模型输入参数（蛛网膜下腔出血重复延迟成像成本效果模型）
包含蛛网膜下腔出血初次影像阴性后重复延迟成像成本效果马尔可夫模型的输入参数。
基本信息
资源简介
模型输入参数（蛛网膜下腔出血重复延迟成像成本效果模型）
【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 13.82 KB，主题涵盖 spontaneous subarachnoid hemorrhage、repeat delayed imaging、intracranial aneurysm presenting、initial diagnostic imaging、sah ), 15，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《Model input parameters.》。源站首次发布：2023-07-26。
【数据内容】
源站原始描述：Background In patients with intracranial aneurysm presenting with spontaneous subarachnoid hemorrhage (SAH), 15% of them could be missed by the initial diagnostic imaging. Repeat delayed imaging can help to identify previously undetected aneurysms, however, the cost-effectiveness of this strategy remains uncertain. Objective The aim of this study is to assess the cost-effectiveness of repeat delayed imaging in patients with SAH who had a negative result during their initial imaging. Methods A Ma…
【数据结构与技术规格】
文件数 1 个，合计 13.82 KB。Table 1.xls：application/vnd.ms-excel，13.82 KB。数据集 DOI：10.1371/journal.pone.0289144.t001。
【主题与分类】
源站学科分类：Medicine、Cell Biology、Biotechnology、Biological Sciences not elsewhere classified、Science Policy、Infectious Diseases。主题标签：spontaneous subarachnoid hemorrhage、repeat delayed imaging、intracranial aneurysm presenting、initial diagnostic imaging、sah ), 15、000 per qaly、extensive sensitivity analyses、pay threshold、negative result、national institute。
【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/Model_input_parameters_/23784622
使用许可：CC BY 4.0（https://creativecommons.org/licenses/by/4.0/）。
规范引用：Shang, Wenru; Jin, Huajie; Vastani, Amisha; Mirza, Asfand Baig; Fisher, Benjamin; Kalra, Neeraj; et al. (2023). Model input parameters.. PLOS ONE. Dataset
下载信息
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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：Model input parameters.
- DOI：10.1371/journal.pone.0289144.t001
- 发布日期：2023-07-26
- 文件数：1 个
- 文件总体积：13.82 KB
- 源站页面：https://plos.figshare.com/articles/dataset/Model_input_parameters_/23784622
命令行下载
curl -L -o "Table 1.xls" "https://ndownloader.figshare.com/files/41718943"
文件清单
Table 1.xls（13.82 KB）
文件总体积 13.82 KB（源站 API 实测）。
数据说明
Background
In patients with intracranial aneurysm presenting with spontaneous subarachnoid hemorrhage (SAH), 15% of them could be missed by the initial diagnostic imaging. Repeat delayed imaging can help to identify previously undetected aneurysms, however, the cost-effectiveness of this strategy remains uncertain.
Objective
The aim of this study is to assess the cost-effectiveness of repeat delayed imaging in patients with SAH who had a negative result during their initial imaging.
Methods
A Markov model was developed to estimate the lifetime costs and quality-adjusted life-year (QALY) for patients who received or not received repeat delayed imaging. The analyses were conducted from a healthcare perspective, with costs reported in UK pounds and expressed in 2020 values. Extensive sensitivity analyses were performed to assess the robustness of the results.
Results
The base case incremental cost-effectiveness ratio (ICER) of repeat delayed imaging is £9,314 per QALY compared to no-repeat delayed imaging. This ICER is below the National Institute for Health and Care Excellence (NICE) £20,000 per QALY willingness-to-pay threshold. At the NICE willingness-to-pay threshold of £20,000 per QALY, the probability that repeat delayed imaging is most cost-effective is 0.81. The results are sensitive to age, the utility of survived patients with a favorable outcome, the sensitivity of repeat delayed imaging, and the prevalence of aneurysm.
Conclusions
This study showed that, in the UK, it is cost-effective to provide repeat delayed imaging using computed tomographic angiography (CTA) for patients with SAH who had a negative result in their initial imaging.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pone.0289144.t001（source: https://plos.figshare.com/articles/dataset/Model_input_parameters_/23784622）。
数据缺失？
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