Trial reportBMJ open2022
Motor Neuron Disease Systematic Multi-Arm Adaptive Randomised Trial (MND-SMART): a multi-arm, multi-stage, adaptive, platform, phase III randomised, double-blind, placebo-controlled trial of repurposed drugs in motor neuron disease.
Trial report in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04302870 (Motor Neurone Disease - Systematic Multi-Arm Adaptive Randomised Trial), which is not on this map. Cited by 21 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Motor Neurone Disease - Systematic Multi-Arm Adaptive Randomised Trial
Who cites it
21 citing papers in PubMed, 3 syntheses or guidelines pooled it, 34 citations in OpenAlex.
- Biomarkers in ALS trials: from discovery to clinical utility.Frontiers in neuroscience · 2025Pooled it
- Trial Participation in Neurodegenerative Diseases: Barriers and Facilitators: A Systematic Review and Meta-Analysis.Neurology · 2024Pooled it
- Pooled it
- Article
- Targeting non-apoptotic regulated cell death (RCD) to treat neurodegenerative diseases.Acta pharmaceutica Sinica. B · 2026Review
- Repurposed drug prioritization pipeline for a multi-arm platform trial in clinical Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Large-scale drug screening in iPSC-derived motor neurons from sporadic ALS patients identifies a potential combinatorial therapy.Nature neuroscience · 2026Article
- The patient-centric development of an inclusive multi-arm multi-stage trial for Parkinson's disease.Brain communications · 2026Article
- Article
- Neuroprotection in Parkinson Disease.Neurology and therapy · 2025Review
- Treatment Selection and Prioritization for the EJS ACT-PD MAMS Trial Platform.Movement disorders : official journal of the Movement Disorder Society · 2025Article
- Rethinking phase 2 trials in amyotrophic lateral sclerosis.Brain : a journal of neurology · 2025Article
- ALS: A Silent Slayer of Motor Neurons. Traditional Chinese Herbal Medicine as an Effective Therapy.Current pharmaceutical design · 2025Review
- Living systematic review and comprehensive network meta-analysis of ALS clinical trials: study protocol.BMJ open · 2024Article
- The importance of clinical importance when determining the target difference in sample size calculations.Trials · 2023Article
- Review
- Opinion: more mouse models and more translation needed for ALS.Molecular neurodegeneration · 2023Review
- Statistical analysis plan for the motor neuron disease systematic multi-arm adaptive randomised trial (MND-SMART).Trials · 2023Article
- A multi-disciplinary commentary on preclinical research to investigate vascular contributions to dementia.Cerebral circulation - cognition and behavior · 2023Review
- Pharmacotherapy for Amyotrophic Lateral Sclerosis: A Review of Approved and Upcoming Agents.Drugs · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
19 authors at 7 institutions in 1 country.
Funding
Abstract
introductionMotor neuron disease (MND) is a rapidly fatal neurodegenerative disease. Despite decades of research and clinical trials there remains no cure and only one globally approved drug, riluzole, which prolongs survival by 2-3 months. Recent improved mechanistic understanding of MND heralds a new translational era with many potential targets being identified that are ripe for clinical trials. Motor Neuron Disease Systematic Multi-Arm Adaptive Randomised Trial (MND-SMART) aims to evaluate the efficacy of drugs efficiently and definitively in a multi-arm, multi-stage, adaptive trial. The first two drugs selected for evaluation in MND-SMART are trazodone and memantine. METHODS AND ANALYSIS: Initially, up to 531 participants (177/arm) will be randomised 1:1:1 to oral liquid trazodone, memantine and placebo. The coprimary outcome measures are the Amyotrophic Lateral Sclerosis Functional Rating Scale Revised (ALSFRS-R) and survival. Comparisons will be conducted in four stages. The decision to continue randomising to arms after each stage will be made by the Trial Steering Committee who receive recommendations from the Independent Data Monitoring Committee. The primary analysis of ALSFRS-R will be conducted when 150 participants/arm, excluding long survivors, have completed 18 months of treatment; if positive the survival effect will be inferentially analysed when 113 deaths have been observed in the placebo group. The trial design ensures that other promising drugs can be added for evaluation in planned trial adaptations. Using this novel trial design reduces time, cost and number of participants required to definitively (phase III) evaluate drugs and reduces exposure of participants to potentially ineffective treatments. ETHICS AND DISSEMINATION: MND-SMART was approved by the West of Scotland Research Ethics Committee on 2 October 2019. (REC reference: 19/WS/0123) Results of the study will be submitted for publication in a peer-reviewed journal and a summary provided to participants. TRIAL REGISTRATION NUMBERS: European Clinical Trials Registry (2019-000099-41); NCT04302870.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.