Bouchard Laura C, Aaronson Neil, Gondek Kathleen, Cella David
Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL USA.
Division of Psychosocial Research & Epidemiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
Expert Rev Qual Life Cancer Care. 2018;3(2-3):35-46. doi: 10.1080/23809000.2018.1483193. Epub 2018 Jun 7.
A critical challenge in oncology is interpreting clinical trial results to inform clinical decision making. Clinical trials typically focus on overall survival (OS) and progression-free survival (PFS) as primary endpoints, which do not reflect early signs of meaningful patient benefit or harm. (CSR) can provide information about early treatment response, and studies show that CSR predicts long-term health outcomes.
CSR requires careful consideration of its measurement and interpretation to facilitate integration into clinical practice. We describe considerations for the evaluation, analysis, and interpretation of CSR in clinical trials. To illustrate the potential clinical value of CSR, we performed a retrospective analysis of a three-arm randomized cooperative-group clinical trial.
Evaluation of CSR provides a meaningful assessment of early cancer treatment effects. It can act as an early signal of disease progression and death and thus can identify which patients with stable disease will have a more favorable prognosis. Future research will include development of methods for more accurate assessment of CSR, reduction of the number of symptoms used as signals for disease progression or survival by tumor type, and statistical methods that effectively correct for missing data and informative censoring.
肿瘤学中的一项关键挑战是解读临床试验结果以指导临床决策。临床试验通常将总生存期(OS)和无进展生存期(PFS)作为主要终点,而这些终点并不能反映患者有意义的获益或伤害的早期迹象。癌症症状评分(CSR)可以提供有关早期治疗反应的信息,并且研究表明CSR可预测长期健康结局。
CSR需要对其测量和解读进行仔细考量,以便于整合到临床实践中。我们描述了在临床试验中对CSR进行评估、分析和解读的注意事项。为了说明CSR的潜在临床价值,我们对一项三臂随机合作组临床试验进行了回顾性分析。
对CSR的评估为早期癌症治疗效果提供了有意义的评估。它可以作为疾病进展和死亡的早期信号,从而可以识别哪些疾病稳定的患者预后会更好。未来的研究将包括开发更准确评估CSR的方法,根据肿瘤类型减少用作疾病进展或生存信号的症状数量,以及有效校正缺失数据和信息性删失的统计方法。