Risk-of-bias assessment of vaccine effectiveness studies: a scoping review of systematic reviews.

IF 2.5 4区 医学 Q3 INFECTIOUS DISEASES
Zahra Davoodi, Cassandra Laurie, Kylie Tingley, Becky Skidmore, Nicole Shaver, Maria E Sundaram, Deshayne B Fell, Melissa Brouwers, Giorgia Sulis
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Abstract

Observational vaccine effectiveness (VE) studies provide essential real-world evidence but are prone to bias. Valid synthesis relies on rigorous risk-of-bias (RoB) assessment in systematic reviews of VE studies. Following JBI guidance, we mapped and described RoB assessment methodologies in systematic reviews of VE studies. We searched MEDLINE, Embase, and Web of Science from 1 January 2013 to 17 May 2023 and the grey literature from 1 January 2018 to 15 August 2023. Of 367 identified reviews, 38 lacked any RoB assessment, yielding 203 systematic reviews. Of these, 190 used existing tools (NOS (85/190, 44.7%), ROBINS-I (46/190, 24.2%), and JBI (11/190, 5.8%)) and 13 used an author-developed tool (13/203, 6.4%). Tools were adapted in 16.7% (34/203) of reviews and 7.2% (14/203) used multiple tools. Reviews included 20 (±25.7) observational studies, commonly cohorts (175/203, 86.2%), with COVID-19 (66/203, 32.5%) and seasonal influenza (62/203, 30.5%) frequently studied. VE was reported descriptively in 25.1% (51/203) of reviews, while 74.9% (152/203) provided meta-analyzed estimates primarily based on laboratory-confirmed infection (137/203, 67.5%) and symptomatic disease (130/203, 64.0%). Our findings indicate heterogeneous RoB assessment, reflected by use of different/multiple tools, frequent adaptations, author-developed methods, and absence of RoB assessment, highlighting the need for clearer guidance or tailored tools.

疫苗有效性研究的偏倚风险评估:系统评价的范围评价。
观察性疫苗有效性(VE)研究提供了必要的真实证据,但容易存在偏差。有效的综合依赖于VE研究系统评价中严格的偏倚风险(RoB)评估。根据JBI的指导,我们在VE研究的系统综述中绘制和描述了RoB评估方法。我们检索了2013年1月1日至2023年5月17日的MEDLINE、Embase和Web of Science,以及2018年1月1日至2023年8月15日的灰色文献。在367个确定的评价中,38个缺乏任何RoB评估,产生203个系统评价。其中190例使用现有工具(NOS(85/190, 44.7%)、ROBINS-I(46/190, 24.2%)和JBI(11/190, 5.8%)), 13例使用作者开发的工具(13/203,6.4%)。16.7%(34/203)的评价采用了工具,7.2%(14/203)的评价使用了多种工具。综述包括20(±25.7)项观察性研究,常见队列(175/203,86.2%),其中常见的是COVID-19(66/203, 32.5%)和季节性流感(62/203,30.5%)。25.1%(51/203)的综述描述性地报道了VE,而74.9%(152/203)的综述主要基于实验室确诊感染(137/203,67.5%)和症状性疾病(130/203,64.0%)提供了meta分析估计。我们的研究结果表明,使用不同/多种工具、频繁调整、作者开发的方法以及缺乏罗布评估反映了罗布评估的异质性,这突出了需要更清晰的指导或量身定制的工具。
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来源期刊
Epidemiology and Infection
Epidemiology and Infection 医学-传染病学
CiteScore
4.10
自引率
2.40%
发文量
366
审稿时长
3-6 weeks
期刊介绍: Epidemiology & Infection publishes original reports and reviews on all aspects of infection in humans and animals. Particular emphasis is given to the epidemiology, prevention and control of infectious diseases. The scope covers the zoonoses, outbreaks, food hygiene, vaccine studies, statistics and the clinical, social and public-health aspects of infectious disease, as well as some tropical infections. It has become the key international periodical in which to find the latest reports on recently discovered infections and new technology. For those concerned with policy and planning for the control of infections, the papers on mathematical modelling of epidemics caused by historical, current and emergent infections are of particular value.
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