Literature DB >> 21684153

Early stopping rules in oncology: considerations for clinicians.

Som D Mukherjee1, John R Goffin, Valerie Taylor, Kelly K Anderson, Gregory R Pond.   

Abstract

The number of cancer-related clinical trials has been rapidly increasing over the past decade. Along with this increase, oncology studies stopped early for benefit or harm have also been more common. Clinicians treating cancer patients often are faced with the challenge of having to decide whether or not to incorporate information from these new studies into their daily clinical practice. This review article explains the role of the Data and Safety Monitoring Committee in stopping trials early; provides examples of oncology trials stopped early; and reviews some of the controversies and statistical concepts associated with early stopping rules. In addition, a simple and practical approach to interpreting the findings of trials that are stopped early is provided to assist clinicians in deciding how to incorporate information from these studies into their daily practice.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21684153     DOI: 10.1016/j.ejca.2011.05.019

Source DB:  PubMed          Journal:  Eur J Cancer        ISSN: 0959-8049            Impact factor:   9.162


  3 in total

1.  More trials are cut short, but not the debate over their trajectory.

Authors:  Madhumita Venkataramanan
Journal:  Nat Med       Date:  2012-01-06       Impact factor: 53.440

2.  The design and statistical aspects of VIETNARMS: a strategic post-licensing trial of multiple oral direct-acting antiviral hepatitis C treatment strategies in Vietnam.

Authors:  Leanne McCabe; Ian R White; Nguyen Van Vinh Chau; Eleanor Barnes; Sarah L Pett; Graham S Cooke; A Sarah Walker
Journal:  Trials       Date:  2020-05-18       Impact factor: 2.279

3.  Advantages of Bayesian monitoring methods in deciding whether and when to stop a clinical trial: an example of a neonatal cooling trial.

Authors:  Claudia Pedroza; Jon E Tyson; Abhik Das; Abbot Laptook; Edward F Bell; Seetha Shankaran
Journal:  Trials       Date:  2016-07-22       Impact factor: 2.279

  3 in total

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