Dataset Information

An Analysis of Sponsors/Collaborators of 69,160 Drug Trials Registered with ClinicalTrials.gov.

ABSTRACT:

Background

Clinical trials have been criticized on various counts. Any attempt to improve how trials are conducted or reported requires--amongst other things--an understanding of the number, the nature and the location of those that sponsor them or collaborate on them. Here we sought to identify the nature and location of each sponsor/collaborator.

Methods and findings

We examined the 'sponsor/collaborator' field for the 69,160 drug trials that were registered with ClinicalTrials.gov over a 9-year period (2005-2014). Of the 12,823 unique sponsors, 56% had sponsored only one and 27% had sponsored 2-5 trials each. Just 18% were involved with six or more trials each, and we have (arbitrarily) labeled these organizations as 'more experienced' in sponsoring/collaborating on trials. These 18% (2,266 sponsors/collaborators) were analyzed further: (a) 951 were corporate organizations and (b) 1,145 were non-corporates (including 31 individuals) with (c) 170 unclassified. Further, we identified the location of each organization in (a) and (b).

Conclusions

Clinical trials are an important part of a nation's research endeavors, and ultimately contribute to the health of its people. Thus, understanding the clinical trial landscape--including the number and nature of sponsors, and how active they are--is important for every country. We believe that policy makers in particular should be interested in this study to understand the current situation, and to use the numbers as a baseline for the evolving landscape, to assess the impact of their strategies in future.

SUBMITTER: Keezhupalat SM

PROVIDER: S-EPMC4757412 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

An Analysis of Sponsors/Collaborators of 69,160 Drug Trials Registered with ClinicalTrials.gov.

Keezhupalat Shruthi Muralidharan SM Naik Ankeet A Gupta Saurabh S Srivatsan Raghunathan R Saberwal Gayatri G

PloS one 20160217 2

<h4>Background</h4>Clinical trials have been criticized on various counts. Any attempt to improve how trials are conducted or reported requires--amongst other things--an understanding of the number, the nature and the location of those that sponsor them or collaborate on them. Here we sought to identify the nature and location of each sponsor/collaborator.<h4>Methods and findings</h4>We examined the 'sponsor/collaborator' field for the 69,160 drug trials that were registered with ClinicalTrials. ...[more]

PMID: 26886868

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Project description:BackgroundThe development of mobile health (mHealth) technologies is progressing at a faster pace than that of the science to evaluate their validity and efficacy. Under the International Committee of Journal Medical Editors (ICMJE) guidelines, clinical trials that prospectively assign people to interventions should be registered with a database before the initiation of the study.ObjectiveThe aim of this study was to better understand the smartphone mHealth trials for high-burden neuropsychiatric conditions registered on ClinicalTrials.gov through November 2018, including the number, types, and characteristics of the studies being conducted; the frequency and timing of any outcome changes; and the reporting of results.MethodsWe conducted a systematic search of ClinicalTrials.gov for the top 10 most disabling neuropsychiatric conditions and prespecified terms related to mHealth. According to the 2016 World Health Organization Global Burden of Disease Study, the top 10 most disabling neuropsychiatric conditions are (1) stroke, (2) migraine, (3) major depressive disorder, (4) Alzheimer disease and other dementias, (5) anxiety disorders, (6) alcohol use disorders, (7) opioid use disorders, (8) epilepsy, (9) schizophrenia, and (10) other mental and substance use disorders. There were no date, location, or status restrictions.ResultsOur search identified 135 studies. A total of 28.9% (39/135) of studies evaluated interventions for major depressive disorder, 14.1% (19/135) of studies evaluated interventions for alcohol use disorders, 12.6% (17/135) of studies evaluated interventions for stroke, 11.1% (15/135) of studies evaluated interventions for schizophrenia, 8.1% (11/135) of studies evaluated interventions for anxiety disorders, 8.1% (11/135) of studies evaluated interventions for other mental and substance use disorders, 7.4% (10/135) of studies evaluated interventions for opioid use disorders, 3.7% (5/135) of studies evaluated interventions for Alzheimer disease or other dementias, 3.0% (4/135) of studies evaluated interventions for epilepsy, and 3.0% (4/135) of studies evaluated interventions for migraine. The studies were first registered in 2008; more than half of the studies were registered from 2016 to 2018. A total of 18.5% (25/135) of trials had results reported in some publicly accessible location. Across all the studies, the mean estimated enrollment (reported by the study) was 1078, although the median was only 100. In addition, across all the studies, the actual reported enrollment was lower, with a mean of 249 and a median of 80. Only about a quarter of the studies (35/135, 25.9%) were funded by the National Institutes of Health.ConclusionsDespite the increasing use of health-based technologies, this analysis of ClinicalTrials.gov suggests that only a few apps for high-burden neuropsychiatric conditions are being clinically evaluated in trials.

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Project description:Objective: This study aimed to analyze the characteristics and reasons of early discontinuation of obsessive-compulsive disorder (OCD) trials registered on ClinicalTrials.gov. Methods: OCD trials and relevant publications were searched on ClinicalTrials.gov and PubMed, respectively. The characteristics and details regarding the timely publication of trials were recorded. Cox regression analysis was used to explore factors associated with the early discontinuation of OCD trials. Results: The analysis included 298 OCD therapy trials. Most investigations recruited <100 patients and were more likely to involve adults. Of all OCD studies identified, 67.8% were randomized and 61.4% were blind (single- or double-blind). Universities and hospitals were recorded as the two primary locations in the majority of trials. A total of 155 trials (52%) were completed; however, only 29% of those were published. Of the published trials, >70% were published at least 1 year after completion. Behavioral therapy trials were the most common type of major treatment-aimed OCD trials (39%), followed by drug trials (35.1%) and device/procedure trials (24.7%). The univariate Cox regression analysis indicated that drug trials [hazard ratio (HR) = 2.56, 95% confidence interval (CI): 1.21-5.43], absence of collaborators (HR = 3.87, 95% CI: 1.62-9.26), and sponsorship by industry (HR = 3.97, 95% CI: 1.49-10.53) were risk factors for early discontinuation of OCD trials. Further multivariate Cox regression showed that drug trials (HR = 3.93, 95% CI: 1.71-9.08) and absence of collaborators (HR = 5.17, 95% CI: 1.97-13.54) were independent risk factors for early trial discontinuation of OCD trials. The sensitivity analysis confirmed these results. Non-drug trials (OR = 3.32, 95% CI: 1.21-9.11), absence of collaborators (OR = 3.25, 95% CI: 1.10-9.60), and non-blinded trials (OR = 5.23, 95% CI: 1.05-26.2) were independent risk factors for unreported results in registry. Conclusion: The diagnosis and prevention of OCD are rarely investigated in trials. Underreporting and delayed reporting remain major problems. The type of intervention and participation of collaborators are associated with early discontinuation of OCD trials.

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Dataset Information

An Analysis of Sponsors/Collaborators of 69,160 Drug Trials Registered with ClinicalTrials.gov.

Background

Methods and findings

Conclusions

Publications

An Analysis of Sponsors/Collaborators of 69,160 Drug Trials Registered with ClinicalTrials.gov.

Similar Datasets

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