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Cancer survival analysis and spatial distribution during 2014–2016 in Shandong Province, China
We aimed to analyse cancer survival and its spatial distribution in Shandong Province. A total of 609,861 cancer cases from 2014 to 2016 were included in the analysis. Survival analysis was performed using strs in Stata. Spatial analysis was performed with GeoDa to determine measures of global and l...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10293178/ https://www.ncbi.nlm.nih.gov/pubmed/37365230 http://dx.doi.org/10.1038/s41598-023-37252-4 |
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author | Jiang, Fan Fu, Zhentao Lu, Zilong Chu, Jie Xu, Aiqiang Guo, Xiaolei Ma, Jixiang |
author_facet | Jiang, Fan Fu, Zhentao Lu, Zilong Chu, Jie Xu, Aiqiang Guo, Xiaolei Ma, Jixiang |
author_sort | Jiang, Fan |
collection | PubMed |
description | We aimed to analyse cancer survival and its spatial distribution in Shandong Province. A total of 609,861 cancer cases from 2014 to 2016 were included in the analysis. Survival analysis was performed using strs in Stata. Spatial analysis was performed with GeoDa to determine measures of global and local spatial autocorrelation. Hotspot analysis was used to identify spatial clusters of high values (hotspots) and low values (cold spots) through ArcGIS. The 5-year relative survival rates were 37.85% for all cancers combined, 29.29% for males and 48.88% for females. After age standardisation, the survival rates were 34.47% for all cancers, 28.43% for males and 41.56% for females. Cancers with higher survival rates included thyroid (78.80%), breast (69.52%), uterus (64.51%) and bladder (62.54%) cancers. However, cancers with lower survival rates included pancreatic (11.34%), liver (13.19%), lung (18.39%), bone (19.71%), gallbladder (19.78%), oesophagus (24.52%), and stomach (28.85%) cancers and leukaemia (26.30%). Cancer survival rates in urban areas (37.53%) were higher than those in rural areas (32.83%). From the geographic distribution of cancer survival, we observed that the survival rate displayed a downward trend from east to west and from north to south. The hotspot analysis revealed that some counties of Qingdao, Jinan, Zibo, Dongying and Yantai cities were hotspots, whereas almost all counties of Linyi city and some counties of Weifang, Heze, Rizhao, and Dezhou cities were cold spots. In conclusion, the cancer survival rate in Shandong is still lower than that in China overall. The early diagnosis and treatment of lung and digestive tract cancers need to be further strengthened. Nevertheless, our results reflect a critical first step in obtaining and reporting accurate and reliable estimates of survival in Shandong. |
format | Online Article Text |
id | pubmed-10293178 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-102931782023-06-28 Cancer survival analysis and spatial distribution during 2014–2016 in Shandong Province, China Jiang, Fan Fu, Zhentao Lu, Zilong Chu, Jie Xu, Aiqiang Guo, Xiaolei Ma, Jixiang Sci Rep Article We aimed to analyse cancer survival and its spatial distribution in Shandong Province. A total of 609,861 cancer cases from 2014 to 2016 were included in the analysis. Survival analysis was performed using strs in Stata. Spatial analysis was performed with GeoDa to determine measures of global and local spatial autocorrelation. Hotspot analysis was used to identify spatial clusters of high values (hotspots) and low values (cold spots) through ArcGIS. The 5-year relative survival rates were 37.85% for all cancers combined, 29.29% for males and 48.88% for females. After age standardisation, the survival rates were 34.47% for all cancers, 28.43% for males and 41.56% for females. Cancers with higher survival rates included thyroid (78.80%), breast (69.52%), uterus (64.51%) and bladder (62.54%) cancers. However, cancers with lower survival rates included pancreatic (11.34%), liver (13.19%), lung (18.39%), bone (19.71%), gallbladder (19.78%), oesophagus (24.52%), and stomach (28.85%) cancers and leukaemia (26.30%). Cancer survival rates in urban areas (37.53%) were higher than those in rural areas (32.83%). From the geographic distribution of cancer survival, we observed that the survival rate displayed a downward trend from east to west and from north to south. The hotspot analysis revealed that some counties of Qingdao, Jinan, Zibo, Dongying and Yantai cities were hotspots, whereas almost all counties of Linyi city and some counties of Weifang, Heze, Rizhao, and Dezhou cities were cold spots. In conclusion, the cancer survival rate in Shandong is still lower than that in China overall. The early diagnosis and treatment of lung and digestive tract cancers need to be further strengthened. Nevertheless, our results reflect a critical first step in obtaining and reporting accurate and reliable estimates of survival in Shandong. Nature Publishing Group UK 2023-06-26 /pmc/articles/PMC10293178/ /pubmed/37365230 http://dx.doi.org/10.1038/s41598-023-37252-4 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/) . |
spellingShingle | Article Jiang, Fan Fu, Zhentao Lu, Zilong Chu, Jie Xu, Aiqiang Guo, Xiaolei Ma, Jixiang Cancer survival analysis and spatial distribution during 2014–2016 in Shandong Province, China |
title | Cancer survival analysis and spatial distribution during 2014–2016 in Shandong Province, China |
title_full | Cancer survival analysis and spatial distribution during 2014–2016 in Shandong Province, China |
title_fullStr | Cancer survival analysis and spatial distribution during 2014–2016 in Shandong Province, China |
title_full_unstemmed | Cancer survival analysis and spatial distribution during 2014–2016 in Shandong Province, China |
title_short | Cancer survival analysis and spatial distribution during 2014–2016 in Shandong Province, China |
title_sort | cancer survival analysis and spatial distribution during 2014–2016 in shandong province, china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10293178/ https://www.ncbi.nlm.nih.gov/pubmed/37365230 http://dx.doi.org/10.1038/s41598-023-37252-4 |
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