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[临床试验中的质量控制]

[Quality control in clinical trials].

作者信息

Fukushima M

机构信息

Department of Internal Medicine, Aichi Cancer Center, Japan.

出版信息

Gan To Kagaku Ryoho. 1996 Jan;23(2):172-82.

PMID:8611045
Abstract

Quality control (QC) in clinical trials means the procedures which insure protection of human subjects from research risk, reliability of the data, and thereby assures internal consistency. This has been developed since 1970s in the US, by establishing various regulations which are now called GCP. From the viewpoint of total QC, it should be emphasized that rigorous review of protocol by the Institutional Review Board and obtaining Informed Consent are prerequisites for insuring the quality of the given trial at high scientific level. When pursuing a clinical trial, first of all, facilities of the institutions and the ability of investigators must be of high quality. For this reason, at each institution previous data related to trials should be thoroughly reviewed and analyzed prior to developing a protocol. Educational courses in QC in clinical practice are invaluable. QC of diagnosis means, for example, central pathology review and standardization of diagnostic procedures and process. Secondly, at each institution, data managers collect the data and submit them to the central office at the indicated time. In order to evolve clinical trial, continuous education for data managers and expansion of their job are encouraged. Thirdly, at the statistical center independent from the research group office, subject-specific data managers, the biostatistical staff, must check submitted forms for completeness, consistency and accuracy. Finally, at the data analysis, quality evaluation of the research should also be carried out. Throughout the trial, monitoring and audit are particularly important to assure quality. The sponsor has the responsibility of monitoring the trial and make rigorous onsite visits, and the individual study group also have a monitoring program, while the FDA and the NCI audit by themselves. The purpose of audit is not only to assure data reliability but also to check out patient compliance to drug, education as to regulations and rules of clinical trials and the analysis of violations so as to provide suggestions to improve medical care.

摘要

临床试验中的质量控制(QC)是指确保保护人类受试者免受研究风险、保证数据可靠性从而确保内部一致性的程序。这一概念自20世纪70年代起在美国发展起来,通过制定各种如今被称为《药物临床试验质量管理规范》(GCP)的法规得以实现。从全面质量控制的角度来看,应当强调的是,机构审查委员会对试验方案进行严格审查并获得知情同意是确保特定试验在高科学水平上具备质量的先决条件。在开展一项临床试验时,首先,机构的设施和研究人员的能力必须具备高质量。因此,在每个机构,在制定试验方案之前,应彻底审查和分析与以往试验相关的数据。临床实践中的质量控制教育课程非常宝贵。诊断的质量控制意味着,例如,进行中心病理学审查以及诊断程序和过程的标准化。其次,在每个机构,数据管理人员收集数据并在指定时间将其提交至中心办公室。为了推动临床试验的发展,鼓励对数据管理人员进行持续教育并扩大其工作职责。第三,在独立于研究组办公室的统计中心,特定受试者的数据管理人员、生物统计学人员必须检查提交的表格是否完整、一致和准确。最后,在数据分析阶段,也应对研究进行质量评估。在整个试验过程中,监测和审核对于确保质量尤为重要。申办者有责任监测试验并进行严格的现场考察,各个研究组也有自己的监测计划,而美国食品药品监督管理局(FDA)和美国国立癌症研究所(NCI)会自行进行审核。审核的目的不仅在于确保数据可靠性,还在于检查患者对药物的依从性、关于临床试验法规和规则的教育情况以及对违规行为的分析,以便提出改进医疗护理的建议。

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