Institute for Stroke and Dementia Research, Ludwig-Maximilians-Universität München, Munich, Germany;
J Thorac Dis. 2011 Jun;3(2):88-98. doi: 10.3978/j.issn.2072-1439.2010.12.07.
Clinical trials exploring the long-term effects of first-line therapy in patients with advanced non-small-cell lung cancer generally disregard subsequent treatment although most patients receive second and third-line therapies. The choice of further therapy depends on critical intermediate events such as disease progression and it is usually left at the physician's discretion. Time-dependent confounding may then arise with standard survival analyses producing biased effect estimates, even in randomized trials. Herein we describe the concept of time-dependent confounding in detail and discuss whether the response to first-line treatment may be a potential time-dependent confounding factor for survival in the context of subsequent therapy. A prospective observational study of 406 patients with advanced non-small-cell lung cancer served as an example base. There is evidence that time-dependent confounding may occur in multivariate survival analysis after first-line therapy when disregarding subsequent treatment. In the light of this important but underestimated aspect some of the large and meaningful recent clinical first-line lung cancer studies are discussed, focussing on subsequent treatment and its potential impact on the survival of the study patients. No recently performed lung cancer trial applied adequate statistical analyses despite the frequent use of subsequent therapies. In conclusion, effect estimates from standard survival analysis may be biased even in randomized controlled trials because of time-dependent confounding. To adequately assess treatment effects on long-term outcomes appropriate statistical analyses need to take subsequent treatment into account.
临床试验通常会忽略晚期非小细胞肺癌患者一线治疗的长期影响,尽管大多数患者会接受二线和三线治疗。进一步治疗的选择取决于疾病进展等关键中间事件,通常由医生自行决定。在标准生存分析中,时间依赖性混杂可能会出现,即使在随机试验中也会产生有偏估计。本文详细描述了时间依赖性混杂的概念,并讨论了一线治疗的反应是否可能是后续治疗中生存的潜在时间依赖性混杂因素。以 406 例晚期非小细胞肺癌患者的前瞻性观察研究为基础。有证据表明,在不考虑后续治疗的情况下,一线治疗后的多变量生存分析中可能会出现时间依赖性混杂。鉴于这一重要但被低估的方面,本文讨论了一些最近的大型有意义的一线肺癌临床研究,重点关注后续治疗及其对研究患者生存的潜在影响。尽管经常使用后续治疗,但最近没有进行的肺癌试验应用了适当的统计分析。总之,由于时间依赖性混杂,即使在随机对照试验中,标准生存分析的效应估计也可能存在偏差。为了充分评估治疗对长期结局的影响,适当的统计分析需要考虑后续治疗。