Floriani Irene, Rotmensz Nicole, Albertazzi Elena, Torri Valter, De Rosa Marisa, Tomino Carlo, de Braud Fillipo
Department of Oncology, Istituto di Ricerche Farmacologiche "Mario Negri", Milan, Italy.
Trials. 2008 Jul 25;9:46. doi: 10.1186/1745-6215-9-46.
Although interim analysis approaches in clinical trials are widely known, information on current practice of planned monitoring is still scarce. Reports of studies rarely include details on the strategies for both data monitoring and interim analysis. The aim of this project is to investigate the forms of monitoring used in cancer clinical trials and in particular to gather information on the role of interim analyses in the data monitoring process of a clinical trial. This study focused on the prevalence of different types of interim analyses and data monitoring in cancer clinical trials.
Source of investigation were the protocols of cancer clinical trials included in the Italian registry of clinical trials from 2000 to 2005. Evaluation was restricted to protocols of randomised studies with a time to event endpoint, such as overall survival (OS) or progression free survival (PFS). A template data extraction form was developed and tested in a pilot phase. Selection of relevant protocols and data extraction were performed independently by two evaluators, with differences in the data assessment resolved by consensus with a third reviewer, referring back to the original protocol. Information was obtained on a) general characteristics of the protocol b) disease localization and patient setting; c) study design d) interim analyses; e) DSMC.
The analysis of the collected protocols reveals that 70.7% of the protocols incorporate statistical interim analysis plans, but only 56% have also a DSMC and be considered adequately planned. The most concerning cases are related to lack of any form of monitoring (20.0% of the protocols), and the planning of interim analysis, without DSMC (14.7%).
The results indicate that there is still insufficient attention paid to the implementation of interim analysis.
尽管临床试验中的期中分析方法广为人知,但关于当前计划监测实践的信息仍然匮乏。研究报告很少包含数据监测和期中分析策略的详细信息。本项目的目的是调查癌症临床试验中使用的监测形式,特别是收集关于期中分析在临床试验数据监测过程中的作用的信息。本研究聚焦于癌症临床试验中不同类型期中分析和数据监测的普遍性。
调查来源为2000年至2005年意大利临床试验注册中心收录的癌症临床试验方案。评估仅限于具有事件发生时间终点(如总生存期(OS)或无进展生存期(PFS))的随机研究方案。在试点阶段开发并测试了一份模板数据提取表。两名评估人员独立进行相关方案的筛选和数据提取,数据评估中的差异通过与第三位审阅者协商解决,并参考原始方案。获取了以下方面的信息:a)方案的一般特征;b)疾病定位和患者情况;c)研究设计;d)期中分析;e)数据安全监测委员会(DSMC)。
对收集到的方案进行分析发现,70.7%的方案纳入了统计期中分析计划,但只有56%也设有数据安全监测委员会(DSMC)并被认为计划充分。最令人担忧的情况是缺乏任何形式的监测(占方案的20.0%)以及在没有数据安全监测委员会(DSMC)的情况下进行期中分析的计划(占14.7%)。
结果表明,对期中分析的实施仍未给予足够重视。