Division of Medical Oncology and Hematology, Princess Margaret Hospital, Toronto, ON, Canada.
J Natl Cancer Inst. 2011 Jan 5;103(1):16-20. doi: 10.1093/jnci/djq463. Epub 2010 Dec 3.
The approval of a new drug for cancer treatment by the regulatory authorities, such as the United States Food and Drug Administration or European Medicines Agency, is usually based on the positive results of one or more randomized phase III clinical trials comparing the investigational treatment with the standard treatment. A clinical trial is presented as positive if the new drug tested on an experimental group shows a statistically significant difference with the control group (P < .05) in the primary endpoint, which is usually a time-to-event endpoint (overall survival or progression-free survival). Such apparently positive clinical trials disregard whether the final value of the difference in the primary endpoints between the experimental and control groups (δ) meets the criterion that was predefined in the protocol. Currently, the trend is to design large trials that may detect statistically significant, but often trivial, differences in survival endpoints. However, recent appeals have been made in the oncology literature for the design of smaller clinical trials to detect or exclude only larger, clinically important, values of δ. Here, we have evaluated 18 randomized phase III clinical trials that were used for the approval of molecular-targeted anticancer drugs by the United States Food and Drug Administration. Results showed that in some of the articles the magnitude of the reported values of δ were lower than the values predefined in the protocol. We suggest that trials should not be declared positive based only on a statistically significant P value, but should also require detection of a difference in survival outcome that equals or exceeds a clinically important value that is specified in the protocol.
监管机构(如美国食品和药物管理局或欧洲药品管理局)批准一种新的癌症治疗药物通常基于一项或多项比较试验性治疗与标准治疗的阳性结果的随机 III 期临床试验。如果在实验组中测试的新药在主要终点(通常是事件时间终点,总生存期或无进展生存期)与对照组相比显示出统计学上显著差异(P<.05),则临床试验被认为是阳性的。这些明显的阳性临床试验忽略了实验组和对照组之间的主要终点差异的最终值(δ)是否符合方案中预先设定的标准。目前,设计大型试验以检测生存终点中统计学上显著但通常微不足道的差异的趋势很明显。然而,最近在肿瘤学文献中呼吁设计较小的临床试验,以仅检测或排除 δ 的较大、临床重要的数值。在这里,我们评估了 18 项用于美国食品和药物管理局批准分子靶向抗癌药物的随机 III 期临床试验。结果表明,在一些文章中,报告的 δ 值的幅度低于方案中预先设定的值。我们建议,临床试验不应仅基于统计学上显著的 P 值宣布为阳性,还应要求检测生存结果的差异,该差异等于或超过方案中指定的临床重要值。