血糖仪与生化分析仪对比:结果可比且临床风险可忽略
评估Roche Accu-Chek Inform II血糖仪可靠性的6,695对血糖测量数据,包含毛细血管与静脉血结果,用于性能分析和临床风险评价。

基本信息
资源简介
血糖仪与生化分析仪对比:结果可比且临床风险可忽略
【一句话概览】
本数据集是 figshare 公开的结构化表格数据集,收录 2 个文件、合计 1.17 MB,主题涵盖 Blood glucose、blood glucose analysis、hospitals、surveillance error grid、post-marketing product surveillance,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《Glucometer versus analyzer: comparable results with negligible clinical risk》。配套论文《Glucometer versus analyzer: comparable results with negligible clinical risk》发表于 Scandinavian Journal of Clinical and Laboratory Investigation(2025),DOI:10.1080/00365513.2025.2456917。源站首次发布:2025-02-19。
【数据内容】
源站原始描述:This study assessed the reliability of Roche Accu-Chek Inform II glucometers in a real-world setting. A retrospective analysis was conducted on 6,695 paired results. Capillary samples were tested using Roche Accu-Chek Inform II glucometers, while venous samples were analyzed using Roche Cobas c503/702 analyzers. Compliance was assessed using modified criteria based on the ISO 15197 guideline and the CLSI EP09-A3 guideline using Passing-Bablok regression analysis, Bland-Altman plots, and Surveill…
【数据结构与技术规格】
文件数 2 个,合计 1.17 MB。iclb_a_2456917_sm8647.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,442.40 KB。iclb_a_2456917_sm8646.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,723.24 KB。数据集 DOI:10.6084/m9.figshare.28445421.v1。
【主题与分类】
源站学科分类:Space Science、Medicine、Biotechnology、Environmental Sciences not elsewhere classified、Chemical Sciences not elsewhere classified、Biological Sciences not elsewhere classified。主题标签:Blood glucose、blood glucose analysis、hospitals、surveillance error grid、post-marketing product surveillance。
【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://tandf.figshare.com/articles/dataset/Glucometer_versus_analyzer_comparable_results_with_negligible_clinical_risk/28445421
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Glucometer versus analyzer: comparable results with negligible clinical risk. Taylor & Francis. Gümüş, Alper; Coşkun, Cihan; Uçar, Kamil Taha; Erdin, İbrahim; Tek, Semih; Evran, Betül; et al
【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:Glucometer versus analyzer: comparable results with negligible clinical risk
- DOI:10.6084/m9.figshare.28445421.v1
- 发布日期:2025-02-19
- 文件数:2 个
- 文件总体积:1.17 MB
- 源站页面:https://tandf.figshare.com/articles/dataset/Glucometer_versus_analyzer_comparable_results_with_negligible_clinical_risk/28445421
命令行下载
curl -L -o "iclb_a_2456917_sm8647.docx" "https://ndownloader.figshare.com/files/52473918"
curl -L -o "iclb_a_2456917_sm8646.docx" "https://ndownloader.figshare.com/files/52473921"
文件清单
iclb_a_2456917_sm8647.docx(442.40 KB)iclb_a_2456917_sm8646.docx(723.24 KB)
文件总体积 1.17 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
This study assessed the reliability of Roche Accu-Chek Inform II glucometers in a real-world setting. A retrospective analysis was conducted on 6,695 paired results. Capillary samples were tested using Roche Accu-Chek Inform II glucometers, while venous samples were analyzed using Roche Cobas c503/702 analyzers. Compliance was assessed using modified criteria based on the ISO 15197 guideline and the CLSI EP09-A3 guideline using Passing-Bablok regression analysis, Bland-Altman plots, and Surveillance Error Grid (SEG) analysis. The overall compliance of glucometer results within ±15% or 0.83 mmol/L (15 mg/dL) of the reference method was 81.5%, below the acceptance criterion of 94.6%. SEG analysis showed that 90.3% of the paired results fell within the No-risk zone, with less than 0.001% in the moderate/lower-risk zone. The Emergency Department results indicated 87.8% overall compliance and 92.2% of pairs falling in the No-risk zone. Based on the regression analysis, the glucometer results showed a positive constant bias of nearly 0.33 mmol/L (6 mg/dL). The Bland-Altman plots showed a positive mean difference of 0.43 mmol/L for results ≤5.55 mmol/L (≤100 mg/dL) and a positive mean percentage difference of 3.77% for results >5.55 mmol/L (>100 mg/dL), within the permissible deviation. The compliance values ranged from 76.0% to 90.3% for clinical concentration groups, with the highest compliance found between >16.65–22.20 mmol/L (>300–400 mg/dL). The Accu-Chek Inform II glucometers demonstrated in real-world reliability, with most results falling within acceptable risk categories. However, compliance still needs improvement, so manufacturers should assess opportunities for advancement.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.6084/m9.figshare.28445421.v1(source: https://tandf.figshare.com/articles/dataset/Glucometer_versus_analyzer_comparable_results_with_negligible_clinical_risk/28445421)。
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