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Spatio-temporal analysis of the incidence of colorectal cancer in Guangzhou, 2010–2014
INTRODUCTION: Colorectal cancer (CRC) is a common type of neoplasm. This study examined the spatio-temporal distribution of the CRC incidence in Guangzhou during 2010–2014. METHODS: Colorectal cancer incidence data were obtained from the Guangzhou Cancer Registry System. Spatial autocorrelation anal...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5534053/ https://www.ncbi.nlm.nih.gov/pubmed/28754180 http://dx.doi.org/10.1186/s40880-017-0231-6 |
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author | Li, Ke Lin, Guo-Zhen Li, Yan Dong, Hang Xu, Huan Song, Shao-Fang Liang, Ying-Ru Liu, Hua-Zhang |
author_facet | Li, Ke Lin, Guo-Zhen Li, Yan Dong, Hang Xu, Huan Song, Shao-Fang Liang, Ying-Ru Liu, Hua-Zhang |
author_sort | Li, Ke |
collection | PubMed |
description | INTRODUCTION: Colorectal cancer (CRC) is a common type of neoplasm. This study examined the spatio-temporal distribution of the CRC incidence in Guangzhou during 2010–2014. METHODS: 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 cases. RESULTS: 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 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. CONCLUSIONS: 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. |
format | Online Article Text |
id | pubmed-5534053 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-55340532017-08-03 Spatio-temporal analysis of the incidence of colorectal cancer in Guangzhou, 2010–2014 Li, Ke Lin, Guo-Zhen Li, Yan Dong, Hang Xu, Huan Song, Shao-Fang Liang, Ying-Ru Liu, Hua-Zhang Chin J Cancer Original Article INTRODUCTION: Colorectal cancer (CRC) is a common type of neoplasm. This study examined the spatio-temporal distribution of the CRC incidence in Guangzhou during 2010–2014. METHODS: 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 cases. RESULTS: 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 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. CONCLUSIONS: 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. BioMed Central 2017-07-28 /pmc/articles/PMC5534053/ /pubmed/28754180 http://dx.doi.org/10.1186/s40880-017-0231-6 Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Original Article Li, Ke Lin, Guo-Zhen Li, Yan Dong, Hang Xu, Huan Song, Shao-Fang Liang, Ying-Ru Liu, Hua-Zhang Spatio-temporal analysis of the incidence of colorectal cancer in Guangzhou, 2010–2014 |
title | Spatio-temporal analysis of the incidence of colorectal cancer in Guangzhou, 2010–2014 |
title_full | Spatio-temporal analysis of the incidence of colorectal cancer in Guangzhou, 2010–2014 |
title_fullStr | Spatio-temporal analysis of the incidence of colorectal cancer in Guangzhou, 2010–2014 |
title_full_unstemmed | Spatio-temporal analysis of the incidence of colorectal cancer in Guangzhou, 2010–2014 |
title_short | Spatio-temporal analysis of the incidence of colorectal cancer in Guangzhou, 2010–2014 |
title_sort | spatio-temporal analysis of the incidence of colorectal cancer in guangzhou, 2010–2014 |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5534053/ https://www.ncbi.nlm.nih.gov/pubmed/28754180 http://dx.doi.org/10.1186/s40880-017-0231-6 |
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