Vaccine development during a pandemic: General lessons for clinical trial design

IF 1.5 4区 医学 Q3 MATHEMATICAL & COMPUTATIONAL BIOLOGY Statistics in Biopharmaceutical Research Pub Date : 2023-05-09 DOI:10.1080/19466315.2023.2211538
B. Hofner, E. Asikanius, W. Jacquet, T. Framke, K. Oude Rengerink, L. Aguirre Dávila, Maria Grünewald, Florian Klinglmüller, M. Posch, Finbarr P. Leacy, Thomas Lang, Armin Koch, J. Zinserling, Kit Roes
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Abstract

The COVID-19 pandemic triggered an unprecedented research effort to develop vaccines and therapeutics. Urgency dictated that development and regulatory assessment were accelerated, while maintaining all standards for quality, safety and efficacy. To speed up evaluation the European Medicines Agency (EMA) implemented "rolling reviews” allowing developers to submit data for assessment as they became available.We discuss the clinical trial designs and the applied statistical approaches in vaccine efficacy trials, focusing on aspects such as multiple testing, interim and updated analyses, and reporting of results for the first four vaccines recommended for approval by the EMA. The fast accrual of COVID-19 cases in the clinical vaccine efficacy trials led to multiple data updates within a short time frame, which had consequences for the evaluation and interpretation of results. Key trial results are discussed in the light of these aspects. Notably, the aspects discussed did not affect the benefit/risk relationship in a meaningful way, which was clearly positive for all four vaccines.Assessment of the development and evaluation of the four vaccine trials during the pandemic has led to a proposal for standardised terminology for trials with multiple analyses and a recommendation to appropriately pre-plan the timing of primary and updated analyses. For the reporting of updated estimates of vaccine efficacy, we discuss how to best describe the uncertainty around estimates of vaccine efficacy (e.g., via confidence intervals). Finally, we briefly highlight the benefit of a comprehensive discussion on estimands for vaccine efficacy trials. [ FROM AUTHOR] Copyright of Statistics in Biopharmaceutical Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
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大流行期间的疫苗开发:临床试验设计的一般经验教训
新冠肺炎大流行引发了开发疫苗和疗法的前所未有的研究努力。紧迫性要求加快开发和监管评估,同时保持质量、安全性和有效性的所有标准。为了加快评估,欧洲药品管理局(EMA)实施了“滚动审查”允许开发人员在数据可用时提交数据进行评估。我们讨论了临床试验设计和疫苗疗效试验中应用的统计方法,重点讨论了多项测试、中期和更新分析以及EMA建议批准的前四种疫苗的结果报告等方面。新冠肺炎病例的快速累积s在临床疫苗疗效试验中导致在短时间内多次更新数据,这对结果的评估和解释产生了影响。根据这些方面讨论了关键的试验结果。值得注意的是,所讨论的方面并没有以有意义的方式影响收益/风险关系,这对所有四种疫苗都是积极的。对疫情期间四项疫苗试验的开发和评估进行了评估,提出了一项针对多项分析试验的标准化术语建议,并建议适当预先规划初步和更新分析的时间。为了报告疫苗效力的最新估计,我们讨论了如何最好地描述疫苗效力估计的不确定性(例如,通过置信区间)。最后,我们简要强调了全面讨论疫苗疗效试验要求的好处。[作者]生物制药研究统计的版权归Taylor&Francis Ltd所有,未经版权持有人明确书面许可,不得将其内容复制或通过电子邮件发送到多个网站或发布到listserv。但是,用户可以打印、下载或通过电子邮件发送文章供个人使用。这可能会被删节。对复印件的准确性不作任何保证。用户应参考材料的原始发布版本以获取完整信息。(版权适用于所有人。)
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来源期刊
Statistics in Biopharmaceutical Research
Statistics in Biopharmaceutical Research MATHEMATICAL & COMPUTATIONAL BIOLOGY-STATISTICS & PROBABILITY
CiteScore
3.90
自引率
16.70%
发文量
56
期刊介绍: Statistics in Biopharmaceutical Research ( SBR), publishes articles that focus on the needs of researchers and applied statisticians in biopharmaceutical industries; academic biostatisticians from schools of medicine, veterinary medicine, public health, and pharmacy; statisticians and quantitative analysts working in regulatory agencies (e.g., U.S. Food and Drug Administration and its counterpart in other countries); statisticians with an interest in adopting methodology presented in this journal to their own fields; and nonstatisticians with an interest in applying statistical methods to biopharmaceutical problems. Statistics in Biopharmaceutical Research accepts papers that discuss appropriate statistical methodology and information regarding the use of statistics in all phases of research, development, and practice in the pharmaceutical, biopharmaceutical, device, and diagnostics industries. Articles should focus on the development of novel statistical methods, novel applications of current methods, or the innovative application of statistical principles that can be used by statistical practitioners in these disciplines. Areas of application may include statistical methods for drug discovery, including papers that address issues of multiplicity, sequential trials, adaptive designs, etc.; preclinical and clinical studies; genomics and proteomics; bioassay; biomarkers and surrogate markers; models and analyses of drug history, including pharmacoeconomics, product life cycle, detection of adverse events in clinical studies, and postmarketing risk assessment; regulatory guidelines, including issues of standardization of terminology (e.g., CDISC), tolerance and specification limits related to pharmaceutical practice, and novel methods of drug approval; and detection of adverse events in clinical and toxicological studies. Tutorial articles also are welcome. Articles should include demonstrable evidence of the usefulness of this methodology (presumably by means of an application). The Editorial Board of SBR intends to ensure that the journal continually provides important, useful, and timely information. To accomplish this, the board strives to attract outstanding articles by seeing that each submission receives a careful, thorough, and prompt review. Authors can choose to publish gold open access in this journal.
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