Effects of maternal influenza vaccination on adverse birth outcomes: A systematic review and Bayesian meta-analysis

Sohyun Jeong, Eun Jin Jang, Junwoo Jo and Sunmee Jang

PLOS ONE, 2019, vol. 14, issue 8, 1-17

Abstract: Background: Although pregnant women are a priority group for influenza vaccination, its effect on birth outcomes has long been debated. Numerous observational studies and a few randomized controlled studies have been conducted, with inconsistent results. Objectives: To evaluate the association of influenza vaccination in pregnancy with adverse birth outcomes. Data source: The Cochrane Library, PubMed, EMBASE, Web of Science, and Scopus were searched. Study eligibility criteria: This analysis included randomized placebo-controlled studies, cohort studies, and case-control studies, in which inactivated influenza vaccination was given during pregnancy and fetal adverse birth outcomes were assessed. Participants & intervention: Women who received inactivated influenza vaccine during pregnancy and their offspring. Study appraisal and synthesis: Two independent reviewers and a third reviewer collaborated in study selection and data extraction. A Bayesian 3-level random-effects model was utilized to assess the impact of maternal influenza vaccination on birth outcomes, which were presented as odds ratios (ORs) with 95% credible interval (CrIs). Bayesian outcome probabilities (P) of an OR

Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0220910

DOI: 10.1371/journal.pone.0220910

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