Genentech, South San Francisco, CA, USA.
J Clin Oncol. 2010 Dec 1;28(34):5046-53. doi: 10.1200/JCO.2010.29.6608. Epub 2010 Oct 4.
Although much is known about the safety of an anticancer agent at the time of initial marketing approval, sponsors customarily collect comprehensive safety data for studies that support supplemental indications. This adds significant cost and complexity to the study but may not provide useful new information. The main purpose of this analysis was to assess the amount of safety and concomitant medication data collected to determine a more optimal approach in the collection of these data when used in support of supplemental applications.
Following a prospectively developed statistical analysis plan, we reanalyzed safety data from eight previously completed prospective randomized trials.
A total of 107,884 adverse events and 136,608 concomitant medication records were reviewed for the analysis. Of these, four grade 1 to 2 and nine grade 3 and higher events were identified as drug effects that were not included in the previously established safety profiles and could potentially have been missed using subsampling. These events were frequently detected in subsamples of 400 patients or larger. Furthermore, none of the concomitant medication records contributed to labeling changes for the supplemental indications.
Our study found that applying the optimized methodologic approach, described herein, has a high probability of detecting new drug safety signals. Focusing data collection on signals that cause physicians to modify or discontinue treatment ensures that safety issues of the highest concern for patients and regulators are captured and has significant potential to relieve strain on the clinical trials system.
尽管在最初获得市场批准时,人们已经对抗癌药物的安全性有了很多了解,但申办方通常会为支持补充适应症的研究收集全面的安全性数据。这会增加研究的成本和复杂性,但可能不会提供有用的新信息。本分析的主要目的是评估为确定更优化的方法收集安全性和伴随用药数据的数量,以便在支持补充申请时收集这些数据。
按照预先制定的统计分析计划,我们重新分析了八项已完成的前瞻性随机试验的安全性数据。
共审查了 107884 例不良事件和 136608 例伴随用药记录。其中,有 4 例 1 至 2 级和 9 例 3 级及以上的事件被确定为药物作用,这些作用未包含在先前建立的安全性特征中,使用抽样可能会被遗漏。这些事件在 400 例或更大的样本中经常被检测到。此外,没有任何伴随用药记录有助于补充适应症的标签更改。
我们的研究发现,应用本文所述的优化方法学方法,有很大的可能性检测到新的药物安全性信号。将数据收集重点放在导致医生修改或停止治疗的信号上,可以确保捕获对患者和监管机构最关注的安全性问题,并具有显著减轻临床试验系统压力的潜力。