The State of Infectious Diseases Clinical Trials: A Systematic Review of ClinicalTrials.gov
There is a paucity of clinical trials informing specific questions faced by infectious diseases (ID) specialists. The ClinicalTrials.gov registry offers an opportunity to evaluate the ID clinical trials portfolio. We examined 40,970 interventional trials registered with ClinicalTrials.gov from 2007-...
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Published in | PloS one Vol. 8; no. 10; p. e77086 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
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United States
Public Library of Science
16.10.2013
Public Library of Science (PLoS) |
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ISSN | 1932-6203 1932-6203 |
DOI | 10.1371/journal.pone.0077086 |
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Abstract | There is a paucity of clinical trials informing specific questions faced by infectious diseases (ID) specialists. The ClinicalTrials.gov registry offers an opportunity to evaluate the ID clinical trials portfolio.
We examined 40,970 interventional trials registered with ClinicalTrials.gov from 2007-2010, focusing on study conditions and interventions to identify ID-related trials. Relevance to ID was manually confirmed for each programmatically identified trial, yielding 3570 ID trials and 37,400 non-ID trials for analysis.
The number of ID trials was similar to the number of trials identified as belonging to cardiovascular medicine (n = 3437) or mental health (n = 3695) specialties. Slightly over half of ID trials were treatment-oriented trials (53%, vs. 77% for non-ID trials) followed by prevention (38%, vs. 8% in non-ID trials). ID trials tended to be larger than those of other specialties, with a median enrollment of 125 subjects (interquartile range [IQR], 45-400) vs. 60 (IQR, 30-160) for non-ID trials. Most ID studies are randomized (73%) but nonblinded (56%). Industry was the funding source in 51% of ID trials vs. 10% that were primarily NIH-funded. HIV-AIDS trials constitute the largest subset of ID trials (n = 815 [23%]), followed by influenza vaccine (n = 375 [11%]), and hepatitis C (n = 339 [9%]) trials. Relative to U.S. and global mortality rates, HIV-AIDS and hepatitis C virus trials are over-represented, whereas lower respiratory tract infection trials are under-represented in this large sample of ID clinical trials.
This work is the first to characterize ID clinical trials registered in ClinicalTrials.gov, providing a framework to discuss prioritization, methodology, and policy. |
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AbstractList | Background
There is a paucity of clinical trials informing specific questions faced by infectious diseases (ID) specialists. The ClinicalTrials.gov registry offers an opportunity to evaluate the ID clinical trials portfolio.
Methods
We examined 40,970 interventional trials registered with ClinicalTrials.gov from 2007–2010, focusing on study conditions and interventions to identify ID-related trials. Relevance to ID was manually confirmed for each programmatically identified trial, yielding 3570 ID trials and 37,400 non-ID trials for analysis.
Results
The number of ID trials was similar to the number of trials identified as belonging to cardiovascular medicine (n = 3437) or mental health (n = 3695) specialties. Slightly over half of ID trials were treatment-oriented trials (53%, vs. 77% for non-ID trials) followed by prevention (38%, vs. 8% in non-ID trials). ID trials tended to be larger than those of other specialties, with a median enrollment of 125 subjects (interquartile range [IQR], 45–400) vs. 60 (IQR, 30–160) for non-ID trials. Most ID studies are randomized (73%) but nonblinded (56%). Industry was the funding source in 51% of ID trials vs. 10% that were primarily NIH-funded. HIV-AIDS trials constitute the largest subset of ID trials (n = 815 [23%]), followed by influenza vaccine (n = 375 [11%]), and hepatitis C (n = 339 [9%]) trials. Relative to U.S. and global mortality rates, HIV-AIDS and hepatitis C virus trials are over-represented, whereas lower respiratory tract infection trials are under-represented in this large sample of ID clinical trials.
Conclusions
This work is the first to characterize ID clinical trials registered in ClinicalTrials.gov, providing a framework to discuss prioritization, methodology, and policy. There is a paucity of clinical trials informing specific questions faced by infectious diseases (ID) specialists. The ClinicalTrials.gov registry offers an opportunity to evaluate the ID clinical trials portfolio.BACKGROUNDThere is a paucity of clinical trials informing specific questions faced by infectious diseases (ID) specialists. The ClinicalTrials.gov registry offers an opportunity to evaluate the ID clinical trials portfolio.We examined 40,970 interventional trials registered with ClinicalTrials.gov from 2007-2010, focusing on study conditions and interventions to identify ID-related trials. Relevance to ID was manually confirmed for each programmatically identified trial, yielding 3570 ID trials and 37,400 non-ID trials for analysis.METHODSWe examined 40,970 interventional trials registered with ClinicalTrials.gov from 2007-2010, focusing on study conditions and interventions to identify ID-related trials. Relevance to ID was manually confirmed for each programmatically identified trial, yielding 3570 ID trials and 37,400 non-ID trials for analysis.The number of ID trials was similar to the number of trials identified as belonging to cardiovascular medicine (n = 3437) or mental health (n = 3695) specialties. Slightly over half of ID trials were treatment-oriented trials (53%, vs. 77% for non-ID trials) followed by prevention (38%, vs. 8% in non-ID trials). ID trials tended to be larger than those of other specialties, with a median enrollment of 125 subjects (interquartile range [IQR], 45-400) vs. 60 (IQR, 30-160) for non-ID trials. Most ID studies are randomized (73%) but nonblinded (56%). Industry was the funding source in 51% of ID trials vs. 10% that were primarily NIH-funded. HIV-AIDS trials constitute the largest subset of ID trials (n = 815 [23%]), followed by influenza vaccine (n = 375 [11%]), and hepatitis C (n = 339 [9%]) trials. Relative to U.S. and global mortality rates, HIV-AIDS and hepatitis C virus trials are over-represented, whereas lower respiratory tract infection trials are under-represented in this large sample of ID clinical trials.RESULTSThe number of ID trials was similar to the number of trials identified as belonging to cardiovascular medicine (n = 3437) or mental health (n = 3695) specialties. Slightly over half of ID trials were treatment-oriented trials (53%, vs. 77% for non-ID trials) followed by prevention (38%, vs. 8% in non-ID trials). ID trials tended to be larger than those of other specialties, with a median enrollment of 125 subjects (interquartile range [IQR], 45-400) vs. 60 (IQR, 30-160) for non-ID trials. Most ID studies are randomized (73%) but nonblinded (56%). Industry was the funding source in 51% of ID trials vs. 10% that were primarily NIH-funded. HIV-AIDS trials constitute the largest subset of ID trials (n = 815 [23%]), followed by influenza vaccine (n = 375 [11%]), and hepatitis C (n = 339 [9%]) trials. Relative to U.S. and global mortality rates, HIV-AIDS and hepatitis C virus trials are over-represented, whereas lower respiratory tract infection trials are under-represented in this large sample of ID clinical trials.This work is the first to characterize ID clinical trials registered in ClinicalTrials.gov, providing a framework to discuss prioritization, methodology, and policy.CONCLUSIONSThis work is the first to characterize ID clinical trials registered in ClinicalTrials.gov, providing a framework to discuss prioritization, methodology, and policy. There is a paucity of clinical trials informing specific questions faced by infectious diseases (ID) specialists. The ClinicalTrials.gov registry offers an opportunity to evaluate the ID clinical trials portfolio. We examined 40,970 interventional trials registered with ClinicalTrials.gov from 2007-2010, focusing on study conditions and interventions to identify ID-related trials. Relevance to ID was manually confirmed for each programmatically identified trial, yielding 3570 ID trials and 37,400 non-ID trials for analysis. The number of ID trials was similar to the number of trials identified as belonging to cardiovascular medicine (n = 3437) or mental health (n = 3695) specialties. Slightly over half of ID trials were treatment-oriented trials (53%, vs. 77% for non-ID trials) followed by prevention (38%, vs. 8% in non-ID trials). ID trials tended to be larger than those of other specialties, with a median enrollment of 125 subjects (interquartile range [IQR], 45-400) vs. 60 (IQR, 30-160) for non-ID trials. Most ID studies are randomized (73%) but nonblinded (56%). Industry was the funding source in 51% of ID trials vs. 10% that were primarily NIH-funded. HIV-AIDS trials constitute the largest subset of ID trials (n = 815 [23%]), followed by influenza vaccine (n = 375 [11%]), and hepatitis C (n = 339 [9%]) trials. Relative to U.S. and global mortality rates, HIV-AIDS and hepatitis C virus trials are over-represented, whereas lower respiratory tract infection trials are under-represented in this large sample of ID clinical trials. This work is the first to characterize ID clinical trials registered in ClinicalTrials.gov, providing a framework to discuss prioritization, methodology, and policy. Background There is a paucity of clinical trials informing specific questions faced by infectious diseases (ID) specialists. The ClinicalTrials.gov registry offers an opportunity to evaluate the ID clinical trials portfolio. Methods We examined 40,970 interventional trials registered with ClinicalTrials.gov from 2007-2010, focusing on study conditions and interventions to identify ID-related trials. Relevance to ID was manually confirmed for each programmatically identified trial, yielding 3570 ID trials and 37,400 non-ID trials for analysis. Results The number of ID trials was similar to the number of trials identified as belonging to cardiovascular medicine (n = 3437) or mental health (n = 3695) specialties. Slightly over half of ID trials were treatment-oriented trials (53%, vs. 77% for non-ID trials) followed by prevention (38%, vs. 8% in non-ID trials). ID trials tended to be larger than those of other specialties, with a median enrollment of 125 subjects (interquartile range [IQR], 45-400) vs. 60 (IQR, 30-160) for non-ID trials. Most ID studies are randomized (73%) but nonblinded (56%). Industry was the funding source in 51% of ID trials vs. 10% that were primarily NIH-funded. HIV-AIDS trials constitute the largest subset of ID trials (n = 815 [23%]), followed by influenza vaccine (n = 375 [11%]), and hepatitis C (n = 339 [9%]) trials. Relative to U.S. and global mortality rates, HIV-AIDS and hepatitis C virus trials are over-represented, whereas lower respiratory tract infection trials are under-represented in this large sample of ID clinical trials. Conclusions This work is the first to characterize ID clinical trials registered in ClinicalTrials.gov, providing a framework to discuss prioritization, methodology, and policy. BackgroundThere is a paucity of clinical trials informing specific questions faced by infectious diseases (ID) specialists. The ClinicalTrials.gov registry offers an opportunity to evaluate the ID clinical trials portfolio.MethodsWe examined 40,970 interventional trials registered with ClinicalTrials.gov from 2007-2010, focusing on study conditions and interventions to identify ID-related trials. Relevance to ID was manually confirmed for each programmatically identified trial, yielding 3570 ID trials and 37,400 non-ID trials for analysis.ResultsThe number of ID trials was similar to the number of trials identified as belonging to cardiovascular medicine (n = 3437) or mental health (n = 3695) specialties. Slightly over half of ID trials were treatment-oriented trials (53%, vs. 77% for non-ID trials) followed by prevention (38%, vs. 8% in non-ID trials). ID trials tended to be larger than those of other specialties, with a median enrollment of 125 subjects (interquartile range [IQR], 45-400) vs. 60 (IQR, 30-160) for non-ID trials. Most ID studies are randomized (73%) but nonblinded (56%). Industry was the funding source in 51% of ID trials vs. 10% that were primarily NIH-funded. HIV-AIDS trials constitute the largest subset of ID trials (n = 815 [23%]), followed by influenza vaccine (n = 375 [11%]), and hepatitis C (n = 339 [9%]) trials. Relative to U.S. and global mortality rates, HIV-AIDS and hepatitis C virus trials are over-represented, whereas lower respiratory tract infection trials are under-represented in this large sample of ID clinical trials.ConclusionsThis work is the first to characterize ID clinical trials registered in ClinicalTrials.gov, providing a framework to discuss prioritization, methodology, and policy. There is a paucity of clinical trials informing specific questions faced by infectious diseases (ID) specialists. The ClinicalTrials.gov registry offers an opportunity to evaluate the ID clinical trials portfolio. We examined 40,970 interventional trials registered with ClinicalTrials.gov from 2007-2010, focusing on study conditions and interventions to identify ID-related trials. Relevance to ID was manually confirmed for each programmatically identified trial, yielding 3570 ID trials and 37,400 non-ID trials for analysis. The number of ID trials was similar to the number of trials identified as belonging to cardiovascular medicine (n = 3437) or mental health (n = 3695) specialties. Slightly over half of ID trials were treatment-oriented trials (53%, vs. 77% for non-ID trials) followed by prevention (38%, vs. 8% in non-ID trials). ID trials tended to be larger than those of other specialties, with a median enrollment of 125 subjects (interquartile range [IQR], 45-400) vs. 60 (IQR, 30-160) for non-ID trials. Most ID studies are randomized (73%) but nonblinded (56%). Industry was the funding source in 51% of ID trials vs. 10% that were primarily NIH-funded. HIV-AIDS trials constitute the largest subset of ID trials (n = 815 [23%]), followed by influenza vaccine (n = 375 [11%]), and hepatitis C (n = 339 [9%]) trials. Relative to U.S. and global mortality rates, HIV-AIDS and hepatitis C virus trials are over-represented, whereas lower respiratory tract infection trials are under-represented in this large sample of ID clinical trials. This work is the first to characterize ID clinical trials registered in ClinicalTrials.gov, providing a framework to discuss prioritization, methodology, and policy. |
Audience | Academic |
Author | Chiswell, Karen Pfeiffer, Christopher D. Horton, John R. Tsalik, Ephraim L. Goswami, Neela D. Tasneem, Asba |
AuthorAffiliation | 5 Emergency Medicine Service, Durham VA Medical Center, Durham, North Carolina, United States of America 2 Department of Hospital and Specialty Medicine, Portland VA Medical Center, Portland, Oregon, United States of America 3 Division of Infectious Diseases, Oregon Health and Science University, Portland, Oregon, United States of America 4 Duke Clinical Research Institute, Durham, North Carolina, United States of America 1 Division of Infectious Diseases and International Health, Department of Medicine, Duke University School of Medicine, Durham, North Carolina, United States of America University Medical Center Göttingen, Germany |
AuthorAffiliation_xml | – name: 2 Department of Hospital and Specialty Medicine, Portland VA Medical Center, Portland, Oregon, United States of America – name: University Medical Center Göttingen, Germany – name: 5 Emergency Medicine Service, Durham VA Medical Center, Durham, North Carolina, United States of America – name: 4 Duke Clinical Research Institute, Durham, North Carolina, United States of America – name: 3 Division of Infectious Diseases, Oregon Health and Science University, Portland, Oregon, United States of America – name: 1 Division of Infectious Diseases and International Health, Department of Medicine, Duke University School of Medicine, Durham, North Carolina, United States of America |
Author_xml | – sequence: 1 givenname: Neela D. surname: Goswami fullname: Goswami, Neela D. – sequence: 2 givenname: Christopher D. surname: Pfeiffer fullname: Pfeiffer, Christopher D. – sequence: 3 givenname: John R. surname: Horton fullname: Horton, John R. – sequence: 4 givenname: Karen surname: Chiswell fullname: Chiswell, Karen – sequence: 5 givenname: Asba surname: Tasneem fullname: Tasneem, Asba – sequence: 6 givenname: Ephraim L. surname: Tsalik fullname: Tsalik, Ephraim L. |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/24146958$$D View this record in MEDLINE/PubMed |
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Copyright | COPYRIGHT 2013 Public Library of Science 2013 Goswami et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. 2013 Goswami et al 2013 Goswami et al |
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References | ref13 RO Darouiche (ref20) 2004; 350 DA Zarin (ref5) 2011; 364 ref15 ref14 S Kurtz (ref18) 2007; 89 K Wazny (ref17) 2013; 10(5) ref11 AR Khan (ref2) 2010; 51 DA Zarin (ref10) 2005; 353 DA Zarin (ref7) 2007; 297 ref16 ref19 ref8 A Tasneem (ref12) 2012; 7 ref4 CJ Gill (ref21) 2012; 2 DH Lee (ref1) 2011; 171 JE Gillen (ref9) 2004; 2 RM Califf (ref6) 2012; 307 L Johnson (ref3) 2010; 5 |
References_xml | – ident: ref4 – volume: 297 start-page: 2112 year: 2007 ident: ref7 article-title: Issues in the registration of clinical trials publication-title: JAMA doi: 10.1001/jama.297.19.2112 – volume: 89 start-page: 780 year: 2007 ident: ref18 article-title: Projections of primary and revision hip and knee arthroplasty in the United States from 2005 to 2030 publication-title: J Bone Joint Surg Am doi: 10.2106/00004623-200704000-00012 – volume: 2 start-page: e001186 year: 2012 ident: ref21 article-title: How often do US-based human subjects research studies register on time, and how often do they post their results? A statistical analysis of the Clinicaltrials.gov database publication-title: BMJ Open doi: 10.1136/bmjopen-2012-001186 – volume: 350 start-page: 1422 year: 2004 ident: ref20 article-title: Treatment of infections associated with surgical implants publication-title: N Engl J Med doi: 10.1056/NEJMra035415 – volume: 5 start-page: 9 year: 2010 ident: ref3 article-title: The Infectious Diseases Society of America Lyme guidelines: a cautionary tale about the development of clinical practice guidelines publication-title: Philos Ethics Humanit Med doi: 10.1186/1747-5341-5-9 – volume: 10(5) start-page: e1001446 year: 2013 ident: ref17 article-title: Setting research priorities to reduce mortality and morbidity of childhood diarrhoeal disease in the next 15 years publication-title: PLoS Med doi: 10.1371/journal.pmed.1001446 – volume: 364 start-page: 852 year: 2011 ident: ref5 article-title: The ClinicalTrials.gov results database–update and key issues publication-title: N Engl J Med doi: 10.1056/NEJMsa1012065 – volume: 2) start-page: 1466 year: 2004 ident: ref9 article-title: Design, implementation and management of a web-based data entry system for ClinicalTrials.gov publication-title: Stud Health Technol Inform 107(Pt – ident: ref13 doi: 10.1016/B978-012373960-5.00335-X – volume: 307 start-page: 1838 year: 2012 ident: ref6 article-title: Characteristics of clinical trials registered in ClinicalTrials.gov, 2007–2010 publication-title: JAMA doi: 10.1001/jama.2012.3424 – volume: 7 start-page: e33677 year: 2012 ident: ref12 article-title: The Database for Aggregate Analysis of ClinicalTrials.gov (AACT) and subsequent regrouping by clinical specialty publication-title: PloS One doi: 10.1371/journal.pone.0033677 – ident: ref19 doi: 10.1086/321863 – ident: ref8 – volume: 353 start-page: 2779 year: 2005 ident: ref10 article-title: Trial registration at ClinicalTrials.gov between May and October 2005 publication-title: N Engl J Med doi: 10.1056/NEJMsa053234 – ident: ref16 – volume: 171 start-page: 18 year: 2011 ident: ref1 article-title: Analysis of overall level of evidence behind Infectious Diseases Society of America practice guidelines publication-title: Arch Intern Med – ident: ref11 – ident: ref15 – volume: 51 start-page: 1147 year: 2010 ident: ref2 article-title: Quality and strength of evidence of the Infectious Diseases Society of America clinical practice guidelines publication-title: Clin Infect Dis doi: 10.1086/656735 – ident: ref14 |
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Snippet | There is a paucity of clinical trials informing specific questions faced by infectious diseases (ID) specialists. The ClinicalTrials.gov registry offers an... Background There is a paucity of clinical trials informing specific questions faced by infectious diseases (ID) specialists. The ClinicalTrials.gov registry... BackgroundThere is a paucity of clinical trials informing specific questions faced by infectious diseases (ID) specialists. The ClinicalTrials.gov registry... Background There is a paucity of clinical trials informing specific questions faced by infectious diseases (ID) specialists. The ClinicalTrials.gov registry... |
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Title | The State of Infectious Diseases Clinical Trials: A Systematic Review of ClinicalTrials.gov |
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