Improving the efficiency of clinical trials in multiple sclerosis

Author:

Marrie Ruth Ann1ORCID,Sormani Maria Pia2ORCID,Apap Mangion Sean3,Bovis Francesca4,Cheung Winson Y5,Cutter Gary R6ORCID,Feys Peter7,Hill Michael D8,Koch Marcus Werner9ORCID,McCreary Morgan10ORCID,Mowry Ellen M11,Park Jay JH12,Piehl Fredrik13ORCID,Salter Amber10ORCID,Chataway Jeremy14

Affiliation:

1. Departments of Internal Medicine and Community Health Sciences, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada

2. Department of Health Sciences, University of Genoa, Genoa, Italy/IRCCS Ospedale Policlinico San Martino, Genoa, Italy

3. Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK

4. Department of Health Sciences, University of Genoa, Genoa, Italy

5. Department of Oncology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada

6. Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL, USA

7. REVAL Rehabilitation Research Center, REVAL, Faculty of Rehabilitation Sciences, Hasselt University, Hasselt, Belgium/Universitair MS Centrum, UMSC, Hasselt, Belgium

8. Departments of Clinical Neurosciences, Community Health Sciences, Medicine, and Radiology, Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada

9. Departments of Clinical Neurosciences, Community Health Sciences, Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada

10. Department of Neurology, Section on Statistical Planning and Analysis, UT Southwestern Medical Center, Dallas, TX, USA

11. Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA

12. Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON, Canada

13. Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden

14. Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK/National Institute for Health Research, University College London Hospitals, Biomedical Research Centre, London, UK/Medical Research Council Clinical Trials Unit at UCL, Institute of Clinical Trials and Methodology, University College London, London, UK

Abstract

Background:Phase 3 clinical trials for disease-modifying therapies in relapsing-remitting multiple sclerosis (RRMS) have utilized a limited number of conventional designs with a high degree of success. However, these designs limit the types of questions that can be addressed, and the time and cost required. Moreover, trials involving people with progressive multiple sclerosis (MS) have been less successful.Objective:The objective of this paper is to discuss complex innovative trial designs, intermediate and composite outcomes and to improve the efficiency of trial design in MS and broaden questions that can be addressed, particularly as applied to progressive MS.Methods:We held an international workshop with experts in clinical trial design.Results:Recommendations include increasing the use of complex innovative designs, developing biomarkers to enrich progressive MS trial populations, prioritize intermediate outcomes for further development that target therapeutic mechanisms of action other than peripherally mediated inflammation, investigate acceptability to people with MS of data linkage for studying long-term outcomes of clinical trials, use Bayesian designs to potentially reduce sample sizes required for pediatric trials, and provide sustained funding for platform trials and registries that can support pragmatic trials.Conclusion:Novel trial designs and further development of intermediate outcomes may improve clinical trial efficiency in MS and address novel therapeutic questions.

Funder

National Multiple Sclerosis Society

European Committee for Treatment and Research in Multiple Sclerosis

Publisher

SAGE Publications

Subject

Neurology (clinical),Neurology

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3