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理解和交流生存治疗效果的衡量指标:我们能否做得更好?

Understanding and Communicating Measures of Treatment Effect on Survival: Can We Do Better?

机构信息

International Drug Development Institute (IDDI), Louvain-la-Neuve, Belgium.

School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.

出版信息

J Natl Cancer Inst. 2018 Mar 1;110(3):232-240. doi: 10.1093/jnci/djx179.

Abstract

Time-to-event end points are the most frequent primary end points in phase III oncology trials, both in the adjuvant and advanced settings. The evaluation of these end points is important to inform clinical practice. However, although different measures can be used to describe the effect of treatment on these end points, we believe that any treatment benefit in a given trial is best reported using various absolute and relative measures. Our goal is to help clinicians understand the strengths and limitations of the traditional and novel measures used to denote the effect of treatment in randomized trials. Although none of these measures can reliably predict the outcome of individual patients, some measures could be added to the commonly used hazard ratio to provide a more patient-oriented assessment of treatment benefit. In particular, the difference of mean survival times quantifies the average survival benefit for a patient receiving a new treatment compared with a patient treated with standard of care, whereas the net benefit quantifies the probability of a patient receiving the new treatment to live longer by at least m months (for any number of months m of interest) than a patient receiving the standard treatment. We encourage statisticians and clinical scientists to include various measures of treatment benefit in the reports of phase III trials, acknowledging that different clinical situations may call for different measures of treatment effect. By using the various available measures, we may better inform ourselves and communicate results to our patients.

摘要

时间事件终点是 III 期肿瘤学临床试验中最常见的主要终点,无论是辅助治疗还是晚期治疗。评估这些终点对于告知临床实践非常重要。然而,尽管可以使用不同的措施来描述治疗对这些终点的影响,但我们认为,在给定的试验中,任何治疗益处最好使用各种绝对和相对措施来报告。我们的目标是帮助临床医生了解传统和新型措施在随机试验中表示治疗效果的优缺点。尽管这些措施都不能可靠地预测个别患者的结局,但一些措施可以添加到常用的风险比中,以提供更针对患者的治疗益处评估。特别是,平均生存时间差异量化了接受新治疗的患者与接受标准治疗的患者相比的平均生存获益,而净获益则量化了患者接受新治疗的概率,至少比接受标准治疗的患者多活 m 个月(对于任何感兴趣的 m 个月数)。我们鼓励统计学家和临床科学家在 III 期试验报告中纳入各种治疗益处的衡量标准,同时承认不同的临床情况可能需要不同的治疗效果衡量标准。通过使用各种可用的措施,我们可以更好地了解自己,并向患者传达结果。

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