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1.
Neurology ; 71(9): 624-31, 2008 Aug 26.
Article in English | MEDLINE | ID: mdl-18480462

ABSTRACT

BACKGROUND: Inferences about long-term effects of therapies in multiple sclerosis (MS) have been based on surrogate markers studied in short-term trials. Preventing progressive disability is the key therapeutic goal but there remains no validated definition for its measurement in a trial context. Meanwhile, MS trials continue to shorten and to depend on unvalidated surrogates. Since there have been no treatment claims for improving unremitting disability, worsening of disability in the placebo/control arm must occur for effectiveness on this outcome to be shown. METHODS: We examined widely-used clinical surrogates of long-term disability progression in individual patients with MS within a unique database from the placebo arms of 31 randomized clinical trials. RESULTS: Detection of treatment effects in secondary progressive MS trials is undermined by noise in disability measurement. Whereas existing measures can be partially validated in secondary progressive MS, this is not the case in relapsing-remitting MS. Here, examination of widely used definitions of treatment failure demonstrated that disability progression was no more likely than similarly defined improvement. Existing definitions of disease progression in short-term intervention trials in relapsing-remitting patients reflect random variation, measurement error, and remitting relapses. CONCLUSION: Clinical surrogates of unremitting disability used in trials of relapsing-remitting multiple sclerosis cannot be validated. Trials have been too short or degrees of disability change too small to measure the key outcomes. These analyses highlight the difficulty in determining effectiveness of therapy in chronic diseases.


Subject(s)
Biomarkers/analysis , Disability Evaluation , Endpoint Determination/methods , Multiple Sclerosis/drug therapy , Outcome and Process Assessment, Health Care/methods , Randomized Controlled Trials as Topic/statistics & numerical data , Adolescent , Adult , Child , Child, Preschool , Databases, Factual/statistics & numerical data , Disease Progression , Humans , Middle Aged , Multiple Sclerosis, Relapsing-Remitting/drug therapy
2.
Neurology ; 65(11): 1769-73, 2005 Dec 13.
Article in English | MEDLINE | ID: mdl-16344520

ABSTRACT

BACKGROUND: The annual relapse rate has been commonly used as a primary efficacy endpoint in phase III multiple sclerosis (MS) clinical trials. The aim of this study was to determine the relative contribution of different possible prognostic factors available at baseline to the on-study relapse rate in MS. METHODS: A total of 821 patients from the placebo arms of the Sylvia Lawry Centre for Multiple Sclerosis Research (SLCMSR) database were available for this analysis. The univariate relationships between on-study relapse rate and the baseline demographic, clinical, and MRI-based predictors were assessed. The multiple relationships were then examined using a Poisson regression model. Two predictor subsets were selected. Subset 1 included age at disease onset, disease duration, sex, Expanded Disability Status Scale (EDSS) at baseline, number of relapses in the last 24 months prior to baseline, and the disease course (relapsing remitting [RR] and secondary progressive [SP]). Subset 2 consisted of Subset 1 plus gadolinium enhancement status in MRI. The number of patients for developing the models with no missing values was 727 for Subset 1 and 306 for Subset 2. RESULTS: The univariate relationships show that the on-study relapse rate was higher for younger and for female patients, for RR patients than for SP patients, and for patients with positive enhancement status at entry (Wilcoxon test, p < 0.05). A higher on-study relapse rate was associated with a shorter disease duration, lower entry EDSS, more pre-study relapses, and more enhancing lesions in T1 at entry. The fitted Poisson model shows that disease duration (estimate = -0.02) and previous relapse number (estimate = 0.59 for one, 0.91 for two, and 1.45 for three or more relapses vs no relapses) remain. The authors were able to confirm these findings in a second, independent dataset. CONCLUSIONS: The relapse number prior to entry into clinical trials together with disease duration are the best predictors for the on-study relapse rate. Disease course did not contribute independently because its effect is covered by the pre-study relapse rate. Gadolinium enhancement status, given the other covariates, has no significant influence on the on-study relapse rate.


Subject(s)
Multiple Sclerosis/epidemiology , Age Factors , Age of Onset , Causality , Central Nervous System/pathology , Central Nervous System/physiopathology , Clinical Trials as Topic/statistics & numerical data , Disability Evaluation , Female , Humans , Magnetic Resonance Imaging , Male , Models, Statistical , Multiple Sclerosis/drug therapy , Multiple Sclerosis/prevention & control , Multiple Sclerosis, Chronic Progressive/drug therapy , Multiple Sclerosis, Chronic Progressive/epidemiology , Multiple Sclerosis, Chronic Progressive/prevention & control , Multiple Sclerosis, Relapsing-Remitting/drug therapy , Multiple Sclerosis, Relapsing-Remitting/epidemiology , Multiple Sclerosis, Relapsing-Remitting/prevention & control , Predictive Value of Tests , Prognosis , Regression Analysis , Secondary Prevention , Sex Factors
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