Surrogate endpoints for EDSS worsening in multiple sclerosis. A meta-analytic approach.
Abstract
OBJECTIVE
To evaluate whether the effects on potential surrogate endpoints, such as MRI markers and relapses, observed in trials of
experimental treatments are able to predict the effects of these treatments on disability progression as defined in relapsing-remitting
multiple sclerosis (RRMS) trials.
METHODS
We used a pooled analysis of all the published randomized controlled clinical trials in RRMS reporting data on Expanded Disability
Status Scale (EDSS) worsening and relapses or MRI lesions or both. We extracted data on relapses, MRI lesions, and the proportion
of progressing patients. A regression analysis weighted on trial size and duration was performed to study the relationship
between the treatment effect observed in each trial on relapses and MRI lesions and the observed treatment effect on EDSS
worsening.
RESULTS
A set of 19 randomized double-blind controlled trials in RRMS were identified, for a total of 44 arms, 25 contrasts, and 10,009
patients. A significant correlation was found between the effect of treatments on relapses and the effect of treatments on
EDSS worsening: the adjusted R(2) value of the weighted regression was 0.71. The correlation between the treatment effect
on MRI lesions and EDSS worsening was slightly weaker (R(2) = 0.57) but significant.
CONCLUSIONS
These findings support the use of commonly used surrogate markers of EDSS worsening as endpoints in multiple sclerosis clinical
trials. Further research is warranted to validate surrogate endpoints at the individual level rather than at the trial level,
to draw important conclusions in the management of the individual patient.
Links
Authors
Sormani MP, Bonzano L, Roccatagliata L, Mancardi GL, Uccelli A, Bruzzi P
Institution
Department of Health Sciences, Via Pastore 1, Genoa, Italy. mariapia.sormani@unige.it
Source
Neurology 75:4 2010 Jul 27 pg 302-9MeSH
Disability EvaluationHumans
Magnetic Resonance Imaging
Multiple Sclerosis, Relapsing-Remitting
Predictive Value of Tests
Sensitivity and Specificity
Pub Type(s)
Journal ArticleMeta-Analysis
Language
eng
PubMed ID
20574036
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