Global and regional estimates of cancer mortality and incidence by site: I. Application of regional cancer survival model to estimate cancer mortality distribution by site.
Global and regional estimates of cancer mortality and incidence by site: I. Application of regional cancer survival model to estimate cancer mortality distribution by site.
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DOI：
10.1186/1471-2407-2-36
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发表时间：
2002-12-26
期刊：
影响因子：
3.8
通讯作者：
Murray CJ
中科院分区：
文献类型：
--
作者：
Mathers CD;Shibuya K;Boschi-Pinto C;Lopez AD;Murray CJ
《2000年全球疾病负担》（GBD 2000）研究从对总体死亡率包线的分析开始，以确保按年龄和性别分列的针对具体原因的估计数与所有原因的总死亡率相加。对于无法获得癌症死亡分布信息的地区，开发了一种特定地点生存模型，以估计按地点分列的癌症死亡分布。基于监测、流行病学和最终结果（SEER）的数据，建立了癌症生存的年龄-时期队列模型。根据各地区经济发展水平进一步调整了模型。结合现有的发病率数据，估计了癌症死亡分布，并根据美国以外地区的生命登记数据验证了模型估计。与生命登记的癌症死亡率分布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的估计相一致的癌症死亡率分布。不同地区的相对间隔生存率存在显著差异，尤其是膀胱癌、乳腺癌、皮肤黑色素瘤、前列腺癌和血液恶性肿瘤。在结肠癌、直肠癌和子宫癌中观察到中等程度的变化。预后非常差的癌症，如肝癌、肺癌和胰腺癌，在各个地区的差异非常小。这里提出的生存模型提供了一种计算死亡率数据稀缺或不可用地区死亡分布的新方法。
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.
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影响因子：
14.5
作者：
Parkin, DM
通讯作者：
Parkin, DM
影响因子：
13.6
作者：
Martin, AA;Galan, YH;Lezcano, M
通讯作者：
Lezcano, M
按地点划分的全球和区域癌症死亡率和发病率估计：II。 2000 年全球疾病负担的结果。
影响因子：
3.8
作者：
Shibuya, K;Mathers, CD;Boschi-Pinto, C;Lopez, AD;Murray, CJL
通讯作者：
Murray, CJL
影响因子：
8.8
作者：
Bah, E;Hall, A J;Inskip, H M
通讯作者：
Inskip, H M
约翰内斯堡和南非索韦托黑人人口中人类免疫缺陷病毒1型感染与癌症之间的关联。
影响因子：
8.8
作者：
Sitas, F;Bezwoda, W R;Levin, V;Ruff, P;Kew, M C;Hale, M J;Carrara, H;Beral, V;Fleming, G;Odes, R;Weaving, A
通讯作者：
Weaving, A