Cancer survival in China, 2003–2005: A population‐based study

Limited population‐based cancer registry data available in China until now has hampered efforts to inform cancer control policy. Following extensive efforts to improve the systematic cancer surveillance in this country, we report on the largest pooled analysis of cancer survival data in China to dat...

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Veröffentlicht in:International journal of cancer 2015-04, Vol.136 (8), p.1921-1930
Hauptverfasser: Zeng, Hongmei, Zheng, Rongshou, Guo, Yuming, Zhang, Siwei, Zou, Xiaonong, Wang, Ning, Zhang, Limei, Tang, Jingao, Chen, Jianguo, Wei, Kuangrong, Huang, Suqin, Wang, Jian, Yu, Liang, Zhao, Deli, Song, Guohui, Chen, Jianshun, Shen, Yongzhou, Yang, Xiaoping, Gu, Xiaoping, Jin, Feng, Li, Qilong, Li, Yanhua, Ge, Hengming, Zhu, Fengdong, Dong, Jianmei, Guo, Guoping, Wu, Ming, Du, Lingbin, Sun, Xibin, He, Yutong, Coleman, Michel P, Baade, Peter, Chen, Wanqing, Yu, Xue Qin
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container_end_page 1930
container_issue 8
container_start_page 1921
container_title International journal of cancer
container_volume 136
creator Zeng, Hongmei
Zheng, Rongshou
Guo, Yuming
Zhang, Siwei
Zou, Xiaonong
Wang, Ning
Zhang, Limei
Tang, Jingao
Chen, Jianguo
Wei, Kuangrong
Huang, Suqin
Wang, Jian
Yu, Liang
Zhao, Deli
Song, Guohui
Chen, Jianshun
Shen, Yongzhou
Yang, Xiaoping
Gu, Xiaoping
Jin, Feng
Li, Qilong
Li, Yanhua
Ge, Hengming
Zhu, Fengdong
Dong, Jianmei
Guo, Guoping
Wu, Ming
Du, Lingbin
Sun, Xibin
He, Yutong
Coleman, Michel P
Baade, Peter
Chen, Wanqing
Yu, Xue Qin
description Limited population‐based cancer registry data available in China until now has hampered efforts to inform cancer control policy. Following extensive efforts to improve the systematic cancer surveillance in this country, we report on the largest pooled analysis of cancer survival data in China to date. Of 21 population‐based cancer registries, data from 17 registries (n = 138,852 cancer records) were included in the final analysis. Cases were diagnosed in 2003–2005 and followed until the end of 2010. Age‐standardized relative survival was calculated using region‐specific life tables for all cancers combined and 26 individual cancers. Estimates were further stratified by sex and geographical area. The age‐standardized 5‐year relative survival for all cancers was 30.9% (95% confidence intervals: 30.6%‐31.2%). Female breast cancer had high survival (73.0%) followed by cancers of the colorectum (47.2%), stomach (27.4%), esophagus (20.9%), with lung and liver cancer having poor survival (16.1% and 10.1%), respectively. Survival for women was generally higher than for men. Survival for rural patients was about half that of their urban counterparts for all cancers combined (21.8% vs. 39.5%); the pattern was similar for individual major cancers except esophageal cancer. The poor population survival rates in China emphasize the urgent need for government policy changes and investment to improve health services. While the causes for the striking urban‐rural disparities observed are not fully understood, increasing access of health service in rural areas and providing basic health‐care to the disadvantaged populations will be essential for reducing this disparity in the future. What's new? Because it's difficult to create good public‐health policies without good population data, China has recently made efforts to improve its systematic recording of cancer data. This paper reports the largest pooled analysis of survival data in China, the first to include data from a wide range of geographical areas. They report the various survival rates for different cancers by age, gender, and locality. The most striking finding was that those living in rural residents had far lower survival rates than urban residents. This finding may prompt efforts to improve availability of cancer prevention and treatment in rural areas of China.
doi_str_mv 10.1002/ijc.29227
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Following extensive efforts to improve the systematic cancer surveillance in this country, we report on the largest pooled analysis of cancer survival data in China to date. Of 21 population‐based cancer registries, data from 17 registries (n = 138,852 cancer records) were included in the final analysis. Cases were diagnosed in 2003–2005 and followed until the end of 2010. Age‐standardized relative survival was calculated using region‐specific life tables for all cancers combined and 26 individual cancers. Estimates were further stratified by sex and geographical area. The age‐standardized 5‐year relative survival for all cancers was 30.9% (95% confidence intervals: 30.6%‐31.2%). Female breast cancer had high survival (73.0%) followed by cancers of the colorectum (47.2%), stomach (27.4%), esophagus (20.9%), with lung and liver cancer having poor survival (16.1% and 10.1%), respectively. Survival for women was generally higher than for men. Survival for rural patients was about half that of their urban counterparts for all cancers combined (21.8% vs. 39.5%); the pattern was similar for individual major cancers except esophageal cancer. The poor population survival rates in China emphasize the urgent need for government policy changes and investment to improve health services. While the causes for the striking urban‐rural disparities observed are not fully understood, increasing access of health service in rural areas and providing basic health‐care to the disadvantaged populations will be essential for reducing this disparity in the future. What's new? Because it's difficult to create good public‐health policies without good population data, China has recently made efforts to improve its systematic recording of cancer data. This paper reports the largest pooled analysis of survival data in China, the first to include data from a wide range of geographical areas. 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Following extensive efforts to improve the systematic cancer surveillance in this country, we report on the largest pooled analysis of cancer survival data in China to date. Of 21 population‐based cancer registries, data from 17 registries (n = 138,852 cancer records) were included in the final analysis. Cases were diagnosed in 2003–2005 and followed until the end of 2010. Age‐standardized relative survival was calculated using region‐specific life tables for all cancers combined and 26 individual cancers. Estimates were further stratified by sex and geographical area. The age‐standardized 5‐year relative survival for all cancers was 30.9% (95% confidence intervals: 30.6%‐31.2%). Female breast cancer had high survival (73.0%) followed by cancers of the colorectum (47.2%), stomach (27.4%), esophagus (20.9%), with lung and liver cancer having poor survival (16.1% and 10.1%), respectively. Survival for women was generally higher than for men. Survival for rural patients was about half that of their urban counterparts for all cancers combined (21.8% vs. 39.5%); the pattern was similar for individual major cancers except esophageal cancer. The poor population survival rates in China emphasize the urgent need for government policy changes and investment to improve health services. While the causes for the striking urban‐rural disparities observed are not fully understood, increasing access of health service in rural areas and providing basic health‐care to the disadvantaged populations will be essential for reducing this disparity in the future. What's new? Because it's difficult to create good public‐health policies without good population data, China has recently made efforts to improve its systematic recording of cancer data. This paper reports the largest pooled analysis of survival data in China, the first to include data from a wide range of geographical areas. 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This finding may prompt efforts to improve availability of cancer prevention and treatment in rural areas of China.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Age Distribution</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Breast cancer</subject><subject>Cancer</subject><subject>cancer registry</subject><subject>Child</subject><subject>Child, Preschool</subject><subject>China</subject><subject>China - epidemiology</subject><subject>Confidence intervals</subject><subject>Female</subject><subject>geographical disparity</subject><subject>Humans</subject><subject>Incidence</subject><subject>Infant</subject><subject>Infant, Newborn</subject><subject>Male</subject><subject>Medical research</subject><subject>Middle Aged</subject><subject>Neoplasms - epidemiology</subject><subject>Population</subject><subject>population‐based study</subject><subject>Registries</subject><subject>relative survival</subject><subject>Rural areas</subject><subject>Survival Rate</subject><subject>Young Adult</subject><issn>0020-7136</issn><issn>1097-0215</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpdkMtKw0AUhgdRbK0ufAEJuHFh2nMmc0ncleClUnCj62E6mWBCmsRMU-mujyD4hn0S04suXP0__B-Hw0fIJcIQAegoy82QRpTKI9JHiKQPFPkx6Xcb-BID0SNnzuUAiBzYKelRThkNZNgn41iXxjaea5tlttSFl5Ve_J6V-tajAMFm_d0Fv_PGXl3VbaEXWVVu1l8z7WziuUWbrM7JSaoLZy8OOSBvD_ev8ZM_fXmcxOOpnzMO0kdjmKUGQowwSblABI0zsJJLSFhoU5GyxPAA0II0yMCINNVJV4QUEbPBgNzs79ZN9dFat1DzzBlbFLq0VesUCs5EFIqQduj1PzSv2qbsvttSNMAwisKOujpQ7WxuE1U32Vw3K_UrpwNGe-AzK-zqb0dQW-uqs6521tXkOd6V4AdGLnGA</recordid><startdate>20150415</startdate><enddate>20150415</enddate><creator>Zeng, Hongmei</creator><creator>Zheng, Rongshou</creator><creator>Guo, Yuming</creator><creator>Zhang, Siwei</creator><creator>Zou, Xiaonong</creator><creator>Wang, Ning</creator><creator>Zhang, Limei</creator><creator>Tang, Jingao</creator><creator>Chen, Jianguo</creator><creator>Wei, Kuangrong</creator><creator>Huang, Suqin</creator><creator>Wang, Jian</creator><creator>Yu, Liang</creator><creator>Zhao, Deli</creator><creator>Song, Guohui</creator><creator>Chen, Jianshun</creator><creator>Shen, Yongzhou</creator><creator>Yang, Xiaoping</creator><creator>Gu, Xiaoping</creator><creator>Jin, Feng</creator><creator>Li, Qilong</creator><creator>Li, Yanhua</creator><creator>Ge, Hengming</creator><creator>Zhu, Fengdong</creator><creator>Dong, Jianmei</creator><creator>Guo, Guoping</creator><creator>Wu, Ming</creator><creator>Du, Lingbin</creator><creator>Sun, Xibin</creator><creator>He, Yutong</creator><creator>Coleman, Michel P</creator><creator>Baade, Peter</creator><creator>Chen, Wanqing</creator><creator>Yu, Xue Qin</creator><general>Wiley Subscription Services, Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>7T5</scope><scope>7TO</scope><scope>7U9</scope><scope>H94</scope><scope>K9.</scope><scope>7X8</scope></search><sort><creationdate>20150415</creationdate><title>Cancer survival in China, 2003–2005: A population‐based study</title><author>Zeng, Hongmei ; Zheng, Rongshou ; Guo, Yuming ; Zhang, Siwei ; Zou, Xiaonong ; Wang, Ning ; Zhang, Limei ; Tang, Jingao ; Chen, Jianguo ; Wei, Kuangrong ; Huang, Suqin ; Wang, Jian ; Yu, Liang ; Zhao, Deli ; Song, Guohui ; Chen, Jianshun ; Shen, Yongzhou ; Yang, Xiaoping ; Gu, Xiaoping ; Jin, Feng ; Li, Qilong ; Li, Yanhua ; Ge, Hengming ; Zhu, Fengdong ; Dong, Jianmei ; Guo, Guoping ; Wu, Ming ; Du, Lingbin ; Sun, Xibin ; He, Yutong ; Coleman, Michel P ; Baade, Peter ; Chen, Wanqing ; Yu, Xue Qin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-j4507-1cc4e2c08191df56110a1b0e7570d48ef6f4dc5301e07c140c6ffad14067694e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Age Distribution</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Breast cancer</topic><topic>Cancer</topic><topic>cancer registry</topic><topic>Child</topic><topic>Child, Preschool</topic><topic>China</topic><topic>China - epidemiology</topic><topic>Confidence intervals</topic><topic>Female</topic><topic>geographical disparity</topic><topic>Humans</topic><topic>Incidence</topic><topic>Infant</topic><topic>Infant, Newborn</topic><topic>Male</topic><topic>Medical research</topic><topic>Middle Aged</topic><topic>Neoplasms - epidemiology</topic><topic>Population</topic><topic>population‐based study</topic><topic>Registries</topic><topic>relative survival</topic><topic>Rural areas</topic><topic>Survival Rate</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zeng, Hongmei</creatorcontrib><creatorcontrib>Zheng, Rongshou</creatorcontrib><creatorcontrib>Guo, Yuming</creatorcontrib><creatorcontrib>Zhang, Siwei</creatorcontrib><creatorcontrib>Zou, Xiaonong</creatorcontrib><creatorcontrib>Wang, Ning</creatorcontrib><creatorcontrib>Zhang, Limei</creatorcontrib><creatorcontrib>Tang, Jingao</creatorcontrib><creatorcontrib>Chen, Jianguo</creatorcontrib><creatorcontrib>Wei, Kuangrong</creatorcontrib><creatorcontrib>Huang, Suqin</creatorcontrib><creatorcontrib>Wang, Jian</creatorcontrib><creatorcontrib>Yu, Liang</creatorcontrib><creatorcontrib>Zhao, Deli</creatorcontrib><creatorcontrib>Song, Guohui</creatorcontrib><creatorcontrib>Chen, Jianshun</creatorcontrib><creatorcontrib>Shen, Yongzhou</creatorcontrib><creatorcontrib>Yang, Xiaoping</creatorcontrib><creatorcontrib>Gu, Xiaoping</creatorcontrib><creatorcontrib>Jin, Feng</creatorcontrib><creatorcontrib>Li, Qilong</creatorcontrib><creatorcontrib>Li, Yanhua</creatorcontrib><creatorcontrib>Ge, Hengming</creatorcontrib><creatorcontrib>Zhu, Fengdong</creatorcontrib><creatorcontrib>Dong, Jianmei</creatorcontrib><creatorcontrib>Guo, Guoping</creatorcontrib><creatorcontrib>Wu, Ming</creatorcontrib><creatorcontrib>Du, Lingbin</creatorcontrib><creatorcontrib>Sun, Xibin</creatorcontrib><creatorcontrib>He, Yutong</creatorcontrib><creatorcontrib>Coleman, Michel P</creatorcontrib><creatorcontrib>Baade, Peter</creatorcontrib><creatorcontrib>Chen, Wanqing</creatorcontrib><creatorcontrib>Yu, Xue Qin</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>Immunology Abstracts</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health &amp; 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Following extensive efforts to improve the systematic cancer surveillance in this country, we report on the largest pooled analysis of cancer survival data in China to date. Of 21 population‐based cancer registries, data from 17 registries (n = 138,852 cancer records) were included in the final analysis. Cases were diagnosed in 2003–2005 and followed until the end of 2010. Age‐standardized relative survival was calculated using region‐specific life tables for all cancers combined and 26 individual cancers. Estimates were further stratified by sex and geographical area. The age‐standardized 5‐year relative survival for all cancers was 30.9% (95% confidence intervals: 30.6%‐31.2%). Female breast cancer had high survival (73.0%) followed by cancers of the colorectum (47.2%), stomach (27.4%), esophagus (20.9%), with lung and liver cancer having poor survival (16.1% and 10.1%), respectively. Survival for women was generally higher than for men. Survival for rural patients was about half that of their urban counterparts for all cancers combined (21.8% vs. 39.5%); the pattern was similar for individual major cancers except esophageal cancer. The poor population survival rates in China emphasize the urgent need for government policy changes and investment to improve health services. While the causes for the striking urban‐rural disparities observed are not fully understood, increasing access of health service in rural areas and providing basic health‐care to the disadvantaged populations will be essential for reducing this disparity in the future. What's new? Because it's difficult to create good public‐health policies without good population data, China has recently made efforts to improve its systematic recording of cancer data. This paper reports the largest pooled analysis of survival data in China, the first to include data from a wide range of geographical areas. They report the various survival rates for different cancers by age, gender, and locality. The most striking finding was that those living in rural residents had far lower survival rates than urban residents. This finding may prompt efforts to improve availability of cancer prevention and treatment in rural areas of China.</abstract><cop>United States</cop><pub>Wiley Subscription Services, Inc</pub><pmid>25242378</pmid><doi>10.1002/ijc.29227</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record>
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subjects Adolescent
Adult
Age Distribution
Aged
Aged, 80 and over
Breast cancer
Cancer
cancer registry
Child
Child, Preschool
China
China - epidemiology
Confidence intervals
Female
geographical disparity
Humans
Incidence
Infant
Infant, Newborn
Male
Medical research
Middle Aged
Neoplasms - epidemiology
Population
population‐based study
Registries
relative survival
Rural areas
Survival Rate
Young Adult
title Cancer survival in China, 2003–2005: A population‐based study
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