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Updated: Jul 24, 2025

A Protocol for Comprehensive Assessment of Bulbar Dysfunction in Amyotrophic Lateral Sclerosis ALS
Published on: February 21, 2011
Hybrid Controlled Clinical Trials Using Concurrent Registries in Amyotrophic Lateral Sclerosis: A Feasibility Study.
Ruben P A van Eijk1,2, Leonard H van den Berg2, Kit C B Roes3
1Department of Biomedical Data Science and Centre for Innovative Study Design, School of Medicine, Stanford University, Stanford, California, USA.
Hybrid clinical trial designs using concurrent registries enhance efficiency. Augmenting randomized controls with external data can reduce patient numbers and trial duration for amyotrophic lateral sclerosis (ALS) treatments.
Area of Science:
- Clinical Trial Design
- Biostatistics
- Neurodegenerative Diseases
Background:
- Hybrid trial designs combine randomized arms with external controls.
- Concurrent patient registries offer high-quality data for augmenting clinical trials.
- Amyotrophic lateral sclerosis (ALS) drug development faces challenges in trial efficiency.
Purpose of the Study:
- To leverage patient-level data from concurrent registries to enhance clinical trials.
- To evaluate the impact of external controls on treatment effect estimates, precision, and trial duration.
- To illustrate the application in amyotrophic lateral sclerosis (ALS) trial design.
Main Methods:
- Utilized a well-defined, population-based registry running parallel to a randomized, placebo-controlled trial.
- Identified and matched concurrently nonparticipating, eligible registry patients with trial participants.
- Integrated external controls into the statistical analysis to assess their impact.
Main Results:
- A matched external control population was identified from nonparticipating registry patients.
- Augmenting with external controls could have reduced randomization by 12.8% (17 patients).
- Study duration could have been shortened by 25.0% (from 30.1 to 22.6 months).
Conclusions:
- Hybrid designs using concurrent registries and rigorous matching can accelerate new treatment development.
- Careful matching minimizes bias from calendar time and standard of care differences.
- This approach enhances clinical trial efficiency and reduces the need for unnecessary randomization.
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