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Epidemiology, risk areas and macro determinants of gastric cancer: a study based on geospatial analysis

BACKGROUND: Both incidence and mortality of gastric cancer in Gansu rank first in china, this study aimed to describe the recent prevalence of gastric cancer and explore the social and environmental determinants of gastric cancer in Gansu Province. METHODS: The incidence of gastric cancer in each ci...

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Autores principales: Huang, Binjie, Liu, Jie, Ding, Feifei, Li, Yumin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10675916/
https://www.ncbi.nlm.nih.gov/pubmed/38007458
http://dx.doi.org/10.1186/s12942-023-00356-1
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author Huang, Binjie
Liu, Jie
Ding, Feifei
Li, Yumin
author_facet Huang, Binjie
Liu, Jie
Ding, Feifei
Li, Yumin
author_sort Huang, Binjie
collection PubMed
description BACKGROUND: Both incidence and mortality of gastric cancer in Gansu rank first in china, this study aimed to describe the recent prevalence of gastric cancer and explore the social and environmental determinants of gastric cancer in Gansu Province. METHODS: The incidence of gastric cancer in each city of Gansu Province was calculated by utilizing clinical data from patients with gastric cancer (2013–2021) sourced from the medical big data platform of the Gansu Province Health Commission, and demographic data provided by the Gansu Province Bureau of Statistics. Subsequently, we conducted joinpoint regression analysis, spatial auto-correlation analysis, space–time scanning analysis, as well as an exploration into the correlation between social and environmental factors and GC incidence in Gansu Province with Joinpoint_5.0, ArcGIS_10.8, GeoDa, SaTScan(TM)_10.1.1 and GeoDetector_2018. RESULTS: A total of 75,522 cases of gastric cancer were included in this study. Our findings suggested a significant upward trend in the incidence of gastric cancer over the past nine years. Notably, Wuwei, Zhangye and Jinchang had the highest incidence rates while Longnan, Qingyang and Jiayuguan had the lowest. In spatial analysis, we have identified significant high-high cluster areas and delineated two high-risk regions as well as one low-risk region for gastric cancer in Gansu. Furthermore, our findings suggested that several social and environmental determinants such as medical resource allocation, regional economic development and climate conditions exerted significant influence on the incidence of gastric cancer. CONCLUSIONS: Gastric cancer remains an enormous threat to people in Gansu Province, the significant risk areas, social and environmental determinants were observed in this study, which may improve our understanding of gastric cancer epidemiology and help guide public health interventions in Gansu Province.
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spelling pubmed-106759162023-11-25 Epidemiology, risk areas and macro determinants of gastric cancer: a study based on geospatial analysis Huang, Binjie Liu, Jie Ding, Feifei Li, Yumin Int J Health Geogr Research BACKGROUND: Both incidence and mortality of gastric cancer in Gansu rank first in china, this study aimed to describe the recent prevalence of gastric cancer and explore the social and environmental determinants of gastric cancer in Gansu Province. METHODS: The incidence of gastric cancer in each city of Gansu Province was calculated by utilizing clinical data from patients with gastric cancer (2013–2021) sourced from the medical big data platform of the Gansu Province Health Commission, and demographic data provided by the Gansu Province Bureau of Statistics. Subsequently, we conducted joinpoint regression analysis, spatial auto-correlation analysis, space–time scanning analysis, as well as an exploration into the correlation between social and environmental factors and GC incidence in Gansu Province with Joinpoint_5.0, ArcGIS_10.8, GeoDa, SaTScan(TM)_10.1.1 and GeoDetector_2018. RESULTS: A total of 75,522 cases of gastric cancer were included in this study. Our findings suggested a significant upward trend in the incidence of gastric cancer over the past nine years. Notably, Wuwei, Zhangye and Jinchang had the highest incidence rates while Longnan, Qingyang and Jiayuguan had the lowest. In spatial analysis, we have identified significant high-high cluster areas and delineated two high-risk regions as well as one low-risk region for gastric cancer in Gansu. Furthermore, our findings suggested that several social and environmental determinants such as medical resource allocation, regional economic development and climate conditions exerted significant influence on the incidence of gastric cancer. CONCLUSIONS: Gastric cancer remains an enormous threat to people in Gansu Province, the significant risk areas, social and environmental determinants were observed in this study, which may improve our understanding of gastric cancer epidemiology and help guide public health interventions in Gansu Province. BioMed Central 2023-11-25 /pmc/articles/PMC10675916/ /pubmed/38007458 http://dx.doi.org/10.1186/s12942-023-00356-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Huang, Binjie
Liu, Jie
Ding, Feifei
Li, Yumin
Epidemiology, risk areas and macro determinants of gastric cancer: a study based on geospatial analysis
title Epidemiology, risk areas and macro determinants of gastric cancer: a study based on geospatial analysis
title_full Epidemiology, risk areas and macro determinants of gastric cancer: a study based on geospatial analysis
title_fullStr Epidemiology, risk areas and macro determinants of gastric cancer: a study based on geospatial analysis
title_full_unstemmed Epidemiology, risk areas and macro determinants of gastric cancer: a study based on geospatial analysis
title_short Epidemiology, risk areas and macro determinants of gastric cancer: a study based on geospatial analysis
title_sort epidemiology, risk areas and macro determinants of gastric cancer: a study based on geospatial analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10675916/
https://www.ncbi.nlm.nih.gov/pubmed/38007458
http://dx.doi.org/10.1186/s12942-023-00356-1
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