A cross-sectional analysis of HIV and hepatitis C clinical trials 2007 to 2010: the relationship between industry sponsorship and randomized study design.
Abstract
<h4>Background</h4>The proportion of clinical research sponsored by industry will
likely continue to expand as federal funds for academic research decreases, particularly
in the fields of HIV/AIDS and hepatitis C (HCV). While HIV and HCV continue to burden
the US population, insufficient data exists as to how industry sponsorship affects
clinical trials involving these infectious diseases. Debate exists about whether pharmaceutical
companies undertake more market-driven research practices to promote therapeutics,
or instead conduct more rigorous trials than their non-industry counterparts because
of increased resources and scrutiny. The ClinicalTrials.gov registry, which allows
investigators to fulfill a federal mandate for public trial registration, provides
an opportunity for critical evaluation of study designs for industry-sponsored trials,
independent of publication status. As part of a large public policy effort, the Clinical
Trials Transformation Initiative (CTTI) recently transformed the ClinicalTrials.gov
registry into a searchable dataset to facilitate research on clinical trials themselves.<h4>Methods</h4>We
conducted a cross-sectional analysis of 477 HIV and HCV drug treatment trials, registered
with ClinicalTrials.gov from 1 October 2007 to 27 September 2010, to study the relationship
of study sponsorship with randomized study design. The likelihood of using randomization
given industry (versus non-industry) sponsorship was reported with prevalence ratios
(PR). PRs were estimated using crude and stratified tabular analysis and Poisson regression
adjusting for presence of a data monitoring committee, enrollment size, study phase,
number of study sites, inclusion of foreign study sites, exclusion of persons older
than age 65, and disease condition.<h4>Results</h4>The crude PR was 1.17 (95% CI 0.94,
1.45). Adjusted Poisson models produced a PR of 1.13 (95% CI 0.82, 1.56). There was
a trend toward mild effect measure modification by study phase, but this was not statistically
significant. In stratified tabular analysis the adjusted PR was 1.14 (95% CI 0.78,
1.68) among phase 2/3 trials and 1.06 (95% CI 0.50, 2.22) among phase 4 trials.<h4>Conclusions</h4>No
significant relationship was found between industry sponsorship and use of randomization
in trial design in this cross-sectional study. Prospective studies evaluating other
aspects of trial design may shed further light on the relationship between industry
sponsorship and appropriate trial methodology.
Type
Journal articleSubject
HumansHepatitis C
HIV Infections
Registries
Cross-Sectional Studies
Research Design
Health Care Sector
Conflict of Interest
Research Support as Topic
Randomized Controlled Trials as Topic
Data Mining
Bias
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https://hdl.handle.net/10161/26714Published Version (Please cite this version)
10.1186/1745-6215-15-31Publication Info
Goswami, Neela D; Tsalik, Ephraim L; Naggie, Susanna; Miller, William C; Horton, John
R; Pfeiffer, Christopher D; & Hicks, Charles B (2014). A cross-sectional analysis of HIV and hepatitis C clinical trials 2007 to 2010: the
relationship between industry sponsorship and randomized study design. Trials, 15(1). pp. 31. 10.1186/1745-6215-15-31. Retrieved from https://hdl.handle.net/10161/26714.This is constructed from limited available data and may be imprecise. To cite this
article, please review & use the official citation provided by the journal.
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Show full item recordScholars@Duke
Susanna Naggie
Professor of Medicine
Dr. Susanna Naggie completed her undergraduate degrees in chemical engineering and
biochemistry at the University of Maryland, College Park, and her medical education
at Johns Hopkins School of Medicine. She conducted her internal medicine and infectious
diseases fellowship training at Duke University Medical Center, where she also served
as Chief Resident. She joined the faculty in the Duke School of Medicine in 2009.
She is a Professor of Medicine and currently holds appointments at the Duk
Ephraim Tsalik
Adjunct Associate Professor in the Department of Medicine
My research at Duke has focused on understanding the dynamic between host and pathogen
so as to discover and develop host-response markers that can diagnose and predict
health and disease. This new and evolving approach to diagnosing illness has the
potential to significantly impact individual as well as public health considering
the rise of antibiotic resistance.
With any potential infectious disease diagnosis, it is difficult, if not impossible,
to determine at the time of pre
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