Literature DB >> 3920906

The futility index. An approach to the cost-effective termination of randomized clinical trials.

J H Ware, J E Muller, E Braunwald.   

Abstract

Although the randomized clinical trial is recognized as the method of choice for evaluating therapeutic innovations, it is often enormously expensive--in some instances, as a result of the unnecessary continuation of a trial destined to conclude that an innovation is not superior to standard therapy. Although most large clinical trials in which results evolve over time are monitored for early evidence of efficacy or toxicity, trials are rarely terminated because the probability of a positive result regarding the value of the innovation has become low. This paper discusses the issues involved in the monitoring and early termination of long-term clinical trials and describes the futility index, a probabilistic basis for early termination of trials of innovative therapy when the accumulated data imply small probability of success. Utilization of the futility index in the management of clinical trials of innovations can be of value in reducing, at slight loss of power, the number of unproductive studies carried to completion, thereby creating new opportunities for more effective use of limited resources.

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Year:  1985        PMID: 3920906     DOI: 10.1016/0002-9343(85)90407-3

Source DB:  PubMed          Journal:  Am J Med        ISSN: 0002-9343            Impact factor:   4.965


  7 in total

1.  When to stop a clinical trial.

Authors:  S J Pocock
Journal:  BMJ       Date:  1992-07-25

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

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

Review 3.  Design, data monitoring, and analysis of clinical trials with co-primary endpoints: A review.

Authors:  Toshimitsu Hamasaki; Scott R Evans; Koko Asakura
Journal:  J Biopharm Stat       Date:  2017-10-30       Impact factor: 1.051

4.  Interim evaluation of efficacy or futility in group-sequential trials with multiple co-primary endpoints.

Authors:  Koko Asakura; Toshimitsu Hamasaki; Scott R Evans
Journal:  Biom J       Date:  2016-10-19       Impact factor: 2.207

5.  Interim Monitoring for Futility in Clinical Trials with Two Co-primary Endpoints Using Prediction.

Authors:  Koko Asakura; Scott R Evans; Toshimitsu Hamasaki
Journal:  Stat Biopharm Res       Date:  2019-11-04       Impact factor: 1.452

6.  Determining a Bayesian predictive power stopping rule for futility in a non-inferiority trial with binary outcomes.

Authors:  Anna Heath; Martin Offringa; Petros Pechlivanoglou; Juan David Rios; Terry P Klassen; Naveen Poonai; Eleanor Pullenayegum
Journal:  Contemp Clin Trials Commun       Date:  2020-04-08

7.  Learning from failure--rationale and design for a study about discontinuation of randomized trials (DISCO study).

Authors:  Benjamin Kasenda; Erik B von Elm; John You; Anette Blümle; Yuki Tomonaga; Ramon Saccilotto; Alain Amstutz; Theresa Bengough; Jörg Meerpohl; Mihaela Stegert; Kari A O Tikkinen; Ignacio Neumann; Alonso Carrasco-Labra; Markus Faulhaber; Sohail Mulla; Dominik Mertz; Elie A Akl; Dirk Bassler; Jason W Busse; Ignacio Ferreira-González; Francois Lamontagne; Alain Nordmann; Rachel Rosenthal; Stefan Schandelmaier; Xin Sun; Per O Vandvik; Bradley C Johnston; Martin A Walter; Bernard Burnand; Matthias Schwenkglenks; Heiner C Bucher; Gordon H Guyatt; Matthias Briel
Journal:  BMC Med Res Methodol       Date:  2012-08-28       Impact factor: 4.615

  7 in total

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