{"title":"2010-2020年广州市甲状腺癌发病时空分布及演变趋势","authors":"Boheng Liang, Jingjing Zhou, Suixiang Wang, Huan Xu, Ke Li, Huiting Liang, Zeyu Sun, Yanhong Liu, Yawen Wang, Jiaqi Zhang, Pengzhe Qin, Xiaoqin Hu","doi":"10.1007/s12020-025-04274-z","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>The spatial and temporal distribution of thyroid cancer in Guangzhou was studied using spatial information system technology, offering a scientific foundation for successful thyroid cancer prevention and treatment.</p><p><strong>Methods: </strong>The Joinpoint model was used to assess the incidence rate of thyroid cancer over time in various regions. Hierarchical maps were created with the ArcGIS software to investigate the spatial distribution features of the incidence rate. Spatial autocorrelation and spatiotemporal scanning analysis methods were used to assess geographical clustering. Standard deviation ellipse analysis was used to analyze the spatial and temporal trends of incidence.</p><p><strong>Results: </strong>The age-standardized incidence rate (ASIR) increased from 6.46/10<sup>5</sup> in 2010 to 33.15/10<sup>5</sup> in 2020, showing a nearly five-fold increase. The ASIR of urban regions was highest, but the growth rates of suburban regions and rural regions were faster than that of urban regions, and the regional disparity was gradually narrowing. The spatial distribution of thyroid cancer incidence has significant spatial heterogeneity and clustering. The hotspots clustered in the urban regions, Panyu and Nansha districts in the south, Huadu district in the north, and Zengcheng district in the east. The spatiotemporal evolution trends showed that since 2010, the incidence rate first migrated to the south-west, and then migrated to the north-east from 2015.</p><p><strong>Conclusions: </strong>Significant heterogeneity and clustering were seen in the spatial distribution of the thyroid cancer incidence rate in Guangzhou, and the regional disparity decreased. The direction of evolution consistent with Guangzhou's \"Southern Expansion, Northern Enhancement, Eastern Advancement, Western Integration and Central Revitalization\" spatial development policy.</p>","PeriodicalId":11572,"journal":{"name":"Endocrine","volume":" ","pages":""},"PeriodicalIF":3.7000,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Spatial and temporal distribution and evolutionary trend of thyroid cancer incidence in Guangzhou, 2010-2020.\",\"authors\":\"Boheng Liang, Jingjing Zhou, Suixiang Wang, Huan Xu, Ke Li, Huiting Liang, Zeyu Sun, Yanhong Liu, Yawen Wang, Jiaqi Zhang, Pengzhe Qin, Xiaoqin Hu\",\"doi\":\"10.1007/s12020-025-04274-z\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>The spatial and temporal distribution of thyroid cancer in Guangzhou was studied using spatial information system technology, offering a scientific foundation for successful thyroid cancer prevention and treatment.</p><p><strong>Methods: </strong>The Joinpoint model was used to assess the incidence rate of thyroid cancer over time in various regions. Hierarchical maps were created with the ArcGIS software to investigate the spatial distribution features of the incidence rate. Spatial autocorrelation and spatiotemporal scanning analysis methods were used to assess geographical clustering. Standard deviation ellipse analysis was used to analyze the spatial and temporal trends of incidence.</p><p><strong>Results: </strong>The age-standardized incidence rate (ASIR) increased from 6.46/10<sup>5</sup> in 2010 to 33.15/10<sup>5</sup> in 2020, showing a nearly five-fold increase. The ASIR of urban regions was highest, but the growth rates of suburban regions and rural regions were faster than that of urban regions, and the regional disparity was gradually narrowing. The spatial distribution of thyroid cancer incidence has significant spatial heterogeneity and clustering. The hotspots clustered in the urban regions, Panyu and Nansha districts in the south, Huadu district in the north, and Zengcheng district in the east. The spatiotemporal evolution trends showed that since 2010, the incidence rate first migrated to the south-west, and then migrated to the north-east from 2015.</p><p><strong>Conclusions: </strong>Significant heterogeneity and clustering were seen in the spatial distribution of the thyroid cancer incidence rate in Guangzhou, and the regional disparity decreased. The direction of evolution consistent with Guangzhou's \\\"Southern Expansion, Northern Enhancement, Eastern Advancement, Western Integration and Central Revitalization\\\" spatial development policy.</p>\",\"PeriodicalId\":11572,\"journal\":{\"name\":\"Endocrine\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2025-05-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Endocrine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1007/s12020-025-04274-z\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Endocrine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s12020-025-04274-z","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Medicine","Score":null,"Total":0}
Spatial and temporal distribution and evolutionary trend of thyroid cancer incidence in Guangzhou, 2010-2020.
Purpose: The spatial and temporal distribution of thyroid cancer in Guangzhou was studied using spatial information system technology, offering a scientific foundation for successful thyroid cancer prevention and treatment.
Methods: The Joinpoint model was used to assess the incidence rate of thyroid cancer over time in various regions. Hierarchical maps were created with the ArcGIS software to investigate the spatial distribution features of the incidence rate. Spatial autocorrelation and spatiotemporal scanning analysis methods were used to assess geographical clustering. Standard deviation ellipse analysis was used to analyze the spatial and temporal trends of incidence.
Results: The age-standardized incidence rate (ASIR) increased from 6.46/105 in 2010 to 33.15/105 in 2020, showing a nearly five-fold increase. The ASIR of urban regions was highest, but the growth rates of suburban regions and rural regions were faster than that of urban regions, and the regional disparity was gradually narrowing. The spatial distribution of thyroid cancer incidence has significant spatial heterogeneity and clustering. The hotspots clustered in the urban regions, Panyu and Nansha districts in the south, Huadu district in the north, and Zengcheng district in the east. The spatiotemporal evolution trends showed that since 2010, the incidence rate first migrated to the south-west, and then migrated to the north-east from 2015.
Conclusions: Significant heterogeneity and clustering were seen in the spatial distribution of the thyroid cancer incidence rate in Guangzhou, and the regional disparity decreased. The direction of evolution consistent with Guangzhou's "Southern Expansion, Northern Enhancement, Eastern Advancement, Western Integration and Central Revitalization" spatial development policy.
期刊介绍：
Well-established as a major journal in today’s rapidly advancing experimental and clinical research areas, Endocrine publishes original articles devoted to basic (including molecular, cellular and physiological studies), translational and clinical research in all the different fields of endocrinology and metabolism. Articles will be accepted based on peer-reviews, priority, and editorial decision. Invited reviews, mini-reviews and viewpoints on relevant pathophysiological and clinical topics, as well as Editorials on articles appearing in the Journal, are published. Unsolicited Editorials will be evaluated by the editorial team. Outcomes of scientific meetings, as well as guidelines and position statements, may be submitted. The Journal also considers special feature articles in the field of endocrine genetics and epigenetics, as well as articles devoted to novel methods and techniques in endocrinology.
Endocrine covers controversial, clinical endocrine issues. Meta-analyses on endocrine and metabolic topics are also accepted. Descriptions of single clinical cases and/or small patients studies are not published unless of exceptional interest. However, reports of novel imaging studies and endocrine side effects in single patients may be considered. Research letters and letters to the editor related or unrelated to recently published articles can be submitted.
Endocrine covers leading topics in endocrinology such as neuroendocrinology, pituitary and hypothalamic peptides, thyroid physiological and clinical aspects, bone and mineral metabolism and osteoporosis, obesity, lipid and energy metabolism and food intake control, insulin, Type 1 and Type 2 diabetes, hormones of male and female reproduction, adrenal diseases pediatric and geriatric endocrinology, endocrine hypertension and endocrine oncology.
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