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
PubMed
Abstract

Insights

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.