Samir Soneji and Harold C. Sox, Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth, Hanover; Samir Soneji, Norris Cotton Cancer Center, Lebanon, NH; and Hiram Beltrán-Sánchez, Center for Population and Development Studies, Harvard University, Cambridge, MA.
J Clin Oncol. 2014 Feb 10;32(5):444-8. doi: 10.1200/JCO.2013.50.8952. Epub 2014 Jan 13.
Measuring the effect of cancer interventions must take into account rising cancer incidence now that people live longer because of declines in mortality from cardiovascular disease (CVD). Cancer mortality rates in the population do not accomplish this objective. We sought a measure that would reveal the effects of changing mortality rates from other diseases.
We obtained annual breast, colorectal, lung, and prostate cancer mortality rates from the Surveillance, Epidemiology, and End Results registries; we obtained noncancer mortality rates from national death certificates, 1975 to 2005. We used life-table methods to calculate the burden of cancer mortality as the average person-years of life lost (PYLL) as a result of cancer (cancer-specific PYLL) and quantify individual-and perhaps offsetting-contributions of the two factors that affect cancer-specific PYLL: mortality rates as a result of cancer and other-cause mortality.
Falling cancer mortality rates reduced the burden of mortality from leading cancers, but increasing cancer incidence as a result of decreasing other-cause mortality rates partially offset this progress. Between 1985 and 1989 and between 2000 and 2004, the burden of lung cancer in males declined by 0.1 year of life lost. This decline reflects the sum of two effects: decreasing lung cancer mortality rates that reduced the average burden of lung cancer mortality by 0.33 years of life lost and declining other-cause mortality rates that raised it by 0.23 years. Other common cancers showed similar patterns.
By using a measure that accounts for increased cancer incidence as a result of improvements in CVD mortality, we find that prior assessments have underestimated the impact of cancer interventions.
由于心血管疾病(CVD)死亡率的下降,人们的寿命延长,导致癌症发病率上升,因此衡量癌症干预措施的效果必须考虑到这一点。人群中的癌症死亡率并不能实现这一目标。我们寻求一种能够揭示其他疾病死亡率变化影响的衡量标准。
我们从监测、流行病学和结果注册中心获得了每年乳腺癌、结直肠癌、肺癌和前列腺癌的死亡率;我们从 1975 年至 2005 年的国家死亡证明中获得了非癌症死亡率。我们使用寿命表方法计算了由于癌症而导致的平均预期寿命损失(PYLL)(癌症特异性 PYLL),量化了影响癌症特异性 PYLL 的两个因素的个体和可能的抵消贡献:癌症死亡率和其他原因死亡率。
癌症死亡率的下降降低了主要癌症的死亡率负担,但由于其他原因死亡率的下降导致癌症发病率的增加,部分抵消了这一进展。在 1985 年至 1989 年和 2000 年至 2004 年期间,男性肺癌的死亡率负担减少了 0.1 年的生命损失。这一下降反映了两个效果的总和:降低肺癌死亡率,使肺癌死亡率的平均负担减少了 0.33 年的生命损失,以及降低其他原因死亡率,使负担增加了 0.23 年。其他常见癌症也表现出类似的模式。
通过使用一种考虑到 CVD 死亡率改善导致的癌症发病率增加的衡量标准,我们发现先前的评估低估了癌症干预措施的影响。