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|Title:||Understanding the relation between Zika virus infection during pregnancy and adverse fetal, infant and child outcomes : a protocol for a systematic review and individual participant data meta-analysis of longitudinal studies of pregnant women and their infants and children||Authors:||Wilder-Smith, Annelies
Araújo, Thalia Velho Barreto de
Martelli, Celina Maria Turchi
Turchi, Marília Dalva
Clemente, Nuria Sanchez
Rosenberger, Kerstin Daniela
Rosado, Luiza Emylce Pelá
Passos, Saulo D.
Noel, Trevor P.
Da Silva, Antônio Moura
Moreira, Maria Elisabeth
Montoya, Maria Consuelo Miranda
Miranda-Filho, Demócrito de Barros
Macpherson, Calum N. L.
LaBeaud, Angelle Desiree
Hofer, Cristina Barroso
Ganz, Jucelia S.
Dias, Ana Carolina Fialho
Debray, Thomas Paul Alfons
Cafferata, María Luisa
Brickley, Elizabeth B.
Avelino-Silva, Vivian Lida
Ximenes, Ricardo Arraes de Alencar
Da Cunha, Antonio Alves
Congenital Zika Syndrome (CZS)
|Issue Date:||2019||Source:||Wilder-Smith, A., Wei, Y., Da Araujo, T. V. B., VanKerkhove, M., Martelli, C. M. T., Turchi, M. D., . . . Alger, J. (2019). Understanding the relation between Zika virus infection during pregnancy and adverse fetal, infant and child outcomes: a protocol for a systematic review and individual participant data meta-analysis of longitudinal studies of pregnant women and their infants and children. BMJ Open, 9(6), e026092-. doi:10.1136/bmjopen-2018-026092||Series/Report no.:||BMJ Open||Abstract:||Introduction: Zika virus (ZIKV) infection during pregnancy is a known cause of microcephaly and other congenital and developmental anomalies. In the absence of a ZIKV vaccine or prophylactics, principal investigators (PIs) and international leaders in ZIKV research have formed the ZIKV Individual Participant Data (IPD) Consortium to identify, collect and synthesise IPD from longitudinal studies of pregnant women that measure ZIKV infection during pregnancy and fetal, infant or child outcomes. Methods and analysis: We will identify eligible studies through the ZIKV IPD Consortium membership and a systematic review and invite study PIs to participate in the IPD meta-analysis (IPD-MA). We will use the combined dataset to estimate the relative and absolute risk of congenital Zika syndrome (CZS), including microcephaly and late symptomatic congenital infections; identify and explore sources of heterogeneity in those estimates and develop and validate a risk prediction model to identify the pregnancies at the highest risk of CZS or adverse developmental outcomes. The variable accuracy of diagnostic assays and differences in exposure and outcome definitions means that included studies will have a higher level of systematic variability, a component of measurement error, than an IPD-MA of studies of an established pathogen. We will use expert testimony, existing internal and external diagnostic accuracy validation studies and laboratory external quality assessments to inform the distribution of measurement error in our models. We will apply both Bayesian and frequentist methods to directly account for these and other sources of uncertainty. Ethics and dissemination: The IPD-MA was deemed exempt from ethical review. We will convene a group of patient advocates to evaluate the ethical implications and utility of the risk stratification tool. Findings from these analyses will be shared via national and international conferences and through publication in open access, peer-reviewed journals.||URI:||https://hdl.handle.net/10356/90043
|DOI:||http://dx.doi.org/10.1136/bmjopen-2018-026092||Rights:||© 2019 Author(s). Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/.||Fulltext Permission:||open||Fulltext Availability:||With Fulltext|
|Appears in Collections:||LKCMedicine Journal Articles|
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