Literature DB >> 17170036

Futility approaches to interim monitoring by data monitoring committees.

David L Demets1.   

Abstract

Clinical trials involving participants with high risk of serious events or being exposed to a new intervention with potential serious risk are typically monitored during the course of the trial. Often, this monitoring activity is conducted by an independent group of experts, often referred to as a Data Monitoring Committee (DMC). The DMC responsibility includes monitoring for early evidence of a harmful effect or convincing evidence of a benefit. If the data are consistent and overwhelming, the DMC may recommend that a trial be terminated early. Trials may also be terminated early if the initial goal of demonstrating a benefit cannot in all likelihood be attained, or is futile. These are complicated issues and should be sorted out in the protocol and the DMC charter prior to the start of the trial before data begin to accumulate. Several statistical methods have been developed to assist a DMC in determining when a negative or harmful trend is substantial enough to render the trial continuation futile. These will be briefly summarized. However useful these methods might be, they alone are not adequate to make the decision and the DMC must take into account other issues to make a judgment.

Entities:  

Mesh:

Year:  2006        PMID: 17170036     DOI: 10.1177/1740774506073115

Source DB:  PubMed          Journal:  Clin Trials        ISSN: 1740-7745            Impact factor:   2.486


  14 in total

1.  Monitoring for lack of benefit: a critical component of a randomized clinical trial.

Authors:  Boris Freidlin; Edward L Korn
Journal:  J Clin Oncol       Date:  2008-12-08       Impact factor: 44.544

2.  How to interpret a randomized controlled study stopped early.

Authors:  G Leandro
Journal:  Intensive Care Med       Date:  2013-09       Impact factor: 17.440

3.  To stop or not to stop: a value of information view.

Authors:  Uwe Siebert; Lára R Hallsson
Journal:  Eur J Epidemiol       Date:  2018-08-17       Impact factor: 8.082

4.  Continuous covariate imbalance and conditional power for clinical trial interim analyses.

Authors:  Jody D Ciolino; Renee' H Martin; Wenle Zhao; Edward C Jauch; Michael D Hill; Yuko Y Palesch
Journal:  Contemp Clin Trials       Date:  2014-03-07       Impact factor: 2.226

5.  3-month versus 6-month adjuvant chemotherapy for patients with high-risk stage II and III colorectal cancer: 3-year follow-up of the SCOT non-inferiority RCT.

Authors:  Timothy Iveson; Kathleen A Boyd; Rachel S Kerr; Jose Robles-Zurita; Mark P Saunders; Andrew H Briggs; Jim Cassidy; Niels Henrik Hollander; Josep Tabernero; Andrew Haydon; Bengt Glimelius; Andrea Harkin; Karen Allan; John McQueen; Sarah Pearson; Ashita Waterston; Louise Medley; Charles Wilson; Richard Ellis; Sharadah Essapen; Amandeep S Dhadda; Mark Harrison; Stephen Falk; Sherif Raouf; Charlotte Rees; Rene K Olesen; David Propper; John Bridgewater; Ashraf Azzabi; David Farrugia; Andrew Webb; David Cunningham; Tamas Hickish; Andrew Weaver; Simon Gollins; Harpreet Wasan; James Paul
Journal:  Health Technol Assess       Date:  2019-12       Impact factor: 4.014

6.  Comparison of futility monitoring guidelines using completed phase III oncology trials.

Authors:  Qiang Zhang; Boris Freidlin; Edward L Korn; Susan Halabi; Sumithra Mandrekar; James J Dignam
Journal:  Clin Trials       Date:  2016-09-22       Impact factor: 2.486

7.  A comparison of two worlds: How does Bayes hold up to the status quo for the analysis of clinical trials?

Authors:  Alice R Pressman; Andrew L Avins; Alan Hubbard; William A Satariano
Journal:  Contemp Clin Trials       Date:  2011-03-29       Impact factor: 2.226

8.  The utility of Bayesian predictive probabilities for interim monitoring of clinical trials.

Authors:  Benjamin R Saville; Jason T Connor; Gregory D Ayers; JoAnn Alvarez
Journal:  Clin Trials       Date:  2014-05-28       Impact factor: 2.486

9.  Stopping clinical trials early for futility: retrospective analysis of several randomised clinical studies.

Authors:  M Jitlal; I Khan; S M Lee; A Hackshaw
Journal:  Br J Cancer       Date:  2012-08-09       Impact factor: 7.640

Review 10.  A systematic review of the reporting of Data Monitoring Committees' roles, interim analysis and early termination in pediatric clinical trials.

Authors:  Ricardo M Fernandes; Johanna H van der Lee; Martin Offringa
Journal:  BMC Pediatr       Date:  2009-12-13       Impact factor: 2.125

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.