What question did this study set out to answer?

To investigate how different statistical methods affect treatment effect estimates in ALS clinical trials.

April 24, 2026Neurology1 citationsOpen Access

Heterogeneity in the Analysis of the ALSFRS-R in ALS Clinical Trials and its Effect on the Validity and Precision of Trial Conclusions

DWDaphne N. WeemeringUniversity Medical Center Utrecht JUJordi W. J. van UnnikUniversity Medical Center Utrecht AGAngela GengeMontreal Neurological Institute and Hospital

Key Points

To investigate how different statistical methods affect treatment effect estimates in ALS clinical trials.
Analysis of statistical methods used in ALSFRS-R assessments in various clinical trials.
Comparison of treatment effects based on different statistical approaches.
Evaluation of the implications for clinical decision-making and drug development.
Significant variability in statistical methods leads to different treatment effect estimates.
Misleading conclusions from inconsistent analyses compromise trial comparability.
Recommendations for establishing statistical consensus could enhance trial interpretability.

Abstract

Our results demonstrate considerable variability in statistical methods, with the choice of method able to influence the estimated treatment effects, potentially resulting in misleading conclusions and uncertainty about treatment effects. This limits the interpretability and comparability of clinical trials and influences clinical decision-making and drug development. Establishing statistical consensus recommendations could improve the utility of disability scales in clinical trials and accelerate progress toward effective therapies for neurodegenerative diseases.

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