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中国省区水平肺癌死亡率估计方法研究

BACKGROUND AND OBJECTIVE: At present, population-based cancer registries were not well established and epidemiologic data for cancer were limited at the province level in China. Using the available mortality data for cancer, estimation model of lung cancer was established to provide the mortality pr...

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Formato: Online Artículo Texto
Lenguaje:English
Publicado: 中国肺癌杂志编辑部 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5999773/
https://www.ncbi.nlm.nih.gov/pubmed/21342641
http://dx.doi.org/10.3779/j.issn.1009-3419.2011.02.03
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description BACKGROUND AND OBJECTIVE: At present, population-based cancer registries were not well established and epidemiologic data for cancer were limited at the province level in China. Using the available mortality data for cancer, estimation model of lung cancer was established to provide the mortality profile for the population in 31 provincial regions in China in 2008. METHODS: Based on the population coverage and accuracy of the available mortality for provinces, the methods used to produce mortality estimates fall into 1 of the 3 categories: data were used directly; a model was developed to calculate annual change of mortality rate based on historical and current data; relative frequency data combining with mortality for all sites were used to estimate site-specific mortality. RESULTS: The total estimated deaths of lung cancer in 2008 were 493, 348 (338, 346 in males and 155, 002 in females) in the whole country. The age-standardized rates were highest in Jilin (52.29 per 100, 000 in males and 24.68 per 100, 000 in females), and the lowest rates were in Tianjin (24.12 per 100, 000 in males) and Chongqing (8.72 per 100, 000 in females). CONCLUSION: The models for lung cancer mortality at the province level have been established and the data will provide valuable scientific reference for describing the epidemic of lung cancer as well as estimating other site-specific cancer mortality in China.
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spelling pubmed-59997732018-07-06 中国省区水平肺癌死亡率估计方法研究 Zhongguo Fei Ai Za Zhi 临床研究 BACKGROUND AND OBJECTIVE: At present, population-based cancer registries were not well established and epidemiologic data for cancer were limited at the province level in China. Using the available mortality data for cancer, estimation model of lung cancer was established to provide the mortality profile for the population in 31 provincial regions in China in 2008. METHODS: Based on the population coverage and accuracy of the available mortality for provinces, the methods used to produce mortality estimates fall into 1 of the 3 categories: data were used directly; a model was developed to calculate annual change of mortality rate based on historical and current data; relative frequency data combining with mortality for all sites were used to estimate site-specific mortality. RESULTS: The total estimated deaths of lung cancer in 2008 were 493, 348 (338, 346 in males and 155, 002 in females) in the whole country. The age-standardized rates were highest in Jilin (52.29 per 100, 000 in males and 24.68 per 100, 000 in females), and the lowest rates were in Tianjin (24.12 per 100, 000 in males) and Chongqing (8.72 per 100, 000 in females). CONCLUSION: The models for lung cancer mortality at the province level have been established and the data will provide valuable scientific reference for describing the epidemic of lung cancer as well as estimating other site-specific cancer mortality in China. 中国肺癌杂志编辑部 2011-02-20 /pmc/articles/PMC5999773/ /pubmed/21342641 http://dx.doi.org/10.3779/j.issn.1009-3419.2011.02.03 Text en 版权所有©《中国肺癌杂志》编辑部2011 https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 3.0) License. See: https://creativecommons.org/licenses/by/3.0/
spellingShingle 临床研究
中国省区水平肺癌死亡率估计方法研究
title 中国省区水平肺癌死亡率估计方法研究
title_full 中国省区水平肺癌死亡率估计方法研究
title_fullStr 中国省区水平肺癌死亡率估计方法研究
title_full_unstemmed 中国省区水平肺癌死亡率估计方法研究
title_short 中国省区水平肺癌死亡率估计方法研究
title_sort 中国省区水平肺癌死亡率估计方法研究
topic 临床研究
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5999773/
https://www.ncbi.nlm.nih.gov/pubmed/21342641
http://dx.doi.org/10.3779/j.issn.1009-3419.2011.02.03
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