日本糖尿病视网膜病变筛查的成本效用分析：一项概率性马尔可夫建模研究

数据集获取（Figshare）

• 源站标题：Cost-utility Analysis of Screening for Diabetic Retinopathy in Japan: A Probabilistic Markov Modeling Study
• DOI：10.6084/m9.figshare.12200906.v1
• 发布日期：2020-04-27
• 文件数：2 个
• 文件总体积：527.61 KB
• 源站页面：https://tandf.figshare.com/articles/dataset/Cost-utility_Analysis_of_Screening_for_Diabetic_Retinopathy_in_Japan_A_Probabilistic_Markov_Modeling_Study/12200906

命令行下载

curl -L -o "1311_H084_DR_Screening_Cost_Utility_2014_03_07_Supple_Figure.pdf" "https://ndownloader.figshare.com/files/22438964"
curl -L -o "1311_H084_DR_Screening_Cost_Utility_2014_03_07_Supple_Tables_v2_with_Reference_Renumbered.pdf" "https://ndownloader.figshare.com/files/22438967"

文件清单

• 1311_H084_DR_Screening_Cost_Utility_2014_03_07_Supple_Figure.pdf（382.50 KB）
• 1311_H084_DR_Screening_Cost_Utility_2014_03_07_Supple_Tables_v2_with_Reference_Renumbered.pdf（145.11 KB）

文件总体积 527.61 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

Purpose: To evaluate the cost-effectiveness for a screening interval longer than 1 year detecting diabetic retinopathy (DR) through the estimation of incremental costs per quality-adjusted life year (QALY) based on the best available clinical data in Japan.
Methods: A Markov model with a probabilistic cohort analysis was framed to calculate incremental costs per QALY gained by implementing a screening program detecting DR in Japan. A 1-year cycle length and population size of 50,000 with a 50-year time horizon (age 40–90 years) was used. Best available clinical data from publications and national surveillance data was used, and a model was designed including current diagnosis and management of DR with corresponding visual outcomes. One-way and probabilistic sensitivity analyses were performed considering uncertainties in the parameters.
Results: In the base-case analysis, the strategy with a screening program resulted in an incremental cost of 5,147 Japanese yen (¥; US$64.6) and incremental effectiveness of 0.0054 QALYs per person screened. The incremental cost-effectiveness ratio was ¥944,981 (US$11,857) per QALY. The simulation suggested that screening would result in a significant reduction in blindness in people aged 40 years or over (−16%). Sensitivity analyses suggested that in order to achieve both reductions in blindness and cost-effectiveness in Japan, the screening program should screen those aged 53–84 years, at intervals of 3 years or less.
Conclusions: An eye screening program in Japan would be cost-effective in detecting DR and preventing blindness from DR, even allowing for the uncertainties in estimates of costs, utility, and current management of DR.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.12200906.v1（source: https://tandf.figshare.com/articles/dataset/Cost-utility_Analysis_of_Screening_for_Diabetic_Retinopathy_in_Japan_A_Probabilistic_Markov_Modeling_Study/12200906）。