Mariotto Angela B, Noone Anne-Michelle, Howlader Nadia, Cho Hyunsoon, Keel Gretchen E, Garshell Jessica, Woloshin Steven, Schwartz Lisa M
Surveillance Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD (AM, AN, NH, HC); Division of Cancer Registration and Surveillance, National Cancer Center, Goyang-si Gyeonggi-do, Korea (HC); Information Management Services, Inc., Calverton MD (GEK, JG); Dartmouth Institute for Health Policy and Clinical Practice, Lebanon, NH, Norris Cotton Cancer Center, Dartmouth Hitchcock Medical Center, Lebanon, NH, Geisel School of Medicine at Dartmouth, Hanover, NH, Department of Veterans Affairs Medical Center, Veterans Affairs Outcomes Group, White River Junction, VT (SW, LMS).
J Natl Cancer Inst Monogr. 2014 Nov;2014(49):145-86. doi: 10.1093/jncimonographs/lgu024.
Survival statistics are of great interest to patients, clinicians, researchers, and policy makers. Although seemingly simple, survival can be confusing: there are many different survival measures with a plethora of names and statistical methods developed to answer different questions. This paper aims to describe and disseminate different survival measures and their interpretation in less technical language. In addition, we introduce templates to summarize cancer survival statistic organized by their specific purpose: research and policy versus prognosis and clinical decision making.
生存统计数据对于患者、临床医生、研究人员和政策制定者来说都极具意义。尽管生存情况看似简单,但实则可能令人困惑:存在许多不同的生存指标,有着大量的名称以及为回答不同问题而开发的统计方法。本文旨在用较为通俗易懂的语言描述并传播不同的生存指标及其解读。此外,我们还引入了模板,以便根据其特定目的总结癌症生存统计数据:研究与政策目的以及预后与临床决策目的。