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Spatio-temporal analysis of the incidence of colorectal cancer in Guangzhou,2010-2014

Spatio-temporal analysis of the incidence of colorectal cancer in Guangzhou,2010–2014

作     者:Ke Li Guo-Zhen Lin Yan Li Hang Dong Huan Xu Shao-Fang Song Ying-Ru Liang Hua-Zhang Liu 

作者机构:Department of Biostatistics and Cancer RegistrationGuangzhou Center for Disease Control and PreventionGuangzhou 510440GuangdongP.R.China 

出 版 物:《Chinese Journal of Cancer》 (Chinese Journal of Cancer)

年 卷 期:2017年第36卷第10期

页      面:516-523页

核心收录:

学科分类:1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学] 

主  题:Colorectal cancer Spatial analysis Spatial autocorrelation Spatio-temporal clustering 

摘      要:Introduction: Colorectal cancer(CRC) is a common type of neoplasm. This study examined the spatio?temporal distribution of the CRC incidence in Guangzhou during 2010–***: Colorectal cancer incidence data were obtained from the Guangzhou Cancer Registry System. Spatial autocorrelation analysis and a retrospective spatio?temporal scan were used to assess the spatio?temporal cluster distribution of CRC ***: A total of 14,618 CRC cases were registered in Guangzhou during 2010–2014, with a crude incidence of 35.56/100,000 and an age?standardized rate of incidence by the world standard population(ASRIW) of 23.58/100,000. The crude incidence increased by 19.70% from 2010(32.88/100,000) to 2014(39.36/100,000) with an average annual percentage change(AAPC) of 4.33%. The AAPC of ASRIW was not statistically significant. The spatial autocorrelation analysis revealed a CRC incidence hot spot in central urban areas in Guangzhou City, which included 25 streets in southwestern Baiyun District, northwestern Haizhu District, and the border region between Liwan and Yuexiu Dis?tricts. Three high? and five low?incidence clusters were identified according to spatio?temporal scan of CRC incidence clusters. The high?incidence clusters were located in central urban areas including the border regions between Bai?yun, Haizhu, Liwan, and Yuexiu ***: This study revealed the spatio?temporal cluster pattern of the incidence of CRC in Guangzhou. This information can inform allocation of health resources for CRC screening.

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