Speaker
Laura Esserman, MD, MBA
Director, UCSF Carol Franc Buck Breast Care Center
Alfred A. de Lorimier Endowed Chair in General Surgery
Professor of Surgery and Radiology, UCSF
Topic
Adaptive Platform Trials: Scalable from Breast Cancer to COVID
Keywords
COVID-19; Adaptive platform trial; Study design; Learning healthcare system; Collaborative research
Key Points
- Adaptive trial design is an innovative, collaborative approach with the potential to maximize learning about treatments so as to prioritize therapeutic agents and drive better patient outcomes.
- Adaptive platform trials are designed to identify early endpoints that can be captured in the course of care. Multiple agents are evaluated simultaneously, and those with a potential for big impact are advanced quickly.
- As a “learning engine,” adaptive platform trials could be used to accelerate high-impact treatments for COVID-19 and future pandemics.
Discussion Themes
Essential to an adaptive platform trial are checklists of data and nimble EHR tools that evolve as the disease evolves.
What is the process to monitor for and make the decision to modify the standard of care backbone?
Read more about adaptive platform trials at the I-SPY Trials website and a recent Grand Rounds presentation, Optimized Learning While Doing: The REMAP-CAP Adaptive Platform Trial.
Tags
#pctGR, @Collaboratory1