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

dc.creatorWilder-Smith, Annelies
dc.creatorYinghui, Wei
dc.creatorAraújo, Thalia Velho Barreto de
dc.creatorKerkhove, Maria Van
dc.creatorMartelli, Celina Maria Turchi
dc.creatorTurchi, Marília Dalva
dc.creatorTeixeira, Mauro
dc.creatorKimura, Adriana Tami
dc.creatorSouza, João Paulo Dias de
dc.creatorSousa, Patrícia da Silva
dc.date.accessioned2025-02-20T11:24:46Z
dc.date.available2025-02-20T11:24:46Z
dc.date.issued2019
dc.description.abstractIntroduction 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. Trial registration number PROSPERO International prospective register of systematic reviews (CRD42017068915).
dc.identifier.citationWILDER-SMITH, Annelies et al. 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, London, v. 9, n. 6, e026092, 2019. DOI: 10.1136/bmjopen-2018-026092. Disponível em: https://bmjopen.bmj.com/content/9/6/e026092.long. Acesso em: 18 fev. 2025.
dc.identifier.doi10.1136/bmjopen-2018-026092
dc.identifier.issne- 2044-6055
dc.identifier.urihttp://repositorio.bc.ufg.br//handle/ri/26728
dc.language.isoeng
dc.publisher.countryGra-bretanha
dc.publisher.departmentInstituto de Patologia Tropical e Saúde Pública - IPTSP (RMG)
dc.rightsAcesso Aberto
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.titleUnderstanding 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
dc.typeArtigo

Arquivos

Pacote Original

Agora exibindo 1 - 1 de 1
Carregando...
Imagem de Miniatura
Nome:
Artigo - Annelies Wilder-Smith - 2019.pdf
Tamanho:
459.02 KB
Formato:
Adobe Portable Document Format

Licença do Pacote

Agora exibindo 1 - 1 de 1
Carregando...
Imagem de Miniatura
Nome:
license.txt
Tamanho:
1.71 KB
Formato:
Item-specific license agreed upon to submission
Descrição: