Dataset Information

Alternative statistical methods for estimating efficacy of interferon beta-1b for multiple sclerosis clinical trials.

ABSTRACT:

Background

In the randomized study of interferon beta-1b (IFN beta-1b) for multiple sclerosis (MS), it has usually been evaluated the simple annual relapse rate as the study endpoint. This study aimed to investigate the performance of various regression models using information regarding the time to each recurrent event and considering the MS specific data generation process, and to estimate the treatment effect of a MS clinical trial data.

Methods

We conducted a simulation study with consideration of the pathological characteristics of MS, and applied alternative efficacy estimation methods to real clinical trial data, including 5 extended Cox regression models for time-to-event analysis, a Poisson regression model and a Poisson regression model with Generalized Estimating Equations (GEE). We adjusted for other important covariates that may have affected the outcome.

Results

We compared the simulation results for each model. The hazard ratios of real data were estimated for each model including the effects of other covariates. The results (hazard ratios of high-dose to low-dose) of all models were approximately 0.7 (range, 0.613 - 0.769), whereas the annual relapse rate ratio was 0.714.

Conclusions

The precision of the treatment estimation was increased by application of the alternative models. This suggests that the use of alternative models that include recurrence event data may provide better analyses.

SUBMITTER: Mieno MN

PROVIDER: S-EPMC3118202 | biostudies-literature | 2011 May

REPOSITORIES: biostudies-literature

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Publications

Alternative statistical methods for estimating efficacy of interferon beta-1b for multiple sclerosis clinical trials.

Mieno Makiko N MN Yamaguchi Takuhiro T Ohashi Yasuo Y

BMC medical research methodology 20110526

<h4>Background</h4>In the randomized study of interferon beta-1b (IFN beta-1b) for multiple sclerosis (MS), it has usually been evaluated the simple annual relapse rate as the study endpoint. This study aimed to investigate the performance of various regression models using information regarding the time to each recurrent event and considering the MS specific data generation process, and to estimate the treatment effect of a MS clinical trial data.<h4>Methods</h4>We conducted a simulation study ...[more]

PMID: 21612661

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Project description:Background: Multiple sclerosis (MS) is a demyelinating autoimmune disease of the central nervous system and the leading cause of lasting neurological disabilities in young adults. Increasing evidence suggests that early treatment prevents the development of disability. However, there have been no reliable serum markers to assist the early diagnosis. In addition, interferon (IFN)-β, which is the major treatment for MS, is not always effective. Therefore, the development of simple serological test to help the early diagnosis and predict responsiveness to IFN-β is of clinical importance. On the other hand, a transmembrane-type semaphorin, Sema4A, has been implicated in experimental autoimmune encephalomyelitis (EAE) by regulating helper T (Th) cell differentiation. Thus, we aimed to identify the implications of Sema4A in diagnosis and pathogenesis of MS. Methods: We assayed serum Sema4A in 59 patients with relapsing-remitting MS (RRMS), 22 patients with clinically isolated syndrome (CIS) and 126 patients with other neurological diseases (OND) by developing a sandwich ELISA. To identify a source of soluble Sema4A and characteristics of MS patients with high levels of Sema4A, we analyzed peripheral blood mononuclear cells (PBMCs) from MS patients and healthy controls by flow cytometry (FACS) and gene chip analysis. The effect of Sema4A was examined in vitro and in vivo using an EAE model. Findings: Sema4A was significantly increased in sera of patients with MS and CIS compared to controls. Sema4A expression was increased on the surface of DCs in MS patients and shed from these cells in a metalloproteinase-dependent manner, affecting the Th17skewing. In addition, patients with high Sema4A levels exhibited more severe disabilities, and IFN-β treatment was not beneficial to those patients. Interpretation: Measuring Sema4A is a practical laboratory test to help diagnose MS and to predict responsiveness to IFN-β therapy. Microarray analysis showed that metalloproteinases such as ADAM 10 and MMPs 1, 3, 9, 12 and 25, which are reported to be involved in the pathogenesis of MS, were increased in PBMCs from MS patients with high Sema4A levels compared to those with low Sema4A and healthy controls. However, ADAM 17 and MMP 2 and 7 did not correlate with Sema4A levels. Taken together, these findings strongly suggest that Sema4A, abundantly expressed on monocytes and DCs in MS patients, is enzymatically cleaved and shed in a portion of the patients, which contributes to the high soluble Sema4A detected by the ELISA. Multiple sclerosis patients were classified according to Serum Sema4A levels. RNA from peripheral blood from 4 healthy controls, 3 MS patients with high serum Sema4A levels and 3 MS patients with low serum Sema4A levels was extracted and hybridized on Affymetrix microarrays. We sought to see whether there is corrlated genes with serum Sema4A levels or not, especially for genes for varions proteases.

Dataset Information

Alternative statistical methods for estimating efficacy of interferon beta-1b for multiple sclerosis clinical trials.

Background

Methods

Results

Conclusions

Publications

Alternative statistical methods for estimating efficacy of interferon beta-1b for multiple sclerosis clinical trials.

Similar Datasets

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