Mathers Colin D, Shibuya Kenji, Boschi-Pinto Cynthia, Lopez Alan D, Murray Christopher J L
Global Programme on Evidence for Health Policy, World Health Organization, Geneva, Switzerland.
BMC Cancer. 2002 Dec 26;2:36. doi: 10.1186/1471-2407-2-36.
The Global Burden of Disease 2000 (GBD 2000) study starts from an analysis of the overall mortality envelope in order to ensure that the cause-specific estimates add to the total all cause mortality by age and sex. For regions where information on the distribution of cancer deaths is not available, a site-specific survival model was developed to estimate the distribution of cancer deaths by site.
An age-period-cohort model of cancer survival was developed based on data from the Surveillance, Epidemiology, and End Results (SEER). The model was further adjusted for the level of economic development in each region. Combined with the available incidence data, cancer death distributions were estimated and the model estimates were validated against vital registration data from regions other than the United States.
Comparison with cancer mortality distribution from vital registration confirmed the validity of this approach. The model also yielded the cancer mortality distribution which is consistent with the estimates based on regional cancer registries. There was a significant variation in relative interval survival across regions, in particular for cancers of bladder, breast, melanoma of the skin, prostate and haematological malignancies. Moderate variations were observed among cancers of colon, rectum, and uterus. Cancers with very poor prognosis such as liver, lung, and pancreas cancers showed very small variations across the regions.
The survival model presented here offers a new approach to the calculation of the distribution of deaths for areas where mortality data are either scarce or unavailable.
《2000年全球疾病负担》(GBD 2000)研究从分析总体死亡率开始,以确保特定病因的估计数与按年龄和性别划分的全死因总死亡率相加。对于无法获得癌症死亡分布信息的地区,开发了一种特定部位生存模型来估计各部位癌症死亡的分布情况。
基于监测、流行病学和最终结果(SEER)的数据,开发了一种癌症生存的年龄-时期-队列模型。该模型根据每个地区的经济发展水平进一步进行了调整。结合现有的发病率数据,估计了癌症死亡分布,并将模型估计值与美国以外地区的生命登记数据进行了验证。
与生命登记的癌症死亡率分布进行比较,证实了该方法的有效性。该模型还得出了与基于区域癌症登记处的估计数一致的癌症死亡率分布。各地区相对区间生存率存在显著差异,特别是膀胱癌、乳腺癌、皮肤黑色素瘤、前列腺癌和血液系统恶性肿瘤。在结肠癌、直肠癌和子宫癌中观察到中度差异。预后很差的癌症,如肝癌、肺癌和胰腺癌,各地区之间的差异很小。
本文提出的生存模型为死亡率数据稀缺或无法获得的地区计算死亡分布提供了一种新方法。