Data monitoring committees: Promoting best practices to address emerging challenges

Author:

Fleming Thomas R1,DeMets David L2,Roe Matthew T3,Wittes Janet4,Calis Karim A56,Vora Amit N3,Meisel Alan7,Bain Raymond P8,Konstam Marvin A9,Pencina Michael J3,Gordon David J10,Mahaffey Kenneth W11,Hennekens Charles H12,Neaton James D13,Pearson Gail D10,Andersson Tomas LG14,Pfeffer Marc A15,Ellenberg Susan S16

Affiliation:

1. Department of Biostatistics, University of Washington, Seattle, WA, USA

2. University of Wisconsin–Madison, Madison, WI, USA

3. Duke Clinical Research Institute (DCRI), Duke University Medical Center, Durham, NC, USA

4. Statistics Collaborative, Inc., Washington, DC, USA

5. Center for Drug Evaluation and Research (CDER), FDA, Silver Spring, MD, USA

6. National Institute of Child Health and Human Development (NICHD), NIH, Bethesda, MD, USA

7. University of Pittsburgh, Pittsburgh, PA, USA

8. Merck Research Laboratories, North Wales, PA, USA

9. Tufts Medical Center, Boston, MA, USA

10. National Heart, Lung and Blood Institute (NHLBI), NIH, Bethesda, MD, USA

11. Stanford University School of Medicine, Stanford University, Stanford, CA, USA

12. Florida Atlantic University, Boca Raton, FL, USA

13. University of Minnesota, Minneapolis, MN, USA

14. AstraZeneca, Mölndal, Sweden

15. Brigham and Women’s Hospital, Boston, MA, USA

16. University of Pennsylvania, Philadelphia, PA, USA

Abstract

Background and Purpose: Data monitoring committees are responsible for safeguarding the interests of study participants and assuring the integrity and credibility of clinical trials. The independence of data monitoring committees from sponsors and investigators is essential in achieving this mission. Creative approaches are needed to address ongoing and emerging challenges that potentially threaten data monitoring committees’ independence and effectiveness. Methods: An expert panel of representatives from academia, industry and government sponsors, and regulatory agencies discussed these challenges and proposed best practices and operating principles for effective functioning of contemporary data monitoring committees. Results and Conclusions: Prospective data monitoring committee members need better training. Options could include didactic instruction as well as apprenticeships to provide real-world experience. Data monitoring committee members should be protected against legal liability arising from their service. While avoiding breaches in confidentiality of interim data remains a high priority, data monitoring committees should have access to unblinded efficacy and safety data throughout the trial to enable informed judgments about risks and benefits. Because overly rigid procedures can compromise their independence, data monitoring committees should have the flexibility necessary to best fulfill their responsibilities. Data monitoring committee charters should articulate principles that guide the data monitoring committee process rather than list a rigid set of requirements. Data monitoring committees should develop their recommendations by consensus rather than through voting processes. The format for the meetings of the data monitoring committee should maintain the committee’s independence and clearly establish the leadership of the data monitoring committee chair. The independent statistical group at the Statistical Data Analysis Center should have sufficient depth of knowledge about the study at hand and experience with trials in general to ensure that the data monitoring committee has access to timely, reliable, and readily interpretable insights about emerging evidence in the clinical trial. Contracts engaging data monitoring committee members for industry-sponsored trials should have language customized to the unique responsibilities of data monitoring committee members rather than use language appropriate to consultants for product development. Regulatory scientists would benefit from experiencing data monitoring committee service that does not conflict with their regulatory responsibilities.

Publisher

SAGE Publications

Subject

Pharmacology,General Medicine

Cited by 61 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. The Case for Access to Data Monitoring Committee Charters;NEJM Evidence;2024-08-27

2. Data Safety Monitoring Boards: Overview of Structure and Role in Spinal Cord Injury Studies;Topics in Spinal Cord Injury Rehabilitation;2024-08-01

3. Training the Next Generation of Data Monitoring Committee Members;JACC: Heart Failure;2024-08

4. Ethical preparedness of data monitoring committees (DMCs) to oversee international clinical trials: a qualitative descriptive study;BMJ Global Health;2024-08

5. Interim Analysis Using Machine Learning;2024 International Conference on Electronics, Computing, Communication and Control Technology (ICECCC);2024-05-02

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