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在一个由拨款资助的临床试验单位实施基于模型的I期设计所面临的挑战。

Challenges in implementing model-based phase I designs in a grant-funded clinical trials unit.

作者信息

Frangou Eleni, Holmes Jane, Love Sharon, McGregor Naomi, Hawkins Maria

机构信息

Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Windmill Road, Oxford, OX3 7LD, UK.

Oncology Clinical Trials Office (OCTO), Department of Oncology, University of Oxford, Old Road Campus Research Building, Roosevelt Drive, Oxford, OX3 7DQ, UK.

出版信息

Trials. 2017 Dec 28;18(1):620. doi: 10.1186/s13063-017-2389-2.

Abstract

BACKGROUND

For a clinical trials unit to run its first model-based, phase I trial, the statistician, chief investigator, and trial manager must all acquire a new set of skills. These trials also require a different approach to funding and data collection.

CHALLENGES AND DISCUSSION

From the statisticians' viewpoint, we highlight what is needed to move from running rule-based, early-phase trials to running a model-based phase I study as we experienced it in our trials unit located in the United Kingdom. Our example is CHARIOT, a dose-finding trial using the time-to-event continual reassessment method. It consists of three stages and aims to discover the maximum tolerated dose of the combination of radiotherapy, chemotherapy, and the ataxia telangiectasia mutated Rad3-related inhibitor M6620 (previously known as VX-970) in patients with oesophageal cancer. We present the challenges we faced in designing this trial and how we overcame them as a way of demystifying the conduct of a model-based trial in a grant-funded clinical trials unit.

CONCLUSIONS

Although we appreciate that undertaking model-based trials requires additional time and effort, they are feasible to implement and, once suitable tools such as guiding publications and document templates become available, the design and set-up process will be easier and more efficient.

摘要

背景

对于一个临床试验单位来说,要开展其首个基于模型的I期试验,统计学家、首席研究员和试验经理都必须掌握一套新技能。这些试验在资金筹集和数据收集方面也需要采用不同的方法。

挑战与讨论

从统计学家的角度出发,我们着重介绍了从开展基于规则的早期试验过渡到开展基于模型的I期研究所需的条件,这是我们在位于英国的试验单位所经历的。我们以CHARIOT为例,这是一项使用事件发生时间连续重新评估方法的剂量探索试验。它包括三个阶段,旨在确定食管癌患者接受放疗、化疗与共济失调毛细血管扩张症突变Rad3相关抑制剂M6620(以前称为VX-970)联合治疗的最大耐受剂量。我们介绍了在设计该试验过程中所面临的挑战以及我们是如何克服这些挑战的,以此来揭开在由资助的临床试验单位开展基于模型试验的神秘面纱。

结论

尽管我们认识到开展基于模型的试验需要额外的时间和精力,但它们是可行的,并且一旦有诸如指导性出版物和文档模板等合适的工具,设计和设置过程将会更加轻松和高效。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd82/5746014/0c8aeddc31d1/13063_2017_2389_Fig1_HTML.jpg

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