Placebo cohorts in phase-3 MS treatment trials - predictors for on-trial disease activity 1990-2010 based on a meta-analysis and individual case data.

BACKGROUND: Annualized relapse rates (ARR) in the placebo cohorts of phase-3 randomized controlled trials (RCT) of new treatments for relapsing remitting multiple sclerosis (RRMS) have decreased substantially during the last two decades. The causes of these changes are not clear. We consider a bette...

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Main Authors: Jan-Patrick Stellmann, Anneke Neuhaus, Lena Herich, Sven Schippling, Matthias Roeckel, Martin Daumer, Roland Martin, Christoph Heesen
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2012-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3510222?pdf=render
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spelling doaj-09629023a42d46359234e7032bbdd0d62020-11-25T00:10:59ZengPublic Library of Science (PLoS)PLoS ONE1932-62032012-01-01711e5034710.1371/journal.pone.0050347Placebo cohorts in phase-3 MS treatment trials - predictors for on-trial disease activity 1990-2010 based on a meta-analysis and individual case data.Jan-Patrick StellmannAnneke NeuhausLena HerichSven SchipplingMatthias RoeckelMartin DaumerRoland MartinChristoph HeesenBACKGROUND: Annualized relapse rates (ARR) in the placebo cohorts of phase-3 randomized controlled trials (RCT) of new treatments for relapsing remitting multiple sclerosis (RRMS) have decreased substantially during the last two decades. The causes of these changes are not clear. We consider a better understanding of this phenomenon essential for valuing the effects of new drugs and by designing new trials. OBJECTIVES: To identify predictive factors of on-study ARR in early and recent MS trials. METHODS: ARR, rate of relapse-free patients, trial start dates, baseline demographics, relapse definitions and the use of McDonald criteria were retrieved by literature research of the placebo cohorts from RRMS phase-3 trials. Predictors were estimated by univariate and multivariate regression analyses and random-effects meta-regression. In addition, regression models were calculated by the Sylvia Lawry Centre's (SLC), including individual case data from clinical trials performed until 2000. The most reliable meta-analytic results can be gained from pooled individual case data. In lack of this, random-effects meta-analyses are recommended. RESULTS: Data from 12 published and one unpublished trial show a decrease of ARR from 1988 to 2012 (adjR(2) = 0.807, p<0.0001). Regression models identified McDonald criteria followed by baseline mean age and the pre-study relapse rate as predictors of the ARR. The pooled individual case data (n = 505) confirmed a decrease of ARR over time. The pre-study relapse rate was the best predictor for on-study relapses. Lacking individual case data after implementation of the McDonald criteria excludes a direct comparison concerning McDonald criteria. CONCLUSION: Pre-study relapse rate was the best predictor for on-study relapse rate but failed to explain the decrease of the ARR over time alone. Higher age at baseline and the implementation of McDonald criteria were associated as well with a lowered relapse rate in the random-effects meta-regression. These findings need further clarification based on individual case data.http://europepmc.org/articles/PMC3510222?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Jan-Patrick Stellmann
Anneke Neuhaus
Lena Herich
Sven Schippling
Matthias Roeckel
Martin Daumer
Roland Martin
Christoph Heesen
spellingShingle Jan-Patrick Stellmann
Anneke Neuhaus
Lena Herich
Sven Schippling
Matthias Roeckel
Martin Daumer
Roland Martin
Christoph Heesen
Placebo cohorts in phase-3 MS treatment trials - predictors for on-trial disease activity 1990-2010 based on a meta-analysis and individual case data.
PLoS ONE
author_facet Jan-Patrick Stellmann
Anneke Neuhaus
Lena Herich
Sven Schippling
Matthias Roeckel
Martin Daumer
Roland Martin
Christoph Heesen
author_sort Jan-Patrick Stellmann
title Placebo cohorts in phase-3 MS treatment trials - predictors for on-trial disease activity 1990-2010 based on a meta-analysis and individual case data.
title_short Placebo cohorts in phase-3 MS treatment trials - predictors for on-trial disease activity 1990-2010 based on a meta-analysis and individual case data.
title_full Placebo cohorts in phase-3 MS treatment trials - predictors for on-trial disease activity 1990-2010 based on a meta-analysis and individual case data.
title_fullStr Placebo cohorts in phase-3 MS treatment trials - predictors for on-trial disease activity 1990-2010 based on a meta-analysis and individual case data.
title_full_unstemmed Placebo cohorts in phase-3 MS treatment trials - predictors for on-trial disease activity 1990-2010 based on a meta-analysis and individual case data.
title_sort placebo cohorts in phase-3 ms treatment trials - predictors for on-trial disease activity 1990-2010 based on a meta-analysis and individual case data.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2012-01-01
description BACKGROUND: Annualized relapse rates (ARR) in the placebo cohorts of phase-3 randomized controlled trials (RCT) of new treatments for relapsing remitting multiple sclerosis (RRMS) have decreased substantially during the last two decades. The causes of these changes are not clear. We consider a better understanding of this phenomenon essential for valuing the effects of new drugs and by designing new trials. OBJECTIVES: To identify predictive factors of on-study ARR in early and recent MS trials. METHODS: ARR, rate of relapse-free patients, trial start dates, baseline demographics, relapse definitions and the use of McDonald criteria were retrieved by literature research of the placebo cohorts from RRMS phase-3 trials. Predictors were estimated by univariate and multivariate regression analyses and random-effects meta-regression. In addition, regression models were calculated by the Sylvia Lawry Centre's (SLC), including individual case data from clinical trials performed until 2000. The most reliable meta-analytic results can be gained from pooled individual case data. In lack of this, random-effects meta-analyses are recommended. RESULTS: Data from 12 published and one unpublished trial show a decrease of ARR from 1988 to 2012 (adjR(2) = 0.807, p<0.0001). Regression models identified McDonald criteria followed by baseline mean age and the pre-study relapse rate as predictors of the ARR. The pooled individual case data (n = 505) confirmed a decrease of ARR over time. The pre-study relapse rate was the best predictor for on-study relapses. Lacking individual case data after implementation of the McDonald criteria excludes a direct comparison concerning McDonald criteria. CONCLUSION: Pre-study relapse rate was the best predictor for on-study relapse rate but failed to explain the decrease of the ARR over time alone. Higher age at baseline and the implementation of McDonald criteria were associated as well with a lowered relapse rate in the random-effects meta-regression. These findings need further clarification based on individual case data.
url http://europepmc.org/articles/PMC3510222?pdf=render
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