表4_PD-L1检测指导纳武利尤单抗作为晚期NSCLC二线治疗的策略:在中国的一项成本效益分析
包含PD-L1检测指导纳武利尤单抗治疗晚期NSCLC成本效益分析的表格数据。

基本信息
资源简介
表4_PD-L1检测指导纳武利尤单抗作为晚期NSCLC二线治疗的策略:在中国的一项成本效益分析
【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 14.85 KB,主题涵盖 cost-effectiveness、NSCLC、nivolumab、PD-L1 test、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_4_PD-L1 Test-Based Strategy With Nivolumab as the Second-Line Treatment in Advanced NSCLC: A Cost-Effectiveness Analysis in China.doc》。配套论文《Nivolumab Versus Docetaxel for Previously Treated Advanced Non-Small Cell Lung Cancer in China: A Cost-Effectiveness Analysis》发表于 Clinical Drug Investigation(2019),DOI:10.1007/s40261-019-00869-3。源站首次发布:2021-12-13。
【数据内容】
源站原始描述:ObjectiveOur previous economic assessment found that nivolumab was not cost-effective for Chinese patients with advanced non-small cell lung cancer (NSCLC) and without EGFR mutations or ALK translocations, when compared with the standard second-line drug docetaxel. However, a greater survival benefit with nivolumab was observed for patients with 1% or greater tumor programmed death ligand 1 (PD-L1) expression. In view of this, we designed the present analysis to explore whether it is cost-effect…
【数据结构与技术规格】
文件数 1 个,合计 14.85 KB。Table_4_PD-L1 Test-Based Strategy With Nivolumab as the Second-Line Treatment in Advanced NSCLC: A Cost-Effectiveness Analysis in China.doc:application/msword,14.85 KB。数据集 DOI:10.3389/fonc.2021.745493.s005。
【主题与分类】
源站学科分类:Cancer、Haematological Tumours、Molecular Targets、Radiation Therapy、Oncology and Carcinogenesis not elsewhere classified、Solid Tumours。主题标签:cost-effectiveness、NSCLC、nivolumab、PD-L1 test、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_4_PD-L1_Test-Based_Strategy_With_Nivolumab_as_the_Second-Line_Treatment_in_Advanced_NSCLC_A_Cost-Effectiveness_Analysis_in_China_doc/17169443
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Liu, Qiao; Luo, Xia; Zhou, Zhen; Peng, Liubao; Yi, Lidan; Wan, Xiaomin; et al. (2021). Table_4_PD-L1 Test-Based Strategy With Nivolumab as the Second-Line Treatment in Advanced NSCLC: A Cost-Effectiveness Analysis in China.doc. Frontiers. Dataset
【使用注意】
· 源站最后修改于 2023-05-31,引用时请注意版本时效。
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)
- 源站标题:Table_4_PD-L1 Test-Based Strategy With Nivolumab as the Second-Line Treatment in Advanced NSCLC: A Cost-Effectiveness Analysis in China.doc
- DOI:10.3389/fonc.2021.745493.s005
- 发布日期:2021-12-13
- 文件数:1 个
- 文件总体积:14.85 KB
- 源站页面:https://frontiersin.figshare.com/articles/dataset/Table_4_PD-L1_Test-Based_Strategy_With_Nivolumab_as_the_Second-Line_Treatment_in_Advanced_NSCLC_A_Cost-Effectiveness_Analysis_in_China_doc/17169443
命令行下载
curl -L -o "Table_4_PD-L1 Test-Based Strategy With Nivolumab as the Second-Line Treatment in Advanced NSCLC: A Cost-Effectiveness Analysis in China.doc" "https://ndownloader.figshare.com/files/31746452"
文件清单
Table_4_PD-L1 Test-Based Strategy With Nivolumab as the Second-Line Treatment in Advanced NSCLC: A Cost-Effectiveness Analysis in China.doc(14.85 KB)
文件总体积 14.85 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
ObjectiveOur previous economic assessment found that nivolumab was not cost-effective for Chinese patients with advanced non-small cell lung cancer (NSCLC) and without EGFR mutations or ALK translocations, when compared with the standard second-line drug docetaxel. However, a greater survival benefit with nivolumab was observed for patients with 1% or greater tumor programmed death ligand 1 (PD-L1) expression. In view of this, we designed the present analysis to explore whether it is cost-effective to use the PD-L1 test to guide second-line nivolumab treatment in China.
Material and MethodsA Markov model was established to project the lifetime costs and quality-adjusted life-years (QALYs) of three second-line treatment strategies: nivolumab and docetaxel (strategies without a PD-L1 test) and PD-L1 test-based strategy. Deterministic and probabilistic sensitivity analyses were performed to examine the robustness of our results. Additional price reduction and willingness-to-pay (WTP) threshold scenario analyses were performed to explore the impact of economic and health policies with Chinese characteristics on our results.
ResultsThe PD-L1 test-based strategy costs approximately CNY 194,607 (USD 28,210) or more and yielded an additional 0.27 QALYs compared to the docetaxel strategy without a PD-L1 test, equating an incremental cost-effectiveness ratio (ICER) of CNY 731,089 (USD 105,978)/QALY. Deterministic sensitivity analyses showed that the price of nivolumab was the strongest source of variation in the ICERs. Probability sensitivity analysis showed that the probability for the PD-L1 test-based strategy being cost-effective increases with the increase of WTP thresholds.
ConclusionFrom the perspective of the Chinese healthcare system, using a PD-L1 test to guide second-line nivolumab treatment was not cost-effective. The National Healthcare Security Administration negotiation on the price reduction of nivolumab was found to be the most effective action to improve its cost-effectiveness in China.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.3389/fonc.2021.745493.s005(source: https://frontiersin.figshare.com/articles/dataset/Table_4_PD-L1_Test-Based_Strategy_With_Nivolumab_as_the_Second-Line_Treatment_in_Advanced_NSCLC_A_Cost-Effectiveness_Analysis_in_China_doc/17169443)。
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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