23 Data and Safety Monitoring of Clinical Trials During Public Health Emergencies

Author:

Proschan Michael A.,Grund Birgit

Abstract

AbstractPublic health emergencies present special challenges in the monitoring of clinical trials. There is tremendous pressure to find effective treatments as quickly as possible without jeopardizing the integrity of results. Frequent early monitoring from an experienced data and safety monitoring board (DSMB) is required to ensure patient safety, especially when novel or repurposed interventions may be tested earlier than they would be in a nonemergency setting. This chapter begins by reviewing general monitoring, including the purpose, composition, and operation of DSMBs, efficacy monitoring boundaries, tools such as conditional power and predicted interval plots for judging whether continuation of a trial is futile, and practical aspects of monitoring clinical trials. We offer important historical examples, like the Cardiac Arrhythmia Suppression Trial (CAST), as well as more recent examples specific to infectious disease, such as the Adaptive COVID-19 Treatment Trial (ACTT-1). We highlight the special challenges posed by monitoring clinical trials in public health emergencies and illustrate these with a case study of the Partnership for Research on Ebola Vaccines in Liberia (PREVAIL-I) vaccine trial in West Africa. We conclude with important lessons learned.

Publisher

Springer International Publishing

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3