Statistics in Biopharmaceutical Research | 2021

Planning for the Next Pandemic: Ethics and Innovation Today for Improved Clinical Trials Tomorrow

 
 
 
 
 
 
 

Abstract


The coronavirus pandemic has brought public attention to the steps required to produce valid scientific clinical research in drug development Traditional ethical principles that guide clinical research remain the guiding compass for physicians, patients, public health officials, investigators, drug developers and the public Accelerating the process of delivering safe and effective treatments and vaccines against COVID-19 is a moral imperative The apparent clash between the regulated system of phased randomized clinical trials and urgent public health need requires leveraging innovation with ethical scientific rigor We reflect on the Belmont principles of autonomy, beneficence and justice as the pandemic unfolds, and illustrate the role of innovative clinical trial designs in alleviating pandemic challenges Our discussion highlights selected types of innovative trial design and correlates them with ethical parameters and public health benefits Details are provided for platform trials and other innovative designs such as basket and umbrella trials, designs leveraging external data sources, multi-stage seamless trials, preplanned control arm data sharing between larger trials, and higher order systems of linked trials coordinated more broadly between individual trials and phases of development, recently introduced conceptually as “PIPELINEs” [ABSTRACT 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 abstract 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 abstract (Copyright applies to all Abstracts )

Volume None
Pages 1-10
DOI 10.1080/19466315.2021.1918236
Language English
Journal Statistics in Biopharmaceutical Research

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