A Patient Focused Solution for Enrolling Clinical Trials in Rare and Selective Cancer Indications: A Landscape of Haystacks and Needles.

Eric B Lynam, Jiin Leaw, Matthew B Wiener
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引用次数: 12

Abstract

Participation of adult cancer patients in US based clinical trials has remained near 3% for decades. Traditional research methodology reaches a small fraction of the target population with a fixed number of predetermined sites. Solutions are needed to ethically increase patient participation and accelerate cancer trial completion. We compared enrollment outcomes of traditional and patient focused research methodologies. A patient prioritized method (Just-In-Time, JIT) was implemented in parallel with traditionally managed sites in three cancer trials. JIT research sites were initiated after candidate patients presented, while traditional sites were initiated in advance. JIT sites enrolled with mean rates no less than, and up to 2.75 fold greater than, traditional sites. Mean patients enrolled per site was comparable (JIT-1.82, traditional-1.78). There were fewer non-enrolling JIT sites (2/28, 7%) compared to traditional sites 19/52, 37%). This retrospective analysis supports JIT as a prospective solution to increase cancer clinical trial enrollment and the efficiency of clinical trial administrative activities.

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在罕见和选择性癌症适应症中招募临床试验的以患者为中心的解决方案:干草堆和针的景观。
几十年来,成人癌症患者在美国临床试验中的参与率一直保持在3%左右。传统的研究方法通过固定数量的预定地点到达目标人群的一小部分。我们需要解决方案,从伦理上增加患者的参与,加速癌症试验的完成。我们比较了传统研究方法和以患者为中心的研究方法的入组结果。在三个癌症试验中,患者优先方法(准时制,JIT)与传统管理地点并行实施。JIT研究地点在候选患者出现后启动,而传统地点则提前启动。JIT站点的平均注册率不低于传统站点,最高可达2.75倍。每个站点入组的平均患者数相当(JIT-1.82,传统-1.78)。与传统网站(19/ 52,37 %)相比,非注册JIT网站(2/ 28,7 %)较少。这一回顾性分析支持JIT作为一个前瞻性的解决方案,以增加癌症临床试验登记和临床试验管理活动的效率。
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来源期刊
Drug Information Journal
Drug Information Journal 医学-卫生保健
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审稿时长
6-12 weeks
期刊最新文献
Relative Efficiency of Unequal Versus Equal Cluster Sizes for the Nonparametric Weighted Sign Test Estimators in Clustered Binary Data. A Patient Focused Solution for Enrolling Clinical Trials in Rare and Selective Cancer Indications: A Landscape of Haystacks and Needles. Testing in a Prespecified Subgroup and the Intent-to-Treat Population. The Correction of Product Information in Drug References and Medical Textbooks Evaluation of Data Entry Errors and Data Changes to an Electronic Data Capture Clinical Trial Database.
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