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A Protocol for the Use of Remotely-Supervised Transcranial Direct Current Stimulation tDCS in Multiple Sclerosis MS
Published on: December 26, 2015
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Therapeutic lag: Is treatment effect delayed in progressive MS?
Noemi Montobbio1, Francesca Bovis1, Alessio Signori1
1Department of Health Sciences (DISSAL), University of Genova, Genova, Italy.
Summary
Delayed treatment effects in progressive multiple sclerosis (MS) trials were uncovered by re-analyzing data. This finding suggests that treatments for MS may show benefits later than typically detected.
Area of Science:
- Neurology
- Clinical Trials
- Biostatistics
Background:
- Randomized clinical trials (RCTs) for progressive multiple sclerosis (MS) often fail to show significant treatment effects on disability progression.
- This lack of significance may stem from a delayed onset of treatment efficacy.
- Baseline characteristics might influence this delay.
Purpose of the Study:
- To investigate if a delayed treatment effect explains the non-significant findings in progressive MS RCTs.
- To analyze the impact of baseline characteristics on the timing of treatment benefits.
Main Methods:
- Re-analysis of data from two RCTs (SPECTRIMS and PROMISE) involving interferon-beta and glatiramer-acetate in progressive MS.
- Application of a time-dependent Cox model allowing for a delayed treatment effect (t0).
- Modeling the treatment delay as a function of baseline Expanded Disability Status Scale (EDSS) scores.
Main Results:
- A time-dependent Cox model revealed significant treatment benefits in both studies when a delay was incorporated (SPECTRIMS: t0=2.5 years, HR=0.65; PROMISE: t0=2 years, HR=0.65).
- In the merged dataset, an EDSS-dependent delayed effect showed a significant benefit (HR=0.68, p<0.001).
- The assumption of a delayed treatment effect improved model fit, indicating a significant, albeit shifted, treatment benefit.
Conclusions:
- Incorporating a delayed treatment effect assumption significantly improved the analysis of progressive MS RCT data.
- This approach uncovered significant treatment benefits that were not apparent with standard analysis, suggesting a need to consider delayed efficacy in trial design and interpretation.
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