血友病成本效果建模研究的系统综述
血友病治疗成本效果建模研究的系统综述数据集,包含32项研究,分析多种治疗策略的成本效果及偏倚风险。

基本信息
资源简介
血友病成本效果建模研究的系统综述
【一句话概览】
本数据集是 figshare 公开的文本数据集,收录 2 个文件、合计 300.22 KB,主题涵盖 cost-effectiveness analysis、haemophilia A、haemophilia B、economics、pharmaceutical,可用于医学自然语言处理(实体识别、信息抽取等),CC BY 4.0 许可开放获取。
【数据集背景】
本数据集源站标题为《Systematic review of cost-effectiveness modelling studies for haemophilia》。配套论文《Systematic review of cost-effectiveness modelling studies for haemophilia》发表于 Journal of Medical Economics(2025),DOI:10.1080/13696998.2024.2444157。项目资助方:This study received no additional funding.。源站首次发布:2024-12-18。
【数据内容】
源站原始描述:Haemophilia is a rare genetic disease that hinders blood clotting. We aimed to review model-based cost-effectiveness analyses (CEAs) of haemophilia treatments, describe the sources of clinical evidence used by these CEAs, summarize the reported cost-effectiveness of different treatment strategies, and assess the quality and risk of bias. We conducted a systematic literature review of model-based CEAs of haemophilia treatments by searching databases, the Tufts Medical Center CEA registry, and gre…
【数据结构与技术规格】
文件数 2 个,合计 300.22 KB。ijme_a_2444157_sm7764.xlsx:application/vnd.openxmlformats-officedocument.spreadsheetml.sheet,187.26 KB。ijme_a_2444157_sm7763.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,112.95 KB。数据集 DOI:10.6084/m9.figshare.28057331.v1。
【主题与分类】
源站学科分类:Medicine、Pharmacology、Chemical Sciences not elsewhere classified、Ecology、Sociology、Biological Sciences not elsewhere classified。主题标签:cost-effectiveness analysis、haemophilia A、haemophilia B、economics、pharmaceutical、systematic review、I18、H51。
【适用方向】
文本类数据可用于医学自然语言处理,如命名实体识别、信息抽取与文本分类。
【获取与许可】
源站页面:https://tandf.figshare.com/articles/dataset/Systematic_review_of_cost-effectiveness_modelling_studies_for_haemophilia/28057331
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Systematic review of cost-effectiveness modelling studies for haemophilia. Taylor & Francis. Meier, Niklaus; Ammann, Daniel; Pletscher, Mark; Probst, Jano; Schwenkglenks, Matthias
【使用注意】
· 源站最后修改于 2026-01-21,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:Systematic review of cost-effectiveness modelling studies for haemophilia
- DOI:10.6084/m9.figshare.28057331.v1
- 发布日期:2024-12-18
- 文件数:2 个
- 文件总体积:300.22 KB
- 源站页面:https://tandf.figshare.com/articles/dataset/Systematic_review_of_cost-effectiveness_modelling_studies_for_haemophilia/28057331
命令行下载
curl -L -o "ijme_a_2444157_sm7764.xlsx" "https://ndownloader.figshare.com/files/51284777"
curl -L -o "ijme_a_2444157_sm7763.docx" "https://ndownloader.figshare.com/files/51284780"
文件清单
ijme_a_2444157_sm7764.xlsx(187.26 KB)ijme_a_2444157_sm7763.docx(112.95 KB)
文件总体积 300.22 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
Haemophilia is a rare genetic disease that hinders blood clotting. We aimed to review model-based cost-effectiveness analyses (CEAs) of haemophilia treatments, describe the sources of clinical evidence used by these CEAs, summarize the reported cost-effectiveness of different treatment strategies, and assess the quality and risk of bias.
We conducted a systematic literature review of model-based CEAs of haemophilia treatments by searching databases, the Tufts Medical Center CEA registry, and grey literature. We summarized and qualitatively synthesized the approaches and results of the included CEAs, without a meta-analysis due the diversity of the studies.
32 eligible studies were performed in 12 countries and reported 53 pairwise comparisons. Most studies analysed patients with haemophilia A rather than haemophilia B. Comparisons of prophylactic versus on-demand treatment indicated that prophylaxis may not be cost-effective, but there was no clear consensus. Emicizumab was generally cost-effective compared with clotting factor treatments and was always dominant for patients with inhibitors. Immune tolerance induction following a Malmö protocol was found to be cost-effective compared to bypassing agents, while there was no consensus for the other protocols. Gene therapies as well as treatment with extended half-life coagulation factors were always cost-effective over their comparators. Studies were highly heterogenous regarding their time horizons, model structures, the inclusion of bleeding-related mortality and quality-of-life impacts. This heterogeneity limited the comparability of the studies. 19 of the 32 included studies received industry funding, which may have biased their results.
It was not possible to perform a quantitative synthesis of the results due to the heterogeneity of the underlying studies.
Differences in results between previous CEAs may have been driven by heterogeneity in modelling approaches, clinical input data, and potential funding biases. A more consistent evidence base and modelling approach would enhance the comparability between CEAs.
Haemophilia is a rare genetic disease that hinders blood clotting. Patients with haemophilia
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.6084/m9.figshare.28057331.v1(source: https://tandf.figshare.com/articles/dataset/Systematic_review_of_cost-effectiveness_modelling_studies_for_haemophilia/28057331)。
数据缺失?
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