z-logo
open-access-imgOpen Access
Short-Term Relapse Quantitation as a Fully Surrogate Endpoint for Long-Term Sustained Progression of Disability in RRMS Patients Treated with Natalizumab
Author(s) -
Y. C. Wang,
Alfred Sandrock,
J Richert,
Laura J. Meyerson,
Xiaoping Miao
Publication year - 2011
Publication title -
neurology research international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.365
H-Index - 31
eISSN - 2090-1852
pISSN - 2090-1860
DOI - 10.1155/2011/195831
Subject(s) - natalizumab , medicine , surrogate endpoint , expanded disability status scale , multiple sclerosis , clinical trial , clinical endpoint , statistical significance , oncology , physical therapy , psychiatry
Time to sustained worsening in the expanded disability status scale as the standard for evaluating the accumulation of disability has been used as a measure of clinical efficacy in many relapsing-remitting multiple sclerosis (RRMS) clinical trials. However, this measurement usually requires a large sample and long-term study to demonstrate the treatment effect. Annualized relapse rate or time to first relapse is also widely used as alternative measurements of clinical efficacy. A formal statistical validation of short-term relapse activity as a surrogate endpoint for long-term sustained progression of disability could potentially permit smaller, shorter, and less expensive clinical trials in RRMS. Four statistical validation/evaluation approaches consistently showed that relapse activity through one year of treatment serves as statistically valid surrogate endpoint for time to sustained progression of disability. The analysis demonstrates that long-term sustained progression of disability can be predicted by short-term relapse measures with 4 consistent validations of statistical approaches, including a formal statistical hypothesis test. This was demonstrated in a large phase III trial of natalizumab and showed that the beneficial clinical effect of natalizumab on sustained progression of disability at 2 years in patients with RRMS can be predicted by the total number of relapses at 1 year.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom