使用小梁微旁路植入物iStent inject®预防青光眼进展:一项成本效益分析

该数据集提供了巴西SUS中iStent inject®植入物治疗开角型青光眼的成本效益分析模型参数及结果。

Figshare
2021-05-01 更新
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表格Glaucomaopen-angleGlaucoma/surgeryCosts and cost analysisCost-effectiveness
Preventing glaucoma progression using the trabecular micro-bypass implant iStent inject®. A cost-effectiveness analysis

基本信息

模态
表格
大小
0.013874589 GB
许可
CC BY 4.0
创建/更新时间
2021-05-01
版本
v1

资源简介

使用小梁微旁路植入物iStent inject®预防青光眼进展:一项成本效益分析

【数据集背景】

本数据集源站标题为《Preventing glaucoma progression using the trabecular micro-bypass implant iStent inject®. A cost-effectiveness analysis》。配套论文《Preventing glaucoma progression using the trabecular micro-bypass implant iStent inject®. A cost-effectiveness analysis》发表于 Revista Brasileira de Oftalmologia(2021),DOI:10.37039/1982.8551.20210014。源站首次发布:2022-05-30。

【数据内容】

源站原始描述:ABSTRACT Objective To assess the economic impact of reducing glaucoma progression by using the trabecular micro-bypass implant, iStent inject®, in the Reference Centers for glaucoma treatment within the Brazilian Public Unified Health System (SUS). Methods In a cost-effectiveness analysis, a Markov model was developed, and the costs were obtained from the SUS perspective (medical direct costs). Effectiveness was measured in progression-free life-years. The time horizon was the mean life expectan…

【数据结构与技术规格】

文件数 10 个,合计 13.87 MB。数据集 DOI:10.6084/m9.figshare.19928719.v1。

【主题与分类】

源站学科分类:Ophthalmology。主题标签:Glaucoma, open-angle、Glaucoma/surgery、Costs and cost analysis、Cost-effectiveness。

【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://scielo.figshare.com/articles/dataset/Preventing_glaucoma_progression_using_the_trabecular_micro-bypass_implant_iStent_inject_A_cost-effectiveness_analysis/19928719

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

规范引用:Paletta Guedes, Ricardo Augusto; Pepe, Camila; Dias, Leticia; Murta, Laura; Gravina, Daniela Marcelo; Chaoubah, Alfredo (2021). Preventing glaucoma progression using the trabecular micro-bypass implant iStent inject®. A cost-effectiveness analysis. SciELO journals. Dataset

【使用注意】

· 源站最后修改于 2023-06-01,引用时请注意版本时效。

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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 "01f289e8e013125c109fdc077ec47a4e8793fb64.tif" "https://ndownloader.figshare.com/files/35439568"
curl -L -o "b03d531f4c538a2895cbdf0a268b64d76eec05c0.png" "https://ndownloader.figshare.com/files/35439571"
curl -L -o "9c8d6d4d8515fb45b0a73fd02164a0fa209b4e80.jpg" "https://ndownloader.figshare.com/files/35439574"
curl -L -o "d932d2943b58a8b597b5e3a2e801743a81cb5fd0.tif" "https://ndownloader.figshare.com/files/35439577"
curl -L -o "0163275caacbfeafdd29556160d68d804bf622b3.png" "https://ndownloader.figshare.com/files/35439580"
curl -L -o "8a3ea2b0e7f5399ff07b0f5f063fb5e9fe21478c.jpg" "https://ndownloader.figshare.com/files/35439583"
curl -L -o "Table_1.xls" "https://ndownloader.figshare.com/files/35439586"
curl -L -o "Table_2.xls" "https://ndownloader.figshare.com/files/35439589"

文件清单

  • 01f289e8e013125c109fdc077ec47a4e8793fb64.tif(4.58 MB)
  • b03d531f4c538a2895cbdf0a268b64d76eec05c0.png(262.81 KB)
  • 9c8d6d4d8515fb45b0a73fd02164a0fa209b4e80.jpg(4.32 KB)
  • d932d2943b58a8b597b5e3a2e801743a81cb5fd0.tif(8.67 MB)
  • 0163275caacbfeafdd29556160d68d804bf622b3.png(327.43 KB)
  • 8a3ea2b0e7f5399ff07b0f5f063fb5e9fe21478c.jpg(2.94 KB)
  • Table_1.xls(9.73 KB)
  • Table_2.xls(5.63 KB)
  • Table_3.xls(5.63 KB)
  • Table_4.xls(5.63 KB)

文件总体积 13.87 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

ABSTRACT Objective To assess the economic impact of reducing glaucoma progression by using the trabecular micro-bypass implant, iStent inject®, in the Reference Centers for glaucoma treatment within the Brazilian Public Unified Health System (SUS). Methods In a cost-effectiveness analysis, a Markov model was developed, and the costs were obtained from the SUS perspective (medical direct costs). Effectiveness was measured in progression-free life-years. The time horizon was the mean life expectancy of the Brazilian population. The model parameters were obtained through a review and a critical analysis of the literature. The base case comprised a hypothetical cohort of patients with open-angle glaucoma, using anti-glaucoma eye drops and followed up at Reference Centers of SUS. We tested whether the incorporation of iStent inject® as an alternative second-line therapy would be cost-effective. The outcome measure was the incremental cost-effectiveness ratio (R$/progression-free life-years). We tested the robustness of the model by univariate and probabilistic sensitivity analyses. Results The use of iStent inject® led to decreased progression rate of glaucoma, evidenced by the amount of progression-free life-years obtained with each treatment strategy (7.82 progression-free life-years with iStent inject® versus 6.33 progression-free life-years with medical treatment), thereby improving glaucoma control. There was also a reduction in future costs associated with eye drops, filtering surgeries, and treatment complications. Incremental cost-effectiveness ratio ranged from R$ 6,429.30 to R$ 7,550.97/progression-free life-years. The model proved to be robust in the sensitivity analyses. Conclusion This analysis showed that iStent inject®, when used after the failure of the first-line therapy, is able to reduce the rate of glaucoma progression at an acceptable cost.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.19928719.v1(source: https://scielo.figshare.com/articles/dataset/Preventing_glaucoma_progression_using_the_trabecular_micro-bypass_implant_iStent_inject_A_cost-effectiveness_analysis/19928719)。

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