Literature DB >> 30412223

'Optimism bias' in contemporary national clinical trial network phase III trials: are we improving?

Kaveh Zakeri1, Sonal Noticewala2, Lucas Vitzthum2, E Sojourner2, Hanjie Shen3, Loren Mell4.   

Abstract

Background: Previous studies have found that overestimating treatment effects (i.e. 'optimism bias') leads to underpowered clinical trials. The prevalence of 'optimism bias' in contemporary National Clinical Trials Network (NCTN) cancer clinical trials is unknown.
Methods: We conducted a systematic review of NCTN phase III randomized trials published from January 2007 to January 2017. We compared the hypothesized versus observed treatment effects in each trial, and examined whether trial-related factors were correlated with the study results. We also reviewed the methods of each protocol to assess whether a rationale for the hypothesized effect size was provided.
Results: We identified 161 clinical trials, of which 130 were eligible for analysis. Original protocols could not be located for 8 trials (5.0%). Twenty-eight trials (21.5%) observed a statistically significant difference in the primary end point favoring the experimental treatment. The median ratio of observed-to-expected hazard ratios among trials that observed a statistically significant effect on the primary end point was 1.07 (range: 0.33-1.28) versus 1.32 (range: 0.86-2.02) for trials that did not, compared with 1.34 and 1.86, respectively, for National Cancer Institute (NCI) trials published between 1955 and 2006. An effect size at least as large as the one projected in the protocol trials was observed in 9.8% of trials, compared with 17% of NCI trials published from 1955 to 2006. Most trials (64.6%) provided no rationale to support the magnitude of the proposed treatment effect in the protocol. Conclusions: Despite a reduction in 'optimism bias' compared with previous eras, most contemporary NCTN phase III trials failed to establish statistically significant benefits of new cancer therapies. Better rationalization of proposed effect sizes in research protocols is needed.

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Mesh:

Year:  2018        PMID: 30412223      PMCID: PMC6454418          DOI: 10.1093/annonc/mdy340

Source DB:  PubMed          Journal:  Ann Oncol        ISSN: 0923-7534            Impact factor:   32.976


  27 in total

1.  Bad reporting does not mean bad methods for randomised trials: observational study of randomised controlled trials performed by the Radiation Therapy Oncology Group.

Authors:  Heloisa P Soares; Stephanie Daniels; Ambuj Kumar; Mike Clarke; Charles Scott; Suzanne Swann; Benjamin Djulbegovic
Journal:  BMJ       Date:  2004-01-03

2.  Can underpowered clinical trials be justified?

Authors:  Philip M Rosoff
Journal:  IRB       Date:  2004 May-Jun

3.  CONSORT 2010 explanation and elaboration: updated guidelines for reporting parallel group randomised trials.

Authors:  David Moher; Sally Hopewell; Kenneth F Schulz; Victor Montori; Peter C Gøtzsche; P J Devereaux; Diana Elbourne; Matthias Egger; Douglas G Altman
Journal:  BMJ       Date:  2010-03-23

4.  Evaluation of new treatments in radiation oncology: are they better than standard treatments?

Authors:  Heloisa P Soares; Ambuj Kumar; Stephanie Daniels; Suzanne Swann; Alan Cantor; Iztok Hozo; Mike Clark; Fadila Serdarevic; Clement Gwede; Andy Trotti; Benjamin Djulbegovic
Journal:  JAMA       Date:  2005-02-23       Impact factor: 56.272

5.  What are the implications of optimism bias in clinical research?

Authors:  Iain Chalmers; Robert Matthews
Journal:  Lancet       Date:  2006-02-11       Impact factor: 79.321

6.  Characteristics of clinical trials registered in ClinicalTrials.gov, 2007-2010.

Authors:  Robert M Califf; Deborah A Zarin; Judith M Kramer; Rachel E Sherman; Laura H Aberle; Asba Tasneem
Journal:  JAMA       Date:  2012-05-02       Impact factor: 56.272

7.  The truly remarkable universality of half a standard deviation: confirmation through another look.

Authors:  Geoffrey R Norman; Jeff A Sloan; Kathleen W Wyrwich
Journal:  Expert Rev Pharmacoecon Outcomes Res       Date:  2004-10       Impact factor: 2.217

8.  Absence of evidence is not evidence of absence.

Authors:  D G Altman; J M Bland
Journal:  BMJ       Date:  1995-08-19

9.  Equipoise and the ethics of clinical research.

Authors:  B Freedman
Journal:  N Engl J Med       Date:  1987-07-16       Impact factor: 91.245

10.  Statistical power, sample size, and their reporting in randomized controlled trials.

Authors:  D Moher; C S Dulberg; G A Wells
Journal:  JAMA       Date:  1994-07-13       Impact factor: 56.272

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  2 in total

Review 1.  Optimism Bias in the Design of Phase III Randomized Control Trials Evaluating PD-1/PD-L1 Targeting Monoclonal Antibodies.

Authors:  Laith Al-Showbaki; Fahad A Almugbel; Husam A Alqaisi; Eitan Amir; Eric X Chen
Journal:  Oncologist       Date:  2022-06-08       Impact factor: 5.837

2.  Public access to protocols of contemporary cancer randomized clinical trials.

Authors:  Christopher Babu; Loren Mell; Nancy Lee; Kaveh Zakeri
Journal:  Trials       Date:  2021-06-27       Impact factor: 2.279

  2 in total

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