Global Disease Burden of Respiratory Syncytial Virus in Preterm Children in 2019: A Systematic Review and Individual Participant Data Meta-Analysis Protocol.

Xin Wang, You Li, T. Shi, Yiming Ma, Bhanu Wahi-Singh, R. Riley, H. Nair
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引用次数: 2

Abstract

Existing guidelines on respiratory syncytial virus (RSV) prophylaxis differ greatly by gestational age (GA) and other underlying risk factors, highlighting the data gaps in RSV disease burden among preterm infants. We will conduct a systematic review and individual participant data (IPD) meta-analysis of RSV global disease burden among preterm-born children. Three databases, Medline, Embase, and Global Health, will be searched for relevant studies on RSV disease burden for 2019 or before in preterm-born children published between 1 January 1995 and 31 December 2021. IPD will be sought by contacting the investigators identified from published literature and from existing collaboration networks. One-stage and 2-stage random-effects meta-analyses will be used to combine information from IPD and non-IPD studies to produce summary RSV burden estimates of incidence rate, hospital admission rate, and in-hospital case fatality ratio. The framework will be extended to examine subgroup(s) with the most substantial RSV disease burden.
2019年全球早产儿呼吸道合胞病毒疾病负担:系统评价和个体参与者数据荟萃分析方案
现有呼吸道合胞病毒(RSV)预防指南因胎龄(GA)和其他潜在危险因素而有很大差异,突出了早产儿RSV疾病负担方面的数据差距。我们将对RSV全球早产儿疾病负担进行系统评价和个体参与者数据(IPD)荟萃分析。将检索Medline、Embase和Global Health三个数据库,查找1995年1月1日至2021年12月31日期间发表的关于2019年或之前早产儿RSV疾病负担的相关研究。将通过联系从已发表文献和现有合作网络中确定的调查人员来寻求IPD。一阶段和两阶段随机效应荟萃分析将用于合并来自IPD和非IPD研究的信息,以得出RSV发病率、住院率和住院病死率的总结性负担估计。该框架将扩展到具有最严重RSV疾病负担的亚组。
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