ArticleChinese journal of cancer2017
Spatio-temporal analysis of the incidence of colorectal cancer in Guangzhou, 2010-2014.
Article in Chinese journal of cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.
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Who cites it
6 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- A systematic review of methods to estimate colorectal cancer incidence using population-based cancer registries.BMC medical research methodology · 2022Pooled it
- Statistical methods for measuring trends in colorectal cancer incidence in registries: A systematic review.Frontiers in oncology · 2022Pooled it
- Spatio-temporal mapping of breast and prostate cancers in South Iran from 2014 to 2017.BMC cancer · 2020Article
- How spatial accessibility to colonoscopy affects diagnostic adherences and adverse intestinal outcomes among the patients with positive preliminary screening findings.Cancer medicine · 2020Article
- Esculetin enhances the inhibitory effect of 5-Fluorouracil on the proliferation, migration and epithelial-mesenchymal transition of colorectal cancer.Cancer biomarkers : section A of Disease markers · 2019Article
- Geospatial approaches to cancer control and population sciences at the United States cancer centers.Cancer causes & control : CCC · 2018Review
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8 authors.
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Abstract
introductionColorectal cancer (CRC) is a common type of neoplasm. This study examined the spatio-temporal distribution of the CRC incidence in Guangzhou during 2010-2014.
methodsColorectal 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 cases.
resultsA 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 Districts. 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 Baiyun, Haizhu, Liwan, and Yuexiu Districts.
conclusionsThis 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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