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将基于证据的获益与风险评估整合到多发性硬化症疾病修饰治疗中。

Integrating an evidence-based assessment of benefit and risk in disease-modifying treatment of multiple sclerosis.

作者信息

Goodin Douglas S, Biermann Louis D, Bohlega Saeed, Boiko Alexey, Chofflon Michel, Gebeily Souheil, Gouider Riadh, Havrdova Eva, Jakab Gabor, Karabudak Rana, Karussis Dimitrios, Miller Ariel, Pakdaman Hossein, Selmaj Krzysztof, Sharief Mohammad

机构信息

Department of Neurology, University of California, San Francisco, CA 94121, USA. email:

出版信息

Curr Med Res Opin. 2007 Nov;23(11):2823-32. doi: 10.1185/03007x233007.

Abstract

BACKGROUND

As results from an increasing number of clinical trials with disease-modifying drugs (DMDs) in multiple sclerosis (MS) become available, the challenge for the treating neurologist is how to decide on the appropriate therapy for an individual patient.

OBJECTIVE

An International Working Group for Treatment Optimization in MS met to consider how the principles of evidence-based medicine (EBM) should be used to assess the current best evidence regarding the treatment of MS. This report summarizes the outcome from the workshop at which this topic was addressed.

RESULTS

Class I evidence from head-to-head studies provides the best tool for direct comparisons of DMDs. However, other EBM approaches to data analysis from placebo-controlled trials can be used to help determine the benefits and risks of a particular DMD relative to placebo by calculating the number needed to treat to achieve a positive outcome, such as avoiding a relapse, and the number needed to harm to produce an additional adverse event, such as having a therapy-related dropout. This provides a structured basis for comparisons between DMDs.

CONCLUSION

While such comparisons have their limitations, particularly when drugs with substantially different side-effect profiles are to be compared, they can provide useful information to guide treatment decisions.

摘要

背景

随着越来越多针对多发性硬化症(MS)的疾病修正药物(DMDs)临床试验结果的公布,神经科医生面临的挑战是如何为个体患者选择合适的治疗方法。

目的

一个MS治疗优化国际工作组召开会议,探讨如何运用循证医学(EBM)原则来评估当前关于MS治疗的最佳证据。本报告总结了讨论该主题的研讨会成果。

结果

头对头研究的I类证据为DMDs的直接比较提供了最佳工具。然而,安慰剂对照试验的其他EBM数据分析方法可用于通过计算实现积极结果(如避免复发)所需治疗的人数以及产生额外不良事件(如因治疗相关而退出试验)所需伤害的人数,来帮助确定特定DMD相对于安慰剂的益处和风险。这为DMDs之间的比较提供了结构化基础。

结论

虽然此类比较存在局限性,尤其是在比较副作用差异较大的药物时,但它们可为指导治疗决策提供有用信息。

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