Related Experiment Video
Updated: May 12, 2026

High-throughput Screening for Chemical Modulators of Post-transcriptionally Regulated Genes
Published on: March 3, 2015
Planning multi-arm screening studies within the context of a drug development program
James M S Wason1, Thomas Jaki, Nigel Stallard
1Hub for Trials Methodology Research, MRC Biostatistics Unit, Cambridge, U.K. james.wason@mrc-bsu.cam.ac.uk
Abstract:
Screening trials are small trials used to decide whether an intervention is sufficiently promising to warrant a large confirmatory trial. Previous literature examined the situation where treatments are tested sequentially until one is considered sufficiently promising to take forward to a confirmatory trial. An important consideration for sponsors of clinical trials is how screening trials should be planned to maximize the efficiency of the drug development process. It has been found previously that small screening trials are generally the most efficient. In this paper we consider the design of screening trials in which multiple new treatments are tested simultaneously. We derive analytic formulae for the expected number of patients until a successful treatment is found, and propose methodology to search for the optimal number of treatments, and optimal sample size per treatment. We compare designs in which only the best treatment proceeds to a confirmatory trial and designs in which multiple treatments may proceed to a multi-arm confirmatory trial. We find that inclusion of a large number of treatments in the screening trial is optimal when only one treatment can proceed, and a smaller number of treatments is optimal when more than one can proceed. The designs we investigate are compared on a real-life set of screening designs.
Insights
This study optimizes clinical trial screening by simultaneously testing multiple treatments. It finds that including many treatments is best when only one proceeds, but fewer are optimal when multiple can advance.
Area of Science:
- Clinical Trial Design
- Pharmaceutical Development
- Biostatistics
Background:
- Screening trials identify promising interventions for large confirmatory trials.
- Previous research focused on sequential testing of treatments.
- Optimizing screening trial efficiency is crucial for drug development sponsors.
Purpose of the Study:
- To investigate simultaneous multi-treatment screening trial designs.
- To develop methods for finding optimal numbers of treatments and sample sizes per treatment.
- To compare different screening and confirmatory trial progression strategies.
Main Methods:
- Derivation of analytic formulae for expected patients to find a successful treatment.
- Methodology for optimizing the number of simultaneous treatments and sample size per treatment.
- Comparison of screening designs with single-treatment vs. multi-treatment confirmatory trials.
Main Results:
- Simultaneous multi-treatment screening can be more efficient than sequential testing.
- Optimal number of treatments depends on whether one or multiple treatments advance.
- A large number of treatments is optimal when only one proceeds; fewer treatments are optimal when multiple can proceed.
Conclusions:
- Simultaneous screening trial designs offer an efficient alternative to sequential testing.
- The optimal design balances the number of treatments and sample size per treatment.
- Findings provide practical guidance for planning efficient drug development screening phases.
More Related Videos
Related Concept Videos
Preclinical Development: Overview
Drug Discovery: Overview
Clinical Trials: Overview
Bioavailability Study Design: Single Versus Multiple Dose Studies
Structure-Activity Relationships and Drug Design
SAR studies the intricate relationship between a drug's chemical structure and biological activity. It focuses on understanding how modifications to a drug's structure can influence its...
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...

