Glucometer versus analyzer: comparable results with negligible clinical risk

包含6695对血糖仪与生化分析仪配对结果的数据集,用于评估血糖仪在真实世界中的可靠性和临床风险。

Taylor & FrancisTaylor & Francis
DataCite Commons
2026-01-21 更新
浏览 16
表格Blood glucoseblood glucose analysishospitalssurveillance error gridpost-marketing product surveillance
Glucometer versus analyzer: comparable results with negligible clinical risk

基本信息

模态
表格
大小
0.001165641 GB
许可
CC BY 4.0
创建/更新时间
2026-01-21
版本
v1

资源简介

Glucometer versus analyzer: comparable results with negligible clinical risk

【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】

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。

官方服务

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⚡️ 需要原始数据或标注支持?联系我们获取定制方案。

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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

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。

免费样本无法满足模型训练要求?千方提供经三甲医院脱敏、带病理回证与专家标注的商业级专病数据集。

使用方式

数据集获取(Figshare)

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)。

需要用于商业化训练或医疗器械注册(NMPA/FDA)?

公开数据往往缺乏完整的病理回证与专家标注。千方医数集依托陕川双基地与超十家三甲医院直连,提供完全合规、去标识化、支持注册级质控的专病数据集交易服务。