On the use of non-concurrent controls in platform trials: A scoping review
Marta Bofill Roig, Cora Burgwinkel, Ursula Garczarek, Franz Koenig,, Martin Posch, Quynh Nguyen, Katharina Hees

TL;DR
This paper reviews methods and regulatory perspectives on incorporating non-concurrent controls in platform trials, highlighting potential biases and the importance of appropriate methodology for valid inference.
Contribution
It systematically reviews existing methods for using non-concurrent controls and summarizes regulatory guidance, clarifying key concepts and assumptions.
Findings
Identifies available methods for non-concurrent control incorporation
Summarizes regulatory guidance and key considerations
Discusses advantages and caveats of non-concurrent controls
Abstract
Platform trials gained popularity during the last few years as they increase flexibility compared to multi-arm trials by allowing new experimental arms entering when the trial already started. Using a shared control group in platform trials increases the trial efficiency compared to separate trials. Because of the later entry of some of the experimental treatment arms, the shared control group includes concurrent and non-concurrent control data. For a given experimental arm, non-concurrent controls refer to patients allocated to the control arm before the arm enters the trial, while concurrent controls refer to control patients that are randomised concurrently to the experimental arm. Using non-concurrent controls can result in bias in the estimate in case of time trends if the appropriate methodology is not used and the assumptions are not met. In this paper, we faced two main…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsStatistical Methods in Clinical Trials · Health Systems, Economic Evaluations, Quality of Life · Advanced Causal Inference Techniques
