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.

Wilder-Smith, Annelies; Wei, Yinghui; Araújo, Thalia Velho Barreto de; VanKerkhove, Maria; Turchi Martelli, Celina Maria; Turchi, Marília Dalva; Teixeira, Mauro; Tami, Adriana; Souza, João; Sousa, Patricia; Soriano-Arandes, Antoni; Soria-Segarra, Carmen; Sanchez Clemente, Nuria; Rosenberger, Kerstin Daniela; Reveiz, Ludovic; Prata-Barbosa, Arnaldo; Pomar, Léo; Pelá Rosado, Luiza Emylce; Perez, Freddy; Passos, Saulo D; ... (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. BMJ Publishing Group 10.1136/bmjopen-2018-026092

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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.

TRIAL REGISTRATION NUMBER

PROSPERO International prospective register of systematic reviews (CRD42017068915).

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Pre-clinic Human Medicine > Institute of Social and Preventive Medicine (ISPM)

UniBE Contributor:

Low, Nicola

Subjects:

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

ISSN:

2044-6055

Publisher:

BMJ Publishing Group

Language:

English

Submitter:

Andrea Flükiger-Flückiger

Date Deposited:

25 Jun 2019 10:46

Last Modified:

24 Oct 2019 09:45

Publisher DOI:

10.1136/bmjopen-2018-026092

PubMed ID:

31217315

Uncontrolled Keywords:

Microcephaly Zika Virus congenital Zika syndrome individual participant data meta-analysisis prognosis risk prediction model

BORIS DOI:

10.7892/boris.131557

URI:

https://boris.unibe.ch/id/eprint/131557

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