Shiovitz Thomas M, Bain Earle E, McCann David J, Skolnick Phil, Laughren Thomas, Hanina Adam, Burch Daniel
California Neuroscience Research Medical Group, Sherman Oaks, CA, USA.
CTSdatabase, LLC, Beverly Hills, CA, USA.
J Clin Pharmacol. 2016 Sep;56(9):1151-64. doi: 10.1002/jcph.689. Epub 2016 Jan 22.
Accounting for subject nonadherence and eliminating inappropriate subjects in clinical trials are critical elements of a successful study. Nonadherence can increase variance, lower study power, and reduce the magnitude of treatment effects. Inappropriate subjects (including those who do not have the illness under study, fail to report exclusionary conditions, falsely report medication adherence, or participate in concurrent trials) confound safety and efficacy signals. This paper, a product of the International Society for CNS Clinical Trial Methodology (ISCTM) Working Group on Nonadherence in Clinical Trials, explores and models nonadherence in clinical trials and puts forth specific recommendations to identify and mitigate its negative effects. These include statistical analyses of nonadherence data, novel protocol design, and the use of biomarkers, subject registries, and/or medication adherence technologies.
在临床试验中,考虑受试者的不依从性并排除不适当的受试者是成功开展研究的关键要素。不依从性会增加方差、降低研究效能并减小治疗效果的幅度。不适当的受试者(包括那些没有所研究疾病、未报告排除标准情况、虚假报告药物依从性或参与同期试验的受试者)会混淆安全性和有效性信号。本文是国际中枢神经系统临床试验方法学会(ISCTM)临床试验不依从性工作组的成果,探讨并建立了临床试验中不依从性的模型,并提出了识别和减轻其负面影响的具体建议。这些建议包括对不依从性数据进行统计分析、采用新颖的方案设计,以及使用生物标志物、受试者登记系统和/或药物依从性技术。