晚期肾细胞癌治疗序列：健康经济学评估数据集

数据集获取（Figshare）

• 源站标题：Treatment sequences for advanced renal cell carcinoma: A health economic assessment
• DOI：10.1371/journal.pone.0215761
• 发布日期：2019-08-29
• 文件数：11 个
• 文件总体积：2.60 MB
• 源站页面：https://plos.figshare.com/articles/dataset/Treatment_sequences_for_advanced_renal_cell_carcinoma_A_health_economic_assessment/9749939

命令行下载

curl -L -o "pone.0215761.s001.pdf" "https://ndownloader.figshare.com/files/17465144"
curl -L -o "pone.0215761.s002.pdf" "https://ndownloader.figshare.com/files/17465147"
curl -L -o "pone.0215761.s003.pdf" "https://ndownloader.figshare.com/files/17465150"
curl -L -o "pone.0215761.s004.pdf" "https://ndownloader.figshare.com/files/17465153"
curl -L -o "pone.0215761.s005.pdf" "https://ndownloader.figshare.com/files/17465156"
curl -L -o "pone.0215761.s006.pdf" "https://ndownloader.figshare.com/files/17465159"
curl -L -o "pone.0215761.s007.pdf" "https://ndownloader.figshare.com/files/17465162"
curl -L -o "pone.0215761.s008.pdf" "https://ndownloader.figshare.com/files/17465165"

文件清单

• pone.0215761.s001.pdf（169.93 KB）
• pone.0215761.s002.pdf（230.18 KB）
• pone.0215761.s003.pdf（221.79 KB）
• pone.0215761.s004.pdf（115.86 KB）
• pone.0215761.s005.pdf（170.35 KB）
• pone.0215761.s006.pdf（26.39 KB）
• pone.0215761.s007.pdf（88.86 KB）
• pone.0215761.s008.pdf（12.01 KB）
• pone.0215761.s009.pdf（71.29 KB）
• pone.0215761.s010.pdf（347.75 KB）
• pone.0215761.s011.xlsx（1.15 MB）

文件总体积 2.60 MB（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

Objective
Advanced renal cell carcinoma (RCC) is commonly treated with vascular endothelial growth factor or mammalian target of rapamycin inhibitors. As new therapies emerge, interest grows in gaining a deeper understanding of treatment sequences. Recently, we developed a patient-level, discretely integrated condition event (DICE) simulation to estimate survival and lifetime costs for various cancer therapies, using a US payer perspective. Using this model, we explored the impact of treatments such as nivolumab and cabozantinib, and compared the clinical outcomes and cost consequences of commonly used treatment algorithms for patients with advanced RCC.
Methods
Included treatment sequences were pazopanib or sunitinib as first-line treatment, followed by nivolumab, cabozantinib, axitinib, pazopanib or everolimus. Efficacy inputs were derived from the CheckMate 025 trial and a network meta-analysis based on available literature. Safety and cost data were obtained from publicly available sources or literature.
Results
Based on our analysis, the average cost per life-year (LY) was lowest for sequences including nivolumab (sunitinib → nivolumab, $75,268/LY; pazopanib → nivolumab, $84,459/LY) versus axitinib, pazopanib, everolimus and cabozantinib as second-line treatments. Incremental costs per LY gained were $49,592, $73,927 and $30,534 for nivolumab versus axitinib, pazopanib and everolimus-containing sequences, respectively. The model suggests that nivolumab offers marginally higher life expectancy at a lower cost versus cabozantinib-including sequences.
Conclusion
Treatment sequences using nivolumab in the second-line setting are less costly compared with sequential use of targeted agents. In addition to efficacy and safety data, cost considerations may be taken into account when considering treatment algorithms for patients with advanced RCC.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0215761（source: https://plos.figshare.com/articles/dataset/Treatment_sequences_for_advanced_renal_cell_carcinoma_A_health_economic_assessment/9749939）。