Literature DB >> 20423925

A general inefficacy interim monitoring rule for randomized clinical trials.

Boris Freidlin1, Edward L Korn, Robert Gray.   

Abstract

BACKGROUND: The ultimate goal of a phase III randomized clinical trial designed to demonstrate superiority of a new versus standard therapy is to provide sufficiently compelling evidence to affect clinical practice. To balance patient interests against the need for acquiring evidence it is desirable to stop a study for inefficacy as soon as convincing evidence that the new therapy is not beneficial becomes available.
PURPOSE: To discuss potential deficiencies in some commonly used inefficacy monitoring rules and to propose a comprehensive inefficacy monitoring procedure.
METHODS: The proposed approach is developed using clinical, logistical, and statistical considerations. The new approach is compared to the commonly used inefficacy rules in a simulation study.
RESULTS: Some of the commonly used inefficacy rules are suboptimal with respect to the strength of evidence required for stopping throughout the trial: too conservative in the middle and/or too aggressive at the end. Our approach allows timely stopping (a) if the new therapy is harmful, and (b) if the interim data provides convincing evidence that the new therapy has no tangible benefit. Relative to common inefficacy rules, our procedure is shown to result in potentially fewer treated patients and shorter study duration under the null hypothesis with only a minor loss of power under the alternative hypothesis. LIMITATIONS: The proposed procedure is applicable to superiority designs with well-defined clinical objectives.
CONCLUSIONS: The proposed inefficacy approach is attractive from statistical, clinical, and logistical standpoints. By decreasing average stopping times relative to the commonly used boundaries, our rule lessens patient exposure to inactive treatments, improves resource utilization, and accelerates dissemination of important clinical information. At the same time, the proposed rule provides a clear benchmark for providing compelling evidence that the new therapy is not beneficial. Clinical Trials 2010; 7: 197-208. http://ctj.sagepub.com.

Entities:  

Mesh:

Year:  2010        PMID: 20423925     DOI: 10.1177/1740774510369019

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


  22 in total

1.  Design issues in randomized phase II/III trials.

Authors:  Edward L Korn; Boris Freidlin; Jeffrey S Abrams; Susan Halabi
Journal:  J Clin Oncol       Date:  2012-01-23       Impact factor: 44.544

2.  Adaptive Clinical Trials: Advantages and Disadvantages of Various Adaptive Design Elements.

Authors:  Edward L Korn; Boris Freidlin
Journal:  J Natl Cancer Inst       Date:  2017-06-01       Impact factor: 13.506

3.  Randomized, placebo-controlled trial of propranolol added to topiramate in chronic migraine.

Authors:  S D Silberstein; D W Dodick; A S Lindblad; K Holroyd; M Harrington; N T Mathew; D Hirtz
Journal:  Neurology       Date:  2012-02-29       Impact factor: 9.910

4.  Six versus 12 months' adjuvant trastuzumab in patients with HER2-positive early breast cancer: the PERSEPHONE non-inferiority RCT.

Authors:  Helena Earl; Louise Hiller; Anne-Laure Vallier; Shrushma Loi; Karen McAdam; Luke Hughes-Davies; Daniel Rea; Donna Howe; Kerry Raynes; Helen B Higgins; Maggie Wilcox; Chris Plummer; Betania Mahler-Araujo; Elena Provenzano; Anita Chhabra; Sophie Gasson; Claire Balmer; Jean E Abraham; Carlos Caldas; Peter Hall; Bethany Shinkins; Christopher McCabe; Claire Hulme; David Miles; Andrew M Wardley; David A Cameron; Janet A Dunn
Journal:  Health Technol Assess       Date:  2020-08       Impact factor: 4.014

5.  Outcome--adaptive randomization: is it useful?

Authors:  Edward L Korn; Boris Freidlin
Journal:  J Clin Oncol       Date:  2010-12-20       Impact factor: 44.544

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.  Randomized phase II/III confirmatory treatment selection design with a change of survival end points: Statistical design of Radiation Therapy Oncology Group 1216.

Authors:  Qiang Ed Zhang; Qian Wu; Paul M Harari; David I Rosenthal
Journal:  Head Neck       Date:  2018-12-14       Impact factor: 3.147

8.  Biostatistical and Logistical Considerations in the Development of Basket and Umbrella Clinical Trials.

Authors:  Laura M Yee; Lisa M McShane; Boris Freidlin; Margaret M Mooney; Edward L Korn
Journal:  Cancer J       Date:  2019 Jul/Aug       Impact factor: 3.360

9.  Effect of Standard vs Dose-Escalated Radiation Therapy for Patients With Intermediate-Risk Prostate Cancer: The NRG Oncology RTOG 0126 Randomized Clinical Trial.

Authors:  Jeff M Michalski; Jennifer Moughan; James Purdy; Walter Bosch; Deborah W Bruner; Jean-Paul Bahary; Harold Lau; Marie Duclos; Matthew Parliament; Gerard Morton; Daniel Hamstra; Michael Seider; Michael I Lock; Malti Patel; Hiram Gay; Eric Vigneault; Kathryn Winter; Howard Sandler
Journal:  JAMA Oncol       Date:  2018-06-14       Impact factor: 31.777

10.  Rationale and design of the GUIDE-IT study: Guiding Evidence Based Therapy Using Biomarker Intensified Treatment in Heart Failure.

Authors:  G Michael Felker; Tariq Ahmad; Kevin J Anstrom; Kirkwood F Adams; Lawton S Cooper; Justin A Ezekowitz; Mona Fiuzat; Nancy Houston-Miller; James L Januzzi; Eric S Leifer; Daniel B Mark; Patrice Desvigne-Nickens; Gayle Paynter; Ileana L Piña; David J Whellan; Christopher M O'Connor
Journal:  JACC Heart Fail       Date:  2014-09-03       Impact factor: 12.035

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.