Cancer Research Centre, Cancer Council Queensland, Brisbane, Australia.
Cancer Research Centre, Cancer Council Queensland, Brisbane, Australia; School of Public Health and Social Work, Queensland University of Technology, Kelvin Grove, Brisbane QLD 4059, Australia.
Cancer Epidemiol. 2019 Oct;62:101568. doi: 10.1016/j.canep.2019.101568. Epub 2019 Jul 19.
While net probabilities of death in the relative survival framework ignore competing causes of death, crude probabilities allow estimation of the real risk of cancer deaths. This study quantifies temporal trends in net and crude probabilities of death.
Australian population-based cohort of 2,015,903 people aged 15-89 years, diagnosed with a single primary invasive cancer from 1984 to 2013 with mortality follow-up to 31 December 2014. Survival was analyzed with the cohort method. Flexible parametric relative survival models were used to estimate both probability measures by diagnosis year for all cancers and selected leading sites.
For each site, excess mortality rates reduced over time, especially for prostate cancer. While both the 10-year net and crude probability of cancer deaths decreased over time, specific patterns varied. For example, the crude probability of lung cancer deaths for males aged 50 years decreased from 0.90 (1984) to 0.79 (2013); whereas the corresponding probabilities for kidney cancer were 0.64 and 0.18 respectively. Patterns for crude probabilities of competing deaths were relatively constant. Although for younger patients, both net and crude measures were similar, crude probability of competing deaths increased with age, hence for older ages net and crude measures were different except for lung and pancreas cancers.
The observed reductions in probabilities of death over three decades for Australian cancer patients are encouraging. However, this study also highlights the ongoing mortality burden following a cancer diagnosis, and the need for continuing efforts to improve cancer prevention, diagnosis and treatment.
虽然相对生存率框架中的净死亡率忽略了其他死因,但粗死亡率可以估计癌症死亡的实际风险。本研究量化了净死亡率和粗死亡率的时间趋势。
这是一项基于澳大利亚人群的队列研究,纳入了 2015903 名年龄在 15-89 岁之间的人群,他们在 1984 年至 2013 年期间被诊断为单一原发性浸润性癌症,随访至 2014 年 12 月 31 日。使用队列方法进行生存分析。采用灵活参数相对生存率模型,按诊断年份估计所有癌症和选定主要部位的两种概率测度。
对于每个部位,超额死亡率随时间推移而降低,尤其是前列腺癌。虽然癌症死亡的 10 年净死亡率和粗死亡率随时间推移而降低,但具体模式有所不同。例如,50 岁男性肺癌的粗死亡率从 1984 年的 0.90 降至 2013 年的 0.79;而相应的肾癌死亡率分别为 0.64 和 0.18。竞争死亡的粗死亡率模式相对稳定。尽管对于年轻患者,净死亡率和粗死亡率相似,但随着年龄的增长,竞争死亡的粗死亡率增加,因此除了肺癌和胰腺癌,老年患者的净死亡率和粗死亡率不同。
澳大利亚癌症患者在过去三十年中观察到的死亡率降低令人鼓舞。然而,本研究还强调了癌症诊断后持续存在的死亡负担,以及需要继续努力改善癌症预防、诊断和治疗。