Literature DB >> 10727480

Disability outcome measures in therapeutic trials of relapsing-remitting multiple sclerosis: effects of heterogeneity of disease course in placebo cohorts.

C Liu1, L D Blumhardt.   

Abstract

OBJECTIVES: Recent phase III clinical trials of immunomodulatory therapies in relapsing-remitting multiple sclerosis have shown significant benefits of active treatment on relapse related end points, but effects on disability outcomes have been inconsistent. These apparent discrepancies could be due to differences in the clinical end points employed, the behaviour of placebo cohorts, or both.
METHODS: Disability data from the placebo cohorts of two large phase III studies, the United States glatiramer acetate trial (Copolymer 1 Multiple Sclerosis Study Group) and the multinational interferon beta-1a trial (PRISMS Study Group) were combined and masked (n = 313). Two groups of disability outcome measures were assessed. Firstly, measures of disability change (2 year EDSS difference and area under the EDSS/time curve, AUC) were calculated. Secondly, conventional disease progression end points ("confirmed progression" and "worsening to EDSS 6.0") were evaluated by using Kaplan-Meier analysis and compared with a categorical classification based on EDSS trends.
RESULTS: The average increase in disability for the entire cohort as assessed by mean 2 year EDSS change (<0.5 EDSS point) or mean AUC (+0.57 EDSS-years) was small. For the "confirmed progression" end points, increasing the stringency of the definition lowered their incidence (from 32% with 1.0 point at 3 months, to 9% with 2.0 points at 6 months), but did not improve the positive predictive accuracy for "sustained progression" maintained to the end of the study. The error rate for this outcome was about 50%. Worsening to EDSS 6.0 was a more reliable end point, but had even lower sensitivity (incidence <10%). EDSS trend analysis showed markedly heterogeneous disease courses, which were then categorised into "stable" (26%), "relapsing-remitting" (59%), and "progressive" (15%) courses. Patients with the last course had deteriorated considerably by the end of 2 years (mean worsening of 2.0 EDSS points).
CONCLUSION: In relapsing-remitting multiple sclerosis treatment trials, the conventional measure of mean EDSS change has low sensitivity, whereas the widely applied confirmed progression end points have high error rates regardless of their definition stringency. Alternative methods with better data utilisation include AUC summary measures and categorical disease trend analysis. The heterogeneity of disability outcomes in short trials, combined with unreliable clinical end points, diminishes the credibility of therapeutic claims aimed at reducing irreversible neurological deficits. The behaviour of patients treated with placebo should be carefully analysed before conclusions are drawn on the efficacy of putative treatments.

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Year:  2000        PMID: 10727480      PMCID: PMC1736854          DOI: 10.1136/jnnp.68.4.450

Source DB:  PubMed          Journal:  J Neurol Neurosurg Psychiatry        ISSN: 0022-3050            Impact factor:   10.154


  33 in total

1.  Impact of interferon beta-1a on neurologic disability in relapsing multiple sclerosis. The Multiple Sclerosis Collaborative Research Group (MSCRG).

Authors:  R A Rudick; D E Goodkin; L D Jacobs; D L Cookfair; R M Herndon; J R Richert; A M Salazar; J S Fischer; C V Granger; J H Simon; J J Alam; N A Simonian; M K Campion; D M Bartoszak; D N Bourdette; J Braiman; C M Brownscheidle; M E Coats; S L Cohan; D S Dougherty; R P Kinkel; M K Mass; F E Munschauer; R L Priore; R H Whitham
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2.  Interferon beta therapy for multiple sclerosis.

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Journal:  Lancet       Date:  1998-11-07       Impact factor: 79.321

Review 3.  Clinical outcome measures and rating scales in multiple sclerosis trials.

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Journal:  Mayo Clin Proc       Date:  1997-11       Impact factor: 7.616

4.  Outcomes assessment in multiple sclerosis clinical trials: a critical analysis.

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Journal:  Mult Scler       Date:  1995-04       Impact factor: 6.312

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Journal:  Lancet       Date:  1997-03-01       Impact factor: 79.321

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Journal:  Brain       Date:  1998-01       Impact factor: 13.501

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Review 9.  "Summary measure" statistic for assessing the outcome of treatment trials in relapsing-remitting multiple sclerosis.

Authors:  C Liu; A Li Wan Po; L D Blumhardt
Journal:  J Neurol Neurosurg Psychiatry       Date:  1998-06       Impact factor: 10.154

Review 10.  Clinical outcomes assessment in multiple sclerosis.

Authors:  R Rudick; J Antel; C Confavreux; G Cutter; G Ellison; J Fischer; F Lublin; A Miller; J Petkau; S Rao; S Reingold; K Syndulko; A Thompson; J Wallenberg; B Weinshenker; E Willoughby
Journal:  Ann Neurol       Date:  1996-09       Impact factor: 10.422

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  20 in total

Review 1.  Interferon in relapsing-remitting multiple sclerosis.

Authors:  G P Rice; B Incorvaia; L Munari; G Ebers; C Polman; R D'Amico; G Filippini
Journal:  Cochrane Database Syst Rev       Date:  2001

2.  Disease mechanisms in MS: phases of disease improvement unrelated to relapses.

Authors:  Oluf Andersen
Journal:  Nat Rev Neurol       Date:  2012-09-11       Impact factor: 42.937

Review 3.  Glatiramer acetate: a review of its use in relapsing-remitting multiple sclerosis.

Authors:  Dene Simpson; Stuart Noble; Caroline Perry
Journal:  CNS Drugs       Date:  2002       Impact factor: 5.749

4.  Comparison of the EDSS, Timed 25-Foot Walk, and the 9-Hole Peg Test as Clinical Trial Outcomes in Relapsing-Remitting Multiple Sclerosis.

Authors:  Marcus W Koch; Jop P Mostert; Jerry S Wolinsky; Fred D Lublin; Bernard Uitdehaag; Gary R Cutter
Journal:  Neurology       Date:  2021-08-25       Impact factor: 11.800

5.  Reproducibility over a 1-month period of 1H-MR spectroscopic imaging NAA/Cr ratios in clinically stable multiple sclerosis patients.

Authors:  J P Mostert; Y Blaauw; M W Koch; A J Kuiper; J M Hoogduin; J De Keyser
Journal:  Eur Radiol       Date:  2008-04-04       Impact factor: 5.315

6.  Spinal cord atrophy and disability in multiple sclerosis over four years: application of a reproducible automated technique in monitoring disease progression in a cohort of the interferon beta-1a (Rebif) treatment trial.

Authors:  X Lin; C R Tench; B Turner; L D Blumhardt; C S Constantinescu
Journal:  J Neurol Neurosurg Psychiatry       Date:  2003-08       Impact factor: 10.154

7.  Long-Term Cost Effectiveness of Interferon-beta-1a in the Treatment of Relapsing-Remitting Multiple Sclerosis : An Econometric Model.

Authors:  Claude Lepen; Patricia Coyle; Timothy Vollmer; Lance Blumhardt; Hervé Lilliu; Ariel Beresniak
Journal:  Clin Drug Investig       Date:  2003       Impact factor: 2.859

Review 8.  Predicting responders to therapies for multiple sclerosis.

Authors:  Jordi Río; Manuel Comabella; Xavier Montalban
Journal:  Nat Rev Neurol       Date:  2009-10       Impact factor: 42.937

9.  Time to secondary progression in patients with multiple sclerosis who were treated with first generation immunomodulating drugs.

Authors:  H Tedeholm; J Lycke; B Skoog; V Lisovskaja; J Hillert; C Dahle; J Fagius; S Fredrikson; A-M Landtblom; C Malmeström; C Martin; F Piehl; B Runmarker; L Stawiarz; M Vrethem; O Nerman; O Andersen
Journal:  Mult Scler       Date:  2012-11-01       Impact factor: 6.312

10.  Outcome of beta-interferon treatment in relapsing-remitting multiple sclerosis: a Bayesian analysis.

Authors:  Killian O'Rourke; Cathal Walsh; Michael Hutchinson
Journal:  J Neurol       Date:  2007-08-14       Impact factor: 6.682

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