Literature DB >> 12559643

Be skeptical about unexpected large apparent treatment effects: the case of an MRC AML12 randomization.

Keith Wheatley1, David Clayton.   

Abstract

The preliminary results of the twelfth Medical Research Council acute myeloid leukemia trial show no evidence of a survival advantage for five courses of therapy compared to four courses in a randomized comparison involving 1078 patients (hazard ratio 1.09, 95% confidence interval [CI] 0.87-1.37, p=0.4). However, the data presented to the independent data monitoring and ethics committee (DMEC) at both its reviews in 1998 suggested large benefits for the additional course with hazard ratios of 0.47 and 0.55 (95% CIs 0.29-0.77 and 0.38-0.80, p=0.003 and p=0.002, respectively). Despite these highly significant findings, the DMEC did not recommend closure of the randomization, a decision vindicated by the subsequent reversion to a null result. The main reason for not closing the randomization was that the treatment effects observed in 1998 (53% and 45% reductions in the odds of death) were considered too large to be clinically plausible, despite the p-values associated with them. Investigations have not identified any clinical explanations, such as different types of patients in the early and later parts of the trial, to explain the loss of benefit as the trial progressed. Thus, the most likely current explanation for the large benefit observed early on is the play of chance. Lessons to be learned from this example are that: fixed stopping rules based on some predetermined p-value should not be used and the decision to close a randomization or not should take account of other factors such as the medical plausibility of the magnitude of the treatment effect; chance effects do occur and happen more frequently than many clinicians realize; it is important that DMEC members are experienced in the interpretation of clinical trial evidence and aware of the dangers of early stopping without wholly convincing evidence.

Entities:  

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Year:  2003        PMID: 12559643     DOI: 10.1016/s0197-2456(02)00273-8

Source DB:  PubMed          Journal:  Control Clin Trials        ISSN: 0197-2456


  19 in total

Review 1.  Statistics in clinical trials.

Authors:  Stephanie J Green; Donna K Pauler
Journal:  Curr Oncol Rep       Date:  2004-01       Impact factor: 5.075

2.  How to spot bias and other potential problems in randomised controlled trials.

Authors:  S C Lewis; C P Warlow
Journal:  J Neurol Neurosurg Psychiatry       Date:  2004-02       Impact factor: 10.154

3.  Are the recommendations to use perioperative beta-blocker therapy in patients undergoing noncardiac surgery based on reliable evidence?

Authors:  P J Devereaux; Salim Yusuf; Homer Yang; Peter T-L Choi; Gordon H Guyatt
Journal:  CMAJ       Date:  2004-08-03       Impact factor: 8.262

4.  Assessing the bioethical integrity of a clinical trial in surgery.

Authors:  Mark Bernstein
Journal:  Can J Surg       Date:  2004-10       Impact factor: 2.089

Review 5.  Randomized controlled trials and neuro-oncology: should alternative designs be considered?

Authors:  Alireza Mansouri; Samuel Shin; Benjamin Cooper; Archita Srivastava; Mohit Bhandari; Douglas Kondziolka
Journal:  J Neurooncol       Date:  2015-08-22       Impact factor: 4.130

Review 6.  Should desperate volunteers be included in randomised controlled trials?

Authors:  P Allmark; S Mason
Journal:  J Med Ethics       Date:  2006-09       Impact factor: 2.903

Review 7.  [Perioperative administration of beta-blockers. Critical appraisal of recent meta-analyses].

Authors:  R Strametz; B Zwissler
Journal:  Anaesthesist       Date:  2006-11       Impact factor: 1.041

8.  Stopping or reporting early for positive results in randomized clinical trials: the National Cancer Institute Cooperative Group experience from 1990 to 2005.

Authors:  Edward L Korn; Boris Freidlin; Margaret Mooney
Journal:  J Clin Oncol       Date:  2009-02-23       Impact factor: 44.544

Review 9.  Protecting clinical trial participants and protecting data integrity: are we meeting the challenges?

Authors:  Susan S Ellenberg
Journal:  PLoS Med       Date:  2012-06-12       Impact factor: 11.069

10.  Design, conduct, analysis and reporting of a multi-national placebo-controlled trial of activated protein C for persistent septic shock.

Authors:  Simon Finfer; V Marco Ranieri; B Taylor Thompson; Philip S Barie; Jean-François Dhainaut; Ivor S Douglas; Bengt Gårdlund; John C Marshall; Andrew Rhodes
Journal:  Intensive Care Med       Date:  2008-10-07       Impact factor: 17.440

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