Wegman Anke C M, van der Windt Daniëlle A W M, Stalman Wim A B, de Vries Theo P G M
Department of Pharmacology/Pharmacotherapy, VU University medical center, Van der Boechorststraat 7, 1081 BT Amsterdam, The Netherlands.
BMC Fam Pract. 2006 Sep 19;7:54. doi: 10.1186/1471-2296-7-54.
Double-blind randomised N-of-1 trials (N-of-1 trials) may help with decisions concerning treatment when there is doubt regarding the effectiveness and suitability of medication for individual patients. The patient is his or her own control, and receives the experimental and the control treatment during several periods of time in random order. Reports of N-of-1 trials are still relatively scarce, and the research methodology is not as firmly established as that of RCTs. Recently, we have conducted two series of N-of-1 trials in general practice. Before, during, and after data-collection, difficulties regarding outcome assessment, analysis of the results, the withdrawal of patients, and the follow-up had to be dealt with. These difficulties are described and our solutions are discussed.
To prevent or anticipate difficulties in N-of-1 trials, we argue that that it is important to individualize the outcome measures, and to carefully consider the objective, type of randomisation and the analysis. It is recommended to use the same dosages and dosage forms that the patient used before the trial, to start the trial with a run-in period, to formulate both general and individualized decision rules regarding the efficacy of treatment, to adjust treatment policies immediately after the trial, and to provide adequate instructions and support if treatment is adjusted.
Because of the specific characteristics of N-of-1 trials it is difficult to formulate general 'how to do it' guidelines for designing N-of-1 trials. However, when the design of each N-of-1 trial is tailored to the specific characteristics of each individual patient and the underlying medical problem, most difficulties in N-of-1 trials can be prevented or overcome. In this way, N-of-1 trials may be of help when deciding on drug treatment for individual patients.
双盲随机单病例试验(单病例试验)有助于在对个体患者用药的有效性和适用性存疑时做出治疗决策。患者自身作为对照,在多个时间段内随机接受试验治疗和对照治疗。单病例试验的报告仍然相对较少,其研究方法也不像随机对照试验那样成熟。最近,我们在全科医疗中进行了两个系列的单病例试验。在数据收集之前、期间和之后,必须处理结果评估、结果分析、患者退出和随访方面的困难。本文描述了这些困难并讨论了我们的解决方案。
为防止或预见单病例试验中的困难,我们认为重要的是使结果测量个体化,并仔细考虑目标、随机化类型和分析方法。建议使用患者在试验前使用的相同剂量和剂型,以导入期开始试验,制定关于治疗效果的一般和个体化决策规则,在试验后立即调整治疗策略,如果治疗调整则提供充分的指导和支持。
由于单病例试验的特殊性质,很难为设计单病例试验制定通用的“如何进行”指南。然而,当每个单病例试验的设计根据每个个体患者的具体特征和潜在医疗问题进行调整时,单病例试验中的大多数困难都可以预防或克服。通过这种方式,单病例试验在为个体患者决定药物治疗时可能会有所帮助。