Division of Infectious Diseases and International Health, Department of Medicine, Duke University School of Medicine, Durham, North Carolina, United States of America.
PLoS One. 2013 Oct 16;8(10):e77086. doi: 10.1371/journal.pone.0077086. eCollection 2013.
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.
目前,针对传染病(ID)专家所面临的具体问题的临床试验相对较少。ClinicalTrials.gov 注册处为评估 ID 临床试验组合提供了机会。
我们检查了 2007 年至 2010 年在 ClinicalTrials.gov 注册的 40970 项干预性试验,重点关注研究条件和干预措施,以确定与 ID 相关的试验。对每个通过编程确定的试验进行了手动确认,结果共确定了 3570 项 ID 试验和 37400 项非 ID 试验进行分析。
ID 试验的数量与心血管医学(n = 3437)或精神健康(n = 3695)专业确定的试验数量相似。超过一半的 ID 试验是治疗性试验(53%,而非 ID 试验为 77%),其次是预防(38%,而非 ID 试验为 8%)。ID 试验往往比其他专业的试验规模更大,中位数纳入人数为 125 例(四分位距 [IQR],45-400),而非 ID 试验为 60 例(IQR,30-160)。大多数 ID 研究是随机的(73%)但未设盲(56%)。51%的 ID 试验的资金来源是工业界,而 10%的试验主要由 NIH 资助。HIV/AIDS 试验是 ID 试验中最大的亚组(n = 815 [23%]),其次是流感疫苗(n = 375 [11%])和丙型肝炎(n = 339 [9%])试验。相对于美国和全球死亡率,HIV/AIDS 和丙型肝炎病毒试验的代表性过高,而在这个大规模的 ID 临床试验样本中,下呼吸道感染试验的代表性不足。
这项工作是首次对 ClinicalTrials.gov 注册的 ID 临床试验进行特征描述,为讨论优先事项、方法和政策提供了框架。