Protocol for a sequential, prospective meta-analysis to describe coronavirus disease 2019 (COVID-19) in the pregnancy and postpartum periods.
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 methodologica...
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Public Library of Science (PLoS)
2022-01-01
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| Series: | PLoS ONE |
| Online Access: | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0270150&type=printable |
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| author | Emily R Smith Erin Oakley Siran He Rebecca Zavala Kacey Ferguson Lior Miller Gargi Wable Grandner Ibukun-Oluwa Omolade Abejirinde Yalda Afshar Homa Ahmadzia Grace Aldrovandi Victor Akelo Beth A Tippett Barr Elisa Bevilacqua Justin S Brandt Natalie Broutet Irene Fernández Buhigas Jorge Carrillo Rebecca Clifton Jeanne Conry Erich Cosmi Camille Delgado-López Hema Divakar Amanda J Driscoll Guillaume Favre Valerie Flaherman Christopher Gale Maria M Gil Christine Godwin Sami Gottlieb Olivia Hernandez Bellolio Edna Kara Sammy Khagayi Caron Rahn Kim Marian Knight Karen Kotloff Antonio Lanzone Kirsty Le Doare Christoph Lees Ethan Litman Erica M Lokken Valentina Laurita Longo Laura A Magee Raigam Jafet Martinez-Portilla Elizabeth McClure Torri D Metz Deborah Money Edward Mullins Jean B Nachega Alice Panchaud Rebecca Playle Liona C Poon Daniel Raiten Lesley Regan Gordon Rukundo Jose Sanin-Blair Marleen Temmerman Anna Thorson Soe Thwin Jorge E Tolosa Julia Townson Miguel Valencia-Prado Silvia Visentin Peter von Dadelszen Kristina Adams Waldorf Clare Whitehead Huixia Yang Kristian Thorlund James M Tielsch |
| author_facet | Emily R Smith Erin Oakley Siran He Rebecca Zavala Kacey Ferguson Lior Miller Gargi Wable Grandner Ibukun-Oluwa Omolade Abejirinde Yalda Afshar Homa Ahmadzia Grace Aldrovandi Victor Akelo Beth A Tippett Barr Elisa Bevilacqua Justin S Brandt Natalie Broutet Irene Fernández Buhigas Jorge Carrillo Rebecca Clifton Jeanne Conry Erich Cosmi Camille Delgado-López Hema Divakar Amanda J Driscoll Guillaume Favre Valerie Flaherman Christopher Gale Maria M Gil Christine Godwin Sami Gottlieb Olivia Hernandez Bellolio Edna Kara Sammy Khagayi Caron Rahn Kim Marian Knight Karen Kotloff Antonio Lanzone Kirsty Le Doare Christoph Lees Ethan Litman Erica M Lokken Valentina Laurita Longo Laura A Magee Raigam Jafet Martinez-Portilla Elizabeth McClure Torri D Metz Deborah Money Edward Mullins Jean B Nachega Alice Panchaud Rebecca Playle Liona C Poon Daniel Raiten Lesley Regan Gordon Rukundo Jose Sanin-Blair Marleen Temmerman Anna Thorson Soe Thwin Jorge E Tolosa Julia Townson Miguel Valencia-Prado Silvia Visentin Peter von Dadelszen Kristina Adams Waldorf Clare Whitehead Huixia Yang Kristian Thorlund James M Tielsch |
| author_sort | Emily R Smith |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-58551598e6fb42e595bdddd9beb89644 |
| institution | Kabale University |
| issn | 1932-6203 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj-art-58551598e6fb42e595bdddd9beb896442025-08-20T03:28:50ZengPublic Library of Science (PLoS)PLoS ONE1932-62032022-01-01176e027015010.1371/journal.pone.0270150Protocol for a sequential, prospective meta-analysis to describe coronavirus disease 2019 (COVID-19) in the pregnancy and postpartum periods.Emily R SmithErin OakleySiran HeRebecca ZavalaKacey FergusonLior MillerGargi Wable GrandnerIbukun-Oluwa Omolade AbejirindeYalda AfsharHoma AhmadziaGrace AldrovandiVictor AkeloBeth A Tippett BarrElisa BevilacquaJustin S BrandtNatalie BroutetIrene Fernández BuhigasJorge CarrilloRebecca CliftonJeanne ConryErich CosmiCamille Delgado-LópezHema DivakarAmanda J DriscollGuillaume FavreValerie FlahermanChristopher GaleMaria M GilChristine GodwinSami GottliebOlivia Hernandez BellolioEdna KaraSammy KhagayiCaron Rahn KimMarian KnightKaren KotloffAntonio LanzoneKirsty Le DoareChristoph LeesEthan LitmanErica M LokkenValentina Laurita LongoLaura A MageeRaigam Jafet Martinez-PortillaElizabeth McClureTorri D MetzDeborah MoneyEdward MullinsJean B NachegaAlice PanchaudRebecca PlayleLiona C PoonDaniel RaitenLesley ReganGordon RukundoJose Sanin-BlairMarleen TemmermanAnna ThorsonSoe ThwinJorge E TolosaJulia TownsonMiguel Valencia-PradoSilvia VisentinPeter von DadelszenKristina Adams WaldorfClare WhiteheadHuixia YangKristian ThorlundJames M TielschWe 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.https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0270150&type=printable |
| spellingShingle | Emily R Smith Erin Oakley Siran He Rebecca Zavala Kacey Ferguson Lior Miller Gargi Wable Grandner Ibukun-Oluwa Omolade Abejirinde Yalda Afshar Homa Ahmadzia Grace Aldrovandi Victor Akelo Beth A Tippett Barr Elisa Bevilacqua Justin S Brandt Natalie Broutet Irene Fernández Buhigas Jorge Carrillo Rebecca Clifton Jeanne Conry Erich Cosmi Camille Delgado-López Hema Divakar Amanda J Driscoll Guillaume Favre Valerie Flaherman Christopher Gale Maria M Gil Christine Godwin Sami Gottlieb Olivia Hernandez Bellolio Edna Kara Sammy Khagayi Caron Rahn Kim Marian Knight Karen Kotloff Antonio Lanzone Kirsty Le Doare Christoph Lees Ethan Litman Erica M Lokken Valentina Laurita Longo Laura A Magee Raigam Jafet Martinez-Portilla Elizabeth McClure Torri D Metz Deborah Money Edward Mullins Jean B Nachega Alice Panchaud Rebecca Playle Liona C Poon Daniel Raiten Lesley Regan Gordon Rukundo Jose Sanin-Blair Marleen Temmerman Anna Thorson Soe Thwin Jorge E Tolosa Julia Townson Miguel Valencia-Prado Silvia Visentin Peter von Dadelszen Kristina Adams Waldorf Clare Whitehead Huixia Yang Kristian Thorlund James M Tielsch Protocol for a sequential, prospective meta-analysis to describe coronavirus disease 2019 (COVID-19) in the pregnancy and postpartum periods. PLoS ONE |
| title | Protocol for a sequential, prospective meta-analysis to describe coronavirus disease 2019 (COVID-19) in the pregnancy and postpartum periods. |
| title_full | Protocol for a sequential, prospective meta-analysis to describe coronavirus disease 2019 (COVID-19) in the pregnancy and postpartum periods. |
| title_fullStr | Protocol for a sequential, prospective meta-analysis to describe coronavirus disease 2019 (COVID-19) in the pregnancy and postpartum periods. |
| title_full_unstemmed | Protocol for a sequential, prospective meta-analysis to describe coronavirus disease 2019 (COVID-19) in the pregnancy and postpartum periods. |
| title_short | Protocol for a sequential, prospective meta-analysis to describe coronavirus disease 2019 (COVID-19) in the pregnancy and postpartum periods. |
| title_sort | protocol for a sequential prospective meta analysis to describe coronavirus disease 2019 covid 19 in the pregnancy and postpartum periods |
| url | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0270150&type=printable |
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