Use of Non-concurrent Common Control in Master Protocols in Oncology Trials: Report of an American Statistical Association Biopharmaceutical Section Open Forum Discussion

Autor: Qi Jiang, Rajeshwari Sridhara, Thomas E. Gwise, Martin Posch, Cindy Lu, Richard Simon, Andrew Raven, Mary W. Redman, Lorenzo Hess, Yuan Li Shen, Kit C.B. Roes, R. Pazdur, Olga Marchenko, Yuan Ji, Scott Berry, Marc R. Theoret, Khadija Rantell
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Popis: This article summarizes the discussions from the American Statistical Association (ASA) Biopharmaceutical (BIOP) Section Open Forum that took place on December 10, 2020 and was organized by the ASA BIOP Statistical Methods in Oncology Scientific Working Group, in coordination with the U.S. FDA Oncology Center of Excellence. Diverse stakeholders including experts from international regulatory agencies, academicians, and representatives of the pharmaceutical industry engaged in a discussion on the use of nonconcurrent control in Master Protocols for oncology trials. While the use of nonconcurrent control with the concurrent control may increase the power of detecting the therapeutic difference between a treatment and the control, the panelists had diverse opinion on the statistical approaches for modeling nonconcurrent and concurrent controls. Some were more concerned about the temporality of the nonconcurrent control and bias introduced by different confounders related to time, for example, changes in standard of care, changes in patient population, changes in recruiting strategies, changes in assessment of endpoints. Nevertheless, in some situations such as when the recruitment is extremely challenging for a rare disease, the panelists concluded that the use of a nonconcurrent control can be justified.
Databáze: OpenAIRE