Latimer Nicholas R
Health Economics and Decision Science, School of Health and Related Research (ScHARR), University of Sheffield, Regent Court, 30 Regent Street, Sheffield, S1 4DA, UK.
Expert Rev Pharmacoecon Outcomes Res. 2015;15(4):561-4. doi: 10.1586/14737167.2015.1037835. Epub 2015 Apr 20.
Treatment switching has become an important issue in the development and approval of new drugs, particularly in oncology. Randomized controlled trials (RCTs) represent the gold standard for evaluating the effectiveness of interventions, but often patients randomized to the control group are permitted to switch onto the experimental treatment at some point during the trial. This is important, because standard statistical approaches used to analyze RCTs compare groups as randomized, based upon an intention-to-treat principle. When patients in both groups receive the new drug, such analyses do not provide an accurate estimate of the comparative effectiveness of the two treatments. This may lead to inappropriate decision-making - cost-effective drugs may not be approved. Limited healthcare finances may be used inefficiently. Health-related quality-of-life and lives may be lost.
在新药的研发与审批过程中,尤其是在肿瘤学领域,治疗方案的转换已成为一个重要问题。随机对照试验(RCTs)是评估干预措施有效性的金标准,但通常被随机分配到对照组的患者在试验期间的某个时间点被允许转而接受试验性治疗。这一点很重要,因为用于分析随机对照试验的标准统计方法是基于意向性治疗原则,将随机分组的各组进行比较。当两组患者都接受新药治疗时,此类分析无法准确估计两种治疗方法的相对有效性。这可能导致决策不当——具有成本效益的药物可能无法获批。有限的医疗保健资金可能会被低效使用。与健康相关的生活质量以及生命可能会因此丧失。