Rongshou Zheng1, Hongmei Zeng1, Siwei Zhang1, Tianhui Chen2, Wanqing Chen3. 1. National Office for Cancer Prevention and Control, National Cancer Center, No. 17, Pan-Jia-Yuan South Lane, Chaoyang District, Beijing 100021, China. 2. Division of Molecular Genetic Epidemiology, German Cancer Research Center, ImNeuenheimer Feld 580 (TP3), D-69120 Heidelberg, Germany; Institute of Occupational Diseases, Zhejiang Academy of Medical Sciences, Hangzhou, Zhejiang, China. 3. National Office for Cancer Prevention and Control, National Cancer Center, No. 17, Pan-Jia-Yuan South Lane, Chaoyang District, Beijing 100021, China. Electronic address: chenwq@cicams.ac.cn.
Abstract
OBJECTIVE: Little is known about the nationwide cancer prevalence in China. This paper aimed at assessing the 5-year cancer prevalence in China for 25 major cancers. MATERIALS AND METHODS: Incidence data were estimated using data from 177 cancer registries and covering 175 million populations. Survival data were from 17 cancer registries diagnosed during 2003-2005 and followed up until 31 December 2010. Standardized protocols for data collection and validation were adopted. Cancer prevalence for 25 major sites was estimated from year-specific incidence rates and survival probabilities according to standardized formula. RESULTS: The estimated 5-year prevalence for all cancers combined in 2011 in China was 7.49 million (3.68 million for men and 3.81 million for women). Cancer prevalence estimates for 5 years varied by cancer sites, ranging from 11,900 for testicular cancer to 1.02 million for women breast cancer. Those most prevalent five cancers (breast, colorectal, lung, stomach and esophageal cancers) covered 56.1% of cancer burden in China. The proportion for the 5-year prevalence was higher in urban areas compared to rural areas (666 per 100,000 versus 440 per 100,000), while cancer prevalence estimates were higher for women compared to men, with the men/women ratio of 5-year cancer prevalence reaching 0.96. CONCLUSIONS: This paper provides the first systematic analysis on 5-year cancer prevalence for 25 major cancers in China in 2011, which may serve as a baseline for assessment of the overall effectiveness of cancer health care. The huge number of cancer survivors requires resource allocation to improve health care programs and primary prevention, especially in rural areas.
OBJECTIVE: Little is known about the nationwide cancer prevalence in China. This paper aimed at assessing the 5-year cancer prevalence in China for 25 major cancers. MATERIALS AND METHODS: Incidence data were estimated using data from 177 cancer registries and covering 175 million populations. Survival data were from 17 cancer registries diagnosed during 2003-2005 and followed up until 31 December 2010. Standardized protocols for data collection and validation were adopted. Cancer prevalence for 25 major sites was estimated from year-specific incidence rates and survival probabilities according to standardized formula. RESULTS: The estimated 5-year prevalence for all cancers combined in 2011 in China was 7.49 million (3.68 million for men and 3.81 million for women). Cancer prevalence estimates for 5 years varied by cancer sites, ranging from 11,900 for testicular cancer to 1.02 million for womenbreast cancer. Those most prevalent five cancers (breast, colorectal, lung, stomach and esophageal cancers) covered 56.1% of cancer burden in China. The proportion for the 5-year prevalence was higher in urban areas compared to rural areas (666 per 100,000 versus 440 per 100,000), while cancer prevalence estimates were higher for women compared to men, with the men/women ratio of 5-year cancer prevalence reaching 0.96. CONCLUSIONS: This paper provides the first systematic analysis on 5-year cancer prevalence for 25 major cancers in China in 2011, which may serve as a baseline for assessment of the overall effectiveness of cancer health care. The huge number of cancer survivors requires resource allocation to improve health care programs and primary prevention, especially in rural areas.
Authors: Mingzhu Su; Xingxing Hua; Jialin Wang; Nengliang Yao; Deli Zhao; Weidong Liu; Yuewei Zou; Roger Anderson; Xiaojie Sun Journal: Qual Life Res Date: 2018-10-29 Impact factor: 4.147