• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

日本神奈川县按地理区域对未来胃癌发病率及医疗服务需求的预测。

Projection of future gastric cancer incidence and health-care service demand by geographic area in Kanagawa, Japan.

作者信息

Chei Choy-Lye, Nakamura Sho, Watanabe Kaname, Watanabe Ryo, Kurokawa Akio, Iwane Taizo, Itoh Sayaka, Narimatsu Hiroto

机构信息

Cancer Prevention and Control Division, Kanagawa Cancer Center Research Institute, Yokohama, Japan.

Department of Genetic Medicine, Kanagawa Cancer Center, Yokohama, Japan.

出版信息

Cancer Sci. 2025 Feb;116(2):488-499. doi: 10.1111/cas.16415. Epub 2024 Nov 28.

DOI:10.1111/cas.16415
PMID:39609251
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11786317/
Abstract

Projections of future gastric cancer incidence and the demand for health-care services for gastric cancer patients by geographic area will assist local authorities in determining health-care needs, allocating medical resources, and planning services. This study aims to project the future incidence of gastric cancer, estimate the number of patients per medical institution, and decompose the net changes in cases to assess the impact of population aging by geographic area. Our projections are based on population-based cancer registry data, census data from 2000 to 2020, and the projected population for 2025-2045 in Kanagawa, Japan. We classified Kanagawa into urban, town, outer city, and rural areas based on geographic and population features. The number of medical institutions providing gastric cancer treatment was used to estimate the number of patients per medical institution. We projected a decrease of 25%, 52%, and 5% in gastric cancer cases in towns, outer cities, and rural areas from 2020 to 2045, respectively. However, cases are expected to increase by 9% in urban areas, primarily due to population aging. The annual number of gastric cancer patients per medical institution in urban areas is expected to increase from 54 to 59, while numbers in other areas are predicted to decline from 2020 to 2045. Our long-term projections indicate that the number of older gastric cancer patients will continue to increase in urban areas. While current measures effectively reduce gastric cancer risk, they need to be revised to address the impact of population aging.

摘要

按地理区域预测未来胃癌发病率以及胃癌患者的医疗服务需求,将有助于地方当局确定医疗需求、分配医疗资源并规划服务。本研究旨在预测未来胃癌发病率,估计每个医疗机构的患者数量,并分解病例的净变化以评估地理区域内人口老龄化的影响。我们的预测基于日本神奈川县基于人群的癌症登记数据、2000年至2020年的人口普查数据以及2025年至2045年的预测人口。根据地理和人口特征,我们将神奈川县分为城市、城镇、外城和农村地区。提供胃癌治疗的医疗机构数量用于估计每个医疗机构的患者数量。我们预测,从2020年到2045年,城镇、外城和农村地区的胃癌病例数将分别减少25%、52%和5%。然而,城市地区的病例数预计将增加9%,主要原因是人口老龄化。预计城市地区每个医疗机构的胃癌患者年数量将从54人增加到59人,而其他地区的数量预计从2020年到2045年将下降。我们的长期预测表明,城市地区老年胃癌患者的数量将继续增加。虽然目前的措施有效地降低了胃癌风险,但需要进行修订以应对人口老龄化的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f07/11786317/2113fc25f512/CAS-116-488-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f07/11786317/caee470b4221/CAS-116-488-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f07/11786317/290c98a64872/CAS-116-488-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f07/11786317/4251230e7a80/CAS-116-488-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f07/11786317/2113fc25f512/CAS-116-488-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f07/11786317/caee470b4221/CAS-116-488-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f07/11786317/290c98a64872/CAS-116-488-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f07/11786317/4251230e7a80/CAS-116-488-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f07/11786317/2113fc25f512/CAS-116-488-g002.jpg

相似文献

1
Projection of future gastric cancer incidence and health-care service demand by geographic area in Kanagawa, Japan.日本神奈川县按地理区域对未来胃癌发病率及医疗服务需求的预测。
Cancer Sci. 2025 Feb;116(2):488-499. doi: 10.1111/cas.16415. Epub 2024 Nov 28.
2
Prediction of Female Breast Cancer Incidence among the Aging Society in Kanagawa, Japan.日本神奈川县老龄化社会中女性乳腺癌发病率的预测
PLoS One. 2016 Aug 17;11(8):e0159913. doi: 10.1371/journal.pone.0159913. eCollection 2016.
3
[Epidemiological characteristics of gastric cancer in China, 2015].[2015年中国胃癌的流行病学特征]
Zhonghua Liu Xing Bing Xue Za Zhi. 2019 Dec 10;40(12):1517-1521. doi: 10.3760/cma.j.issn.0254-6450.2019.12.003.
4
Impact of frailty in older people on health care demand: simulation modelling of population dynamics to inform service planning.老年人脆弱性对医疗保健需求的影响:人口动态模拟为服务规划提供信息。
Health Soc Care Deliv Res. 2024 Oct;12(44):1-140. doi: 10.3310/LKJF3976.
5
Forecasting Informal care needs of the urban-rural older adults in China based on microsimulation model.基于微观模拟模型预测中国城乡老年人口的非正式护理需求。
BMC Public Health. 2024 Aug 29;24(1):2352. doi: 10.1186/s12889-024-19747-5.
6
Trends of older gastric cancer incidence, mortality, and survival in the highest gastric cancer risk area in China: 2010-2019 and prediction to 2024.中国最高胃癌风险地区 2010-2019 年老年胃癌发病率、死亡率和生存率趋势:2024 年预测
BMC Public Health. 2024 Sep 9;24(1):2449. doi: 10.1186/s12889-024-19944-2.
7
[Incidence and mortality of stomach cancer in China, 2013].《2013年中国胃癌的发病率与死亡率》
Zhonghua Zhong Liu Za Zhi. 2017 Jul 23;39(7):547-552. doi: 10.3760/cma.j.issn.0253-3766.2017.07.015.
8
[Trends of stomach cancer incidence and mortality in Shandong province from 2012 to 2012 and predictions from 2023 to 2030].山东省2012年至2012年胃癌发病率和死亡率趋势以及2023年至2030年预测
Zhonghua Zhong Liu Za Zhi. 2024 Sep 23;46(9):871-877. doi: 10.3760/cma.j.cn112152-20231227-00387.
9
The impact of HIV-1 infection on mortality in children under 5 years of age in sub-Saharan Africa: a demographic and epidemiologic analysis.人类免疫缺陷病毒1型(HIV-1)感染对撒哈拉以南非洲5岁以下儿童死亡率的影响:一项人口统计学和流行病学分析。
AIDS. 1994 Jul;8(7):995-1005. doi: 10.1097/00002030-199407000-00019.
10
[Differences in the Elderly Care Service Demand,Preference,and Tendency Between Urban and Rural Areas in the Pearl River Delta].[珠江三角洲城乡老年人护理服务需求、偏好及趋势的差异]
Zhongguo Yi Xue Ke Xue Yuan Xue Bao. 2024 Apr;46(2):193-203. doi: 10.3881/j.issn.1000-503X.15750.

本文引用的文献

1
Epidemiology, risk areas and macro determinants of gastric cancer: a study based on geospatial analysis.胃癌的流行病学、风险区域和宏观决定因素:基于地理空间分析的研究。
Int J Health Geogr. 2023 Nov 25;22(1):32. doi: 10.1186/s12942-023-00356-1.
2
Trends and future projections of liver cancer incidence in Hong Kong: a population-based study.香港肝癌发病率的趋势及未来预测:一项基于人群的研究。
Arch Public Health. 2023 Oct 3;81(1):179. doi: 10.1186/s13690-023-01191-3.
3
Long-Term Projections of Cancer Incidence and Mortality in Japan and Decomposition Analysis of Changes in Cancer Burden, 2020-2054: An Empirical Validation Approach.
日本2020 - 2054年癌症发病率和死亡率的长期预测及癌症负担变化的分解分析:一种实证验证方法
Cancers (Basel). 2022 Dec 9;14(24):6076. doi: 10.3390/cancers14246076.
4
Rural-Urban Disparities in Cancer Outcomes: Opportunities for Future Research.城乡癌症结局差异:未来研究的机遇。
J Natl Cancer Inst. 2022 Jul 11;114(7):940-952. doi: 10.1093/jnci/djac030.
5
The Association of Rural-Urban Inhabitation With Gastric Adenocarcinoma Mortality and Treatment: A Surveillance, Epidemiology, and End Results (SEER)-Based Study.城乡居住与胃腺癌死亡率及治疗的关联:一项基于监测、流行病学和最终结果(SEER)的研究
Cureus. 2021 Oct 7;13(10):e18571. doi: 10.7759/cureus.18571. eCollection 2021 Oct.
6
Epidemiological Trends and Future Perspectives of Gastric Cancer in Eastern Asia.东亚地区胃癌的流行病学趋势和未来展望。
Digestion. 2022;103(1):22-28. doi: 10.1159/000518483. Epub 2021 Sep 7.
7
Gastric cancer: lessons learned from high-incidence geographic regions.胃癌:从高发病地理区域汲取的经验教训。
J Gastrointest Oncol. 2021 Jul;12(Suppl 2):S350-S360. doi: 10.21037/jgo-2019-gi-05.
8
Geographic and Socioeconomic Disparity of Gastric Cancer Patients in Canada.加拿大胃癌患者的地理和社会经济差异。
Curr Oncol. 2021 May 28;28(3):2052-2064. doi: 10.3390/curroncol28030190.
9
Future Patient Incidence in Hemato-Oncology: A Study Using Data from Cancer Registries in Japan.血液肿瘤学中未来患者发病率:一项利用日本癌症登记数据的研究。
Risk Manag Healthc Policy. 2020 Nov 3;13:2407-2414. doi: 10.2147/RMHP.S277207. eCollection 2020.
10
Population ageing and mortality during 1990-2017: A global decomposition analysis.1990-2017 年人口老龄化和死亡率:全球分解分析。
PLoS Med. 2020 Jun 8;17(6):e1003138. doi: 10.1371/journal.pmed.1003138. eCollection 2020 Jun.