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Spatial Analysis of Esophageal Cancer Mortality in a High-risk Population in China: Consistent Clustering Pattern in 1970-74 and 2011-13

PURPOSE: Almost half of the global esophageal cancer (EC) deaths occurred in China. This study aims to examine the geographic spread of EC mortality in two periods in a large Chinese population. METHODS: Age-standardized mortality rates (ASMRs) for 140 county-level units in Shandong Province during...

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Autores principales: Kou, Kou, Guo, Xiaolei, Baade, Peter, Lu, Zilong, Fu, Zhentao, Chu, Jie, Xu, Aiqiang, Sun, Jiandong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: West Asia Organization for Cancer Prevention 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6318413/
https://www.ncbi.nlm.nih.gov/pubmed/30486604
http://dx.doi.org/10.31557/APJCP.2018.19.11.3161
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author Kou, Kou
Guo, Xiaolei
Baade, Peter
Lu, Zilong
Fu, Zhentao
Chu, Jie
Xu, Aiqiang
Sun, Jiandong
author_facet Kou, Kou
Guo, Xiaolei
Baade, Peter
Lu, Zilong
Fu, Zhentao
Chu, Jie
Xu, Aiqiang
Sun, Jiandong
author_sort Kou, Kou
collection PubMed
description PURPOSE: Almost half of the global esophageal cancer (EC) deaths occurred in China. This study aims to examine the geographic spread of EC mortality in two periods in a large Chinese population. METHODS: Age-standardized mortality rates (ASMRs) for 140 county-level units in Shandong Province during the periods 1970-74 and 2011-13 were derived using data from the First National Cause-of-Death Survey and the Shandong Death Registration System, respectively. ASMRs were smoothed using Area-to-Area Poisson kriging technique. Spatial scan statistics were used to detect spatial clusters with higher EC mortality and clusters with greater temporal changes in EC mortality. RESULTS: The provincial average ASMR decreased from 13.0 per 100,000 in 1970-74 to 5.8 in 2010-13. Almost all counties or districts have experienced a decrease in EC mortality, while the reduction was particularly pronounced in the mid-west region. This study has identified a geographical cluster with much higher EC mortality rates and the clustering pattern has largely unchanged over the past 40 years. Residents living in the cluster during 1970-74 were 2.7 (95%CI: 2.2-3.4) times more likely to die from EC than the rest of the province. The corresponding risk ratio for the 2011-13 cluster was 3.7 (95%CI: 2.8-5.0). CONCLUSIONS: This study detected a geographically defined subpopulation in Shandong, China with much higher risk of dying from EC. This spatial pattern has been consistent over the past few decades. The results suggest the key drives for geographic variations in esophageal cancer may not have changed.
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spelling pubmed-63184132019-01-14 Spatial Analysis of Esophageal Cancer Mortality in a High-risk Population in China: Consistent Clustering Pattern in 1970-74 and 2011-13 Kou, Kou Guo, Xiaolei Baade, Peter Lu, Zilong Fu, Zhentao Chu, Jie Xu, Aiqiang Sun, Jiandong Asian Pac J Cancer Prev Research Article PURPOSE: Almost half of the global esophageal cancer (EC) deaths occurred in China. This study aims to examine the geographic spread of EC mortality in two periods in a large Chinese population. METHODS: Age-standardized mortality rates (ASMRs) for 140 county-level units in Shandong Province during the periods 1970-74 and 2011-13 were derived using data from the First National Cause-of-Death Survey and the Shandong Death Registration System, respectively. ASMRs were smoothed using Area-to-Area Poisson kriging technique. Spatial scan statistics were used to detect spatial clusters with higher EC mortality and clusters with greater temporal changes in EC mortality. RESULTS: The provincial average ASMR decreased from 13.0 per 100,000 in 1970-74 to 5.8 in 2010-13. Almost all counties or districts have experienced a decrease in EC mortality, while the reduction was particularly pronounced in the mid-west region. This study has identified a geographical cluster with much higher EC mortality rates and the clustering pattern has largely unchanged over the past 40 years. Residents living in the cluster during 1970-74 were 2.7 (95%CI: 2.2-3.4) times more likely to die from EC than the rest of the province. The corresponding risk ratio for the 2011-13 cluster was 3.7 (95%CI: 2.8-5.0). CONCLUSIONS: This study detected a geographically defined subpopulation in Shandong, China with much higher risk of dying from EC. This spatial pattern has been consistent over the past few decades. The results suggest the key drives for geographic variations in esophageal cancer may not have changed. West Asia Organization for Cancer Prevention 2018 /pmc/articles/PMC6318413/ /pubmed/30486604 http://dx.doi.org/10.31557/APJCP.2018.19.11.3161 Text en Copyright: © Asian Pacific Journal of Cancer Prevention http://creativecommons.org/licenses/BY-SA/4.0 This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
spellingShingle Research Article
Kou, Kou
Guo, Xiaolei
Baade, Peter
Lu, Zilong
Fu, Zhentao
Chu, Jie
Xu, Aiqiang
Sun, Jiandong
Spatial Analysis of Esophageal Cancer Mortality in a High-risk Population in China: Consistent Clustering Pattern in 1970-74 and 2011-13
title Spatial Analysis of Esophageal Cancer Mortality in a High-risk Population in China: Consistent Clustering Pattern in 1970-74 and 2011-13
title_full Spatial Analysis of Esophageal Cancer Mortality in a High-risk Population in China: Consistent Clustering Pattern in 1970-74 and 2011-13
title_fullStr Spatial Analysis of Esophageal Cancer Mortality in a High-risk Population in China: Consistent Clustering Pattern in 1970-74 and 2011-13
title_full_unstemmed Spatial Analysis of Esophageal Cancer Mortality in a High-risk Population in China: Consistent Clustering Pattern in 1970-74 and 2011-13
title_short Spatial Analysis of Esophageal Cancer Mortality in a High-risk Population in China: Consistent Clustering Pattern in 1970-74 and 2011-13
title_sort spatial analysis of esophageal cancer mortality in a high-risk population in china: consistent clustering pattern in 1970-74 and 2011-13
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6318413/
https://www.ncbi.nlm.nih.gov/pubmed/30486604
http://dx.doi.org/10.31557/APJCP.2018.19.11.3161
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