类风湿关节炎患者减量生物疾病改善抗风湿药物的成本效用分析

类风湿关节炎患者减量bDMARDs的成本效用分析数据集,包含Markov模型参数、成本、QALYs及敏感性分析结果。

Figshare
2020-01-02 更新
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表格doseProbabilistic sensitivity analysisRAQALYapproachTaperingde-escalatingi.eICERsavingbDMARD treatmentincr
Cost-utility analysis of de-escalating biological disease-modifying anti-rheumatic drugs in patients with rheumatoid arthritis

基本信息

模态
表格
大小
0.000136737 GB
许可
CC BY 4.0
创建/更新时间
2020-01-02
版本
v1

资源简介

类风湿关节炎患者减量生物疾病改善抗风湿药物的成本效用分析

【数据集背景】

本数据集源站标题为《Cost-utility analysis of de-escalating biological disease-modifying anti-rheumatic drugs in patients with rheumatoid arthritis》。配套论文《Cost-utility analysis of de-escalating biological disease-modifying anti-rheumatic drugs in patients with rheumatoid arthritis》发表于 PLOS ONE(2020),DOI:10.1371/journal.pone.0226754。源站首次发布:2020-01-02。

【数据内容】

源站原始描述:Objective Recent guideline updates have suggested de-escalating DMARDs when patients with rheumatoid arthritis achieve remission or low disease activity. We aim to evaluate whether it is cost-effective to de-escalate the biological form of DMARDs (bDMARDs). Methods Using a Markov model, we performed a cost-utility analysis for RA patients on bDMARD treatment. We compared continuing treatment (standard care) to a tapering approach (i.e., an immediate 50% dose reduction), withdrawal (i.e., an imme…

文件 pone.0226754.s003.R 为文本内容,开头为:install.packages("dplyr") install.packages("diagram") install.packages("heemod") install.packages("ggplot2") install.packages("xlsx") library(dplyr) li…

【数据结构与技术规格】

文件数 6 个,合计 136.74 KB。pone.0226754.s001.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,21.87 KB。pone.0226754.s002.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,30.51 KB。pone.0226754.s003.R:text/plain,67.18 KB。数据集 DOI:10.1371/journal.pone.0226754。

【主题与分类】

源站学科分类:Medicine、Cell Biology、Biotechnology、Ecology、Science Policy、Infectious Diseases。主题标签:dose、Probabilistic sensitivity analysis、RA、QALY、approach、Tapering、de-escalating、i.e、ICER、saving。

【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://plos.figshare.com/articles/dataset/Cost-utility_analysis_of_de-escalating_biological_disease-modifying_anti-rheumatic_drugs_in_patients_with_rheumatoid_arthritis/11495397

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

规范引用:Birkner, Benjamin; Rech, Jürgen; Stargardt, Tom (2020). Cost-utility analysis of de-escalating biological disease-modifying anti-rheumatic drugs in patients with rheumatoid arthritis. PLOS ONE. Dataset

【使用注意】

· 源站最后修改于 2023-06-04,引用时请注意版本时效。

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 "pone.0226754.s001.docx" "https://ndownloader.figshare.com/files/20549994"
curl -L -o "pone.0226754.s002.docx" "https://ndownloader.figshare.com/files/20549997"
curl -L -o "pone.0226754.s003.R" "https://ndownloader.figshare.com/files/20550000"
curl -L -o "pone.0226754.s004.R" "https://ndownloader.figshare.com/files/20550003"
curl -L -o "pone.0226754.s005.R" "https://ndownloader.figshare.com/files/20550006"
curl -L -o "pone.0226754.s006.R" "https://ndownloader.figshare.com/files/20550009"

文件清单

  • pone.0226754.s001.docx(21.87 KB)
  • pone.0226754.s002.docx(30.51 KB)
  • pone.0226754.s003.R(67.18 KB)
  • pone.0226754.s004.R(5.05 KB)
  • pone.0226754.s005.R(5.05 KB)
  • pone.0226754.s006.R(7.08 KB)

文件总体积 136.74 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

Objective
Recent guideline updates have suggested de-escalating DMARDs when patients with rheumatoid arthritis achieve remission or low disease activity. We aim to evaluate whether it is cost-effective to de-escalate the biological form of DMARDs (bDMARDs).
Methods
Using a Markov model, we performed a cost-utility analysis for RA patients on bDMARD treatment. We compared continuing treatment (standard care) to a tapering approach (i.e., an immediate 50% dose reduction), withdrawal (i.e., an immediate 100% dose reduction) and tapering followed by withdrawal of bDMARDs. The parametrization is based on a comprehensive literature review. Results were computed for 30 years with a cycle length of three months. We applied the payer’s perspective for Germany and conducted deterministic and probabilistic sensitivity analyses.
Results
Tapering or withdrawing bDMARD treatment resulted in ICERs of €526,254 (incr. costs -78,845, incr. QALYs -0.1498) or €216,879 (incr. costs -€121,691, incr. QALYs -0.5611) compared to standard care. Tapering followed by withdrawal resulted in a loss of 0.4354 QALYs and savings of €107,969 per patient, with an ICER of €247,987. Deterministic sensitivity analysis revealed that our results remained largely unaffected by parameter changes. Probabilistic sensitivity analysis suggests that tapering, withdrawal and tapering followed by withdrawal were dominant in 39.8%, 28.2% and 29.0% of 10,000 iterations.
Conclusion
Our findings suggest that de-escalating bDMARDs in patients with RA may result in high cost savings but also a decrease in quality of life compared to standard care. If decision makers choose to implement de-escalation in daily practice, our results suggest the tapering approach.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0226754(source: https://plos.figshare.com/articles/dataset/Cost-utility_analysis_of_de-escalating_biological_disease-modifying_anti-rheumatic_drugs_in_patients_with_rheumatoid_arthritis/11495397)。

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。

⚡️ 需要数据支持或标注服务?立即联系我们获取专业方案。

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