中国西南四省县级癌症防治能力横断面研究表1

中国西南四省县级癌症防治能力横断面研究数据表,包含医院设施、人员及临床实践等信息。

NIAID Data Ecosystem
浏览 21
表格county-level cancer hospitalcross-sectional studyhealthcare resourcessouthwest China
Table 1_Cross-sectional study on the current status of county-level cancer prevention and treatment capabilities in the four southwestern provinces of China.docx

基本信息

模态
表格
大小
0.000022574 GB
许可
CC BY 4.0
创建/更新时间
2026-10-08
版本
v1

资源简介

中国西南四省县级癌症防治能力横断面研究表1

【一句话概览】

本数据集是 figshare 公开的结构化表格数据集,收录 1 个文件、合计 22.57 KB,主题涵盖 county-level cancer hospital、cross-sectional study、healthcare resources、southwest China,可用于统计建模、特征工程与队列分析,CC BY 4.0 许可开放获取。

【数据集背景】

本数据集源站标题为《Table 1_Cross-sectional study on the current status of county-level cancer prevention and treatment capabilities in the four southwestern provinces of China.docx》。配套论文《Current situation and capacity of cancer diagnosis and treatment in county hospitals in China: a multicenter cross-sectional survey》发表于 Holistic Integrative Oncology(2024),DOI:10.1007/s44178-024-00124-6。源站首次发布:2026-03-27。

【数据内容】

源站原始描述:BackgroundThe grassroots regions in the four provinces of Southwest China bear a high burden of cancer nationally. In response, the Chinese government has been continuously promoting the construction of a grassroots cancer prevention and treatment system. This study aims to systematically evaluate the current capacity for cancer prevention and treatment at the county level in this region, aligning with the “Healthy China” strategy and the “Thousand-County Project” policy objectives. MethodsThis…

【数据结构与技术规格】

文件数 1 个,合计 22.57 KB。Table 1_Cross-sectional study on the current status of county-level cancer prevention and treatment capabilities in the four southwestern provinces of.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,22.57 KB。数据集 DOI:10.3389/fpubh.2026.1785343.s001。

【主题与分类】

源站学科分类:Public Health and Health Services not elsewhere classified。主题标签:county-level cancer hospital、cross-sectional study、healthcare resources、southwest China。

【适用方向】

结构化表格数据可直接用于统计建模、特征工程与队列分析。

【获取与许可】

源站页面:https://frontiersin.figshare.com/articles/dataset/Table_1_Cross-sectional_study_on_the_current_status_of_county-level_cancer_prevention_and_treatment_capabilities_in_the_four_southwestern_provinces_of_China_docx/31868209

使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。

规范引用:Tan, Xiang; Du, Chi; Cai, Haibo; Xu, Jinsong; Zhang, Yan; Li, Yanping; et al. (2026). Table 1_Cross-sectional study on the current status of county-level cancer prevention and treatment capabilities in the four southwestern provinces of China.docx. Frontiers. Dataset

官方服务

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⚡️ 需要原始数据或标注支持?联系我们获取定制方案。

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下载信息

注册下载

需要注册 Kaggle 账号并登录后下载,适合需要跟踪下载记录和使用 API 的用户。

暂未开放

公开下载

无需注册即可直接获取公开样本或文档,适合快速预览和评估数据集质量。

免登录

有偿下载

公开数据集受托下载与技术交付服务。

提供高速下载与技术交付服务(收技术服务费,非数据销售)

暂未开放

当前数据集主要来源为 Kaggle 公开托管,完整影像包建议通过原始链接或 Kaggle API 获取。

使用方式

数据集获取(Figshare)

命令行下载

curl -L -o "Table 1_Cross-sectional study on the current status of county-level cancer prevention and treatment capabilities in the four southwestern provinces of.docx" "https://ndownloader.figshare.com/files/63164497"

文件清单

  • Table 1_Cross-sectional study on the current status of county-level cancer prevention and treatment capabilities in the four southwestern provinces of.docx(22.57 KB)

文件总体积 22.57 KB(源站 API 实测)。

数据加载示例(图像类)

from PIL import Image
import glob, os

files = (glob.glob(os.path.join(path, "**", "*.png"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.jpg"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.tif"), recursive=True))
print("图像文件数:", len(files))
img = Image.open(files[0]); print("尺寸/模式:", img.size, img.mode)

# torchvision Dataset 方式:
# from torchvision import datasets
# ds = datasets.ImageFolder(path)  # 要求 子目录=类别

目录组织与标注格式以源站说明和下载后实际文件为准。

数据说明

BackgroundThe grassroots regions in the four provinces of Southwest China bear a high burden of cancer nationally. In response, the Chinese government has been continuously promoting the construction of a grassroots cancer prevention and treatment system. This study aims to systematically evaluate the current capacity for cancer prevention and treatment at the county level in this region, aligning with the “Healthy China” strategy and the “Thousand-County Project” policy objectives.
MethodsThis cross-sectional study was conducted from December 2023 to March 2024. A standardized online questionnaire was distributed to 470 district and county (city) level hospitals across four provinces in Southwest China (Yunnan, Sichuan, Guizhou, and Guangxi). The survey investigated the availability of hardware facilities, staffing levels, and clinical practice standards related to cancer care. Descriptive statistical analysis was used to assess the current status of cancer prevention and treatment resources and capabilities. Comparisons between groups for categorical variables were performed using the chi-square test, while continuous variables were compared using the t-test or Wilcoxon rank-sum test, with a significance level set at α = 0.05. All analyses were conducted using SPSS software version 22.0.
ResultsTertiary hospitals dominate county-level cancer prevention and control in the four southwestern provinces (63.6%), and 46.1% of cancer prevention and control hospitals have established cancer prevention and control centers. Imaging examination coverage is high (CT/MRI coverage rates of 97.5/88.4%), and access to conventional cancer treatment methods is good (access rates for curative surgery, targeted therapy, chemotherapy, endocrine therapy, and immunotherapy are 79.1, 97.5, 96.4, 83.2% and 87.3%, respectively). Multidisciplinary diagnosis and treatment models are developing rapidly (MDT implementation rate of 56.8%), and pathology support is strong (77.8% of hospitals conduct pathological diagnosis). However, the configuration of radiotherapy equipment is significantly insufficient (0.16 linear accelerators per county on average); the rate of independently conducted g

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fpubh.2026.1785343.s001(source: https://frontiersin.figshare.com/articles/dataset/Table_1_Cross-sectional_study_on_the_current_status_of_county-level_cancer_prevention_and_treatment_capabilities_in_the_four_southwestern_provinces_of_China_docx/31868209)。

数据缺失?

依托陕西、四川两大基地,我们与超过十家三甲医院建立直接合作关系,覆盖合规授权、采集治理、专业标注、数据交付的全流程,为AI医疗团队提供即拿即用的高质量临床数据。

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