationSmith ER, Oakley E, He S, Zavala R, Ferguson K, Miller L, Grandner GW, Abejirinde IO, Afshar Y, Ahmadzia H, Aldrovandi G, Akelo V, Tippett Barr BA, Bevilacqua E, Brandt JS, Broutet N, Fernández Buhigas I, Carrillo J, Clifton R, Conry J, Cosmi E, Delgado-López C, Divakar H, Driscoll AJ, Favre G, Flaherman V, Gale C, Gil MM, Godwin C, Gottlieb S, Hernandez Bellolio O, Kara E, Khagayi S, Kim CR, Knight M, Kotloff K, Lanzone A, Le Doare K, Lees C, Litman E, Lokken EM, Laurita Longo V, Magee LA, Martinez-Portilla RJ, McClure E, Metz TD, Money D, Mullins E, Nachega JB, Panchaud A, Playle R, Poon LC, Raiten D, Regan L, Rukundo G, Sanin-Blair J, Temmerman M, Thorson A, Thwin S, Tolosa JE, Townson J, Valencia-Prado M, Visentin S, von Dadelszen P, Adams Waldorf K, Whitehead C, Yang H, Thorlund K, Tielsch JM. Protocol for a sequential, prospective meta-analysis to describe coronavirus disease 2019 (COVID-19) in the pregnancy and postpartum periods. PLoS One. 2022 Jun 16;17(6):e0270150. doi: 10.1371/journal.pone.0270150
dc.identifier.doihttps://doi.org/10.1371/journal.pone.0270150
dc.identifier.urihttps://repositorio.udd.cl/handle/11447/8207
dc.language.isoen
dc.subjectAdolescent
dc.subjectCOVID-19* / epidemiology
dc.subjectChild
dc.subjectInfant, Newborn
dc.subjectMeta-Analysis as Topic
dc.subjectPostpartum Period
dc.subjectProspective Studies
dc.subjectRetrospective Studies
dc.subjectSARS-CoV-2
dc.titleProtocol for a sequential, prospective meta-analysis to describe coronavirus disease 2019 (COVID-19) in the pregnancy and postpartum periods
dc.typeArticle
dcterms.accessRightsAcceso Abierto
dcterms.sourcePloS one
dspace.entity.typePublication
relation.isAuthorOfPublication423ecc04-599a-4f1c-8773-72bd3b556bdb
relation.isAuthorOfPublication.latestForDiscovery423ecc04-599a-4f1c-8773-72bd3b556bdb

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Protocolfora sequential,prospectivemeta-analysis to describe coronavirus disease 2019 (COVID-19).pdf
Size:
640.69 KB
Format:
Adobe Portable Document Format
Description:
Texto Completo
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.63 KB
Format:
Item-specific license agreed upon to submission
Description: