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A Protocol for Comprehensive Assessment of Bulbar Dysfunction in Amyotrophic Lateral Sclerosis ALS
Published on: February 21, 2011
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Living systematic review and comprehensive network meta-analysis of ALS clinical trials: study protocol
Floris T Van Loon1, Georgios Seitidis2, Dimitris Mavridis3
1Department of Neurology, University Medical Center Utrecht, Utrecht, The Netherlands.
BMJ Open
|November 1, 2024
Summary
This systematic review synthesizes evidence from amyotrophic lateral sclerosis (ALS) clinical trials to identify effective treatments. The findings will create a living overview of the ALS therapeutic landscape for future research.
Area of Science:
- Neuroscience
- Clinical Trials
- Evidence Synthesis
Background:
- Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease with no current effective treatments.
- Numerous clinical trials have yielded limited success in altering disease progression.
- Synthesizing existing trial data can overcome individual study limitations and identify patient subgroups.
Purpose of the Study:
- To conduct a systematic review and network meta-analysis of clinical trials for amyotrophic lateral sclerosis (ALS).
- To refine the assessment of therapeutic efficacy in specific patient subgroups and evaluate intervention characteristics.
- To rank promising therapeutic areas and generate hypotheses for future ALS research.
Main Methods:
- Systematic review of pharmaceutical therapies, cell therapies, and supplements for ALS.
- Data collection from PubMed, Embase, and ClinicalTrials.gov (1999-2023).
- Meta-analysis of individual and aggregate patient data, presented in an open-source web application.
Main Results:
- The study aims to synthesize available evidence from ALS clinical trials.
- Network meta-analysis will assess efficacy in patient subgroups and rank interventions.
- A living, open-source web application will provide biannual updates on ALS trial data.
Conclusions:
- This synthesis will provide a comprehensive overview of the ALS clinical trial landscape.
- Findings will inform future research by identifying promising therapeutic strategies and patient subgroups.
- The living web application will serve as a dynamic resource for the ALS research community.

