Verani Jennifer R, Baqui Abdullah H, Broome Claire V, Cherian Thomas, Cohen Cheryl, Farrar Jennifer L, Feikin Daniel R, Groome Michelle J, Hajjeh Rana A, Johnson Hope L, Madhi Shabir A, Mulholland Kim, O'Brien Katherine L, Parashar Umesh D, Patel Manish M, Rodrigues Laura C, Santosham Mathuram, Scott J Anthony, Smith Peter G, Sommerfelt Halvor, Tate Jacqueline E, Victor J Chris, Whitney Cynthia G, Zaidi Anita K, Zell Elizabeth R
National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, 1600 Clifton Rd, Atlanta, GA, USA.
International Center for Maternal and Newborn Health, Johns Hopkins Bloomberg School of Public Health, 615 N Wolfe St, Baltimore, MD, USA.
Vaccine. 2017 Jun 5;35(25):3303-3308. doi: 10.1016/j.vaccine.2017.04.035. Epub 2017 Apr 23.
The case-control methodology is frequently used to evaluate vaccine effectiveness post-licensure. The results of such studies provide important insight into the level of protection afforded by vaccines in a 'real world' context, and are commonly used to guide vaccine policy decisions. However, the potential for bias and confounding are important limitations to this method, and the results of a poorly conducted or incorrectly interpreted case-control study can mislead policies. In 2012, a group of experts met to review recent experience with case-control studies evaluating vaccine effectiveness; we summarize the recommendations of that group regarding best practices for data collection, analysis, and presentation of the results of case-control vaccine effectiveness studies. Vaccination status is the primary exposure of interest, but can be challenging to assess accurately and with minimal bias. Investigators should understand factors associated with vaccination as well as the availability of documented vaccination status in the study context; case-control studies may not be a valid method for evaluating vaccine effectiveness in settings where many children lack a documented immunization history. To avoid bias, it is essential to use the same methods and effort gathering vaccination data from cases and controls. Variables that may confound the association between illness and vaccination are also important to capture as completely as possible, and where relevant, adjust for in the analysis according to the analytic plan. In presenting results from case-control vaccine effectiveness studies, investigators should describe enrollment among eligible cases and controls as well as the proportion with no documented vaccine history. Emphasis should be placed on confidence intervals, rather than point estimates, of vaccine effectiveness. Case-control studies are a useful approach for evaluating vaccine effectiveness; however careful attention must be paid to the collection, analysis and presentation of the data in order to best inform evidence-based vaccine policies.
病例对照研究方法常用于评估疫苗获批后的有效性。此类研究结果为疫苗在“现实世界”环境中的保护水平提供了重要见解,并通常用于指导疫苗政策决策。然而,偏倚和混杂因素的可能性是该方法的重要局限性,开展不佳或解读错误的病例对照研究结果可能会误导政策。2012年,一组专家会面回顾了评估疫苗有效性的病例对照研究的近期经验;我们总结了该小组关于病例对照疫苗有效性研究数据收集、分析和结果呈现最佳实践的建议。疫苗接种状况是主要的关注暴露因素,但准确评估且偏差最小具有挑战性。研究人员应了解与疫苗接种相关的因素以及研究环境中疫苗接种状况记录的可得性;在许多儿童缺乏免疫接种记录的环境中,病例对照研究可能不是评估疫苗有效性的有效方法。为避免偏倚,从病例和对照中收集疫苗接种数据时使用相同的方法并付出相同的努力至关重要。可能混淆疾病与疫苗接种之间关联的变量也应尽可能全面地捕捉,并在相关情况下根据分析计划在分析中进行调整。在呈现病例对照疫苗有效性研究结果时,研究人员应描述符合条件的病例和对照的入组情况以及无疫苗接种记录的比例。应强调疫苗有效性的置信区间而非点估计值。病例对照研究是评估疫苗有效性的一种有用方法;然而,必须仔细关注数据的收集、分析和呈现,以便为基于证据的疫苗政策提供最佳信息。