: We recently demonstrated that the major threat to research integrity in clinical trials may be due to a violation of the equipoise or """"""""the uncertainty principle,"""""""" the fundamental principle on which nearly the entire system of human experimentation stands. This principle states that the patient should be enrolled in a randomized controlled trial (RCT) only if there is substantial uncertainty about which of the trial treatments would benefit a patient most. We hypothesize that there is a relationship between equipoise and trials outcomes. If the investigators do not know in advance what they are going to discover, and if the uncertainty principle is observed and the literature on experimental therapies is fairly complete, we would expect, over time, to find no significant difference between the proportion of published results that favor experimental treatments and those that favor comparison treatments. We have performed an earlier investigation on this issue and found that this expected distribution of outcomes was observed among those published trials that were funded by public resources, but that the uncertainty principle appeared to be violated among those published trials funded by pharmaceutical companies. However, we could not exclude publication bias as the explanation for the higher proportion of positive results in the literature. Based on other studies, failure to publish could be as high as 51%. Furthermore, we could not contrast our data with expected distributions of outcomes in Clinical trials, since this has not been determined. Therefore, the real relationship between the uncertainty principle and outcomes of RCTs remains unsettled. To elucidate this relationship, we propose to study a comprehensive population of initiated RCTs from a unique funder (using an inventory of the NCI-sponsored trials). Our hypothesis will be addressed through the following specific aims: 1. All National Cancer Institute (NCI)-sponsored RCTs trials funded in the years 1975 through 2001 will be identified using the NCI registry of clinical trials in cancer. 2. e will identify the primary and additional outcomes selected for study by the investigators. 3. We will review the trials (published and unpublished) to classify their primary and other outcomes, specifically whether the innovative or comparison treatment was preferred. 4. We will perform analyses for evidence of investigators' equipoise, and for the relationship of outcome to study quality, type of comparison treatment, investigator characteristics, and funding source Since violation of the principle of equipoise and publication bias represents two of the most serious threats to the integrity of the research process in RCTs, it is of long-term significance to understand the extent to which these factors are evident in the study of RCTs. By understanding these relationships, we will be in a position to contribute to the preservation of a system of high quality clinical trials in medicine. This proposal will answer both the question """"""""what do trials do for us?"""""""" and assess the reliability of the research in which public has invested so much.

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Research Project (R01)
Project #
5R01NS044417-02
Application #
6656379
Study Section
Special Emphasis Panel (ZNS1-SRB-H (01))
Program Officer
Moy, Claudia S
Project Start
2002-09-10
Project End
2004-08-31
Budget Start
2003-09-01
Budget End
2004-08-31
Support Year
2
Fiscal Year
2003
Total Cost
$145,000
Indirect Cost
Name
University of South Florida
Department
Type
DUNS #
069687242
City
Tampa
State
FL
Country
United States
Zip Code
33612
Djulbegovic, Benjamin; Hozo, Iztok; Ioannidis, John P A (2014) Improving the drug development process: more not less randomized trials. JAMA 311:355-6
Miladinovic, Branko; Kumar, Ambuj; Mhaskar, Rahul et al. (2014) Benchmarks for detecting 'breakthroughs' in clinical trials: empirical assessment of the probability of large treatment effects using kernel density estimation. BMJ Open 4:e005249
Djulbegovic, Benjamin; Kumar, Ambuj; Glasziou, Paul et al. (2013) Medical research: Trial unpredictability yields predictable therapy gains. Nature 500:395-6
Mhaskar, Rahul; Djulbegovic, Benjamin; Magazin, Anja et al. (2012) Published methodological quality of randomized controlled trials does not reflect the actual quality assessed in protocols. J Clin Epidemiol 65:602-9
Djulbegovic, Benjamin; Kumar, Ambuj; Glasziou, Paul P et al. (2012) New treatments compared to established treatments in randomized trials. Cochrane Database Syst Rev 10:MR000024
Tsalatsanis, Athanasios; Barnes, Laura; Hozo, Iztok et al. (2011) A social network analysis of treatment discoveries in cancer. PLoS One 6:e18060
Djulbegovic, Benjamin; Kumar, Ambuj; Magazin, Anja et al. (2011) Optimism bias leads to inconclusive results-an empirical study. J Clin Epidemiol 64:583-93
Djulbegovic, Benjamin (2011) Uncertainty and equipoise: at interplay between epistemology, decision making and ethics. Am J Med Sci 342:282-9
Djulbegovic, Benjamin (2009) The paradox of equipoise: the principle that drives and limits therapeutic discoveries in clinical research. Cancer Control 16:342-7
Djulbegovic, Benjamin; Kumar, Ambuj; Soares, Heloisa P et al. (2008) Treatment success in cancer: new cancer treatment successes identified in phase 3 randomized controlled trials conducted by the National Cancer Institute-sponsored cooperative oncology groups, 1955 to 2006. Arch Intern Med 168:632-42

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