外科医生和医院手术量对癌症生存率影响的多变量分析：一项基于台湾全国人群的研究

数据集获取（Figshare）

• 源站标题：Multivariate Analyses to Assess the Effects of Surgeon and Hospital Volume on Cancer Survival Rates: A Nationwide Population-Based Study in Taiwan
• DOI：10.1371/journal.pone.0040590
• 发布日期：2012-07-17
• 文件数：2 个
• 文件总体积：98.82 KB
• 源站页面：https://plos.figshare.com/articles/dataset/Multivariate_Analyses_to_Assess_the_Effects_of_Surgeon_and_Hospital_Volume_on_Cancer_Survival_Rates_A_Nationwide_Population_Based_Study_in_Taiwan/122795

命令行下载

curl -L -o "Appendix_S1.doc" "https://ndownloader.figshare.com/files/318127"
curl -L -o "Appendix_S2.doc" "https://ndownloader.figshare.com/files/318197"

文件清单

• Appendix_S1.doc（38.91 KB）
• Appendix_S2.doc（59.90 KB）

文件总体积 98.82 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

Background
Positive results between caseloads and outcomes have been validated in several procedures and cancer treatments. However, there is limited information available on the combined effects of surgeon and hospital caseloads. We used nationwide population-based data to explore the association between surgeon and hospital caseloads and survival rates for major cancers.
Methodology
A total of 11677 patients with incident cancer diagnosed in 2002 were identified from the Taiwan National Health Insurance Research Database. Survival analysis, the Cox proportional hazards model, and propensity scores were used to assess the relationship between 5-year survival rates and different caseload combinations.
Results
Based on the Cox proportional hazard model, cancer patients treated by low-volume surgeons in low-volume hospitals had poorer survival rates, and hazard ratios ranged from 1.3 in head and neck cancer to 1.8 in lung cancer after adjusting for patients’ demographic variables, co-morbidities, and treatment modality. When analyzed using the propensity scores, the adjusted 5-year survival rates were poorer for patients treated by low-volume surgeons in low-volume hospitals, compared to those treated by high-volume surgeons in high-volume hospitals (PConclusions
After adjusting for differences in the case mix, cancer patients treated by low-volume surgeons in low-volume hospitals had poorer 5-year survival rates. Payers may implement quality care improvement in low-volume surgeons.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0040590（source: https://plos.figshare.com/articles/dataset/Multivariate_Analyses_to_Assess_the_Effects_of_Surgeon_and_Hospital_Volume_on_Cancer_Survival_Rates_A_Nationwide_Population_Based_Study_in_Taiwan/122795）。