4.4 Article

Comparative Effectiveness Research of Disease-Modifying Therapies for the Management of Multiple Sclerosis: Analysis of a Large Health Insurance Claims Database

期刊

NEUROLOGY AND THERAPY
卷 6, 期 1, 页码 91-102

出版社

SPRINGER LONDON LTD
DOI: 10.1007/s40120-017-0064-x

关键词

Comparative effectiveness; Dimethyl fumarate; Disease-modifying therapy; Fingolimod; Glatiramer acetate; Interferon beta; Multiple sclerosis; Teriflunomide

资金

  1. Biogen, Cambridge, MA, USA

向作者/读者索取更多资源

Limited data are available on the real-world effectiveness of newer oral disease-modifying therapies (DMTs) in multiple sclerosis. The purpose of this study was to retrospectively compare the real-world effectiveness of dimethyl fumarate (DMF), fingolimod, teriflunomide, and injectable DMTs in routine clinical practice based on US claims data. Patients newly-initiating DMF, interferon beta (IFN beta), glatiramer acetate (GA), teriflunomide, or fingolimod in 2013 were identified in the Truven MarketScan Commercial Claims Databases (N = 6372). Relapse episodes were identified based on a published claim-based algorithm and used to determine the annualized relapse rate (ARR) for the year before and after initiating therapy. Poisson and negative binomial regression was used to determine the adjusted incidence rate ratio (IRR) for each therapy relative to DMF. Significant ARR reductions in the year after initiating therapy were reported for DMF and fingolimod (P < 0.0001). Compared with DMF, the adjusted IRR (95% CI) for relapse in the year after initiating therapy was 1.27 (1.10-1.46) for IFN beta, 1.34 (1.17-1.53) for GA, 1.23 (1.05-1.45) for teriflunomide, and 1.03 (0.88-1.21) for fingolimod. Results were consistent across subgroup and sensitivity analyses. These real-world data suggest DMF and fingolimod have similar effectiveness and demonstrate superior effectiveness to IFN beta, GA, and teriflunomide. Funding: Biogen, Cambridge, MA, USA.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.4
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据