糖尿病研究标准化疾病测量指标（表1）
基于全球专家共识确定的2型糖尿病研究标准化核心测量指标表格数据集。
基本信息
资源简介
糖尿病研究标准化疾病测量指标（表1）
【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 40.69 KB，主题涵盖 type 2 diabetes、cross-contextual research、disease-related measures、standardization、consensus，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《Table 1_Standardized disease-related measures in diabetes research: results from a global consensus process.docx》。配套论文《Reducing global diabetes burden by implementing solutions and identifying gaps: a Lancet Commission》发表于 The Lancet（2016），DOI：10.1016/S0140-6736%2816%2930165-9。源站首次发布：2025-07-28。
【数据内容】
源站原始描述：BackgroundA lack of disease-related consensus measures for type 2 diabetes interventions is a barrier to comparing interventions across various contexts, as well as to implementation and scale-up. This study aimed to use an expert consensus approach to select disease-related measures for type 2 diabetes to facilitate cross-contextual research, as well as the implementation and scaling-up of initiatives. MethodsThe study was conducted using a two-phased cross-sectional design consisting of an onl…
【数据结构与技术规格】
文件数 1 个，合计 40.69 KB。Table 1_Standardized disease-related measures in diabetes research: results from a global consensus process.docx：application/vnd.openxmlformats-officedocument.wordprocessingml.document，40.69 KB。数据集 DOI：10.3389/fpubh.2025.1580416.s001。
【主题与分类】
源站学科分类：Public Health and Health Services not elsewhere classified。主题标签：type 2 diabetes、cross-contextual research、disease-related measures、standardization、consensus、implementation research。
【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://frontiersin.figshare.com/articles/dataset/Table_1_Standardized_disease-related_measures_in_diabetes_research_results_from_a_global_consensus_process_docx/29655773
使用许可：CC BY 4.0（https://creativecommons.org/licenses/by/4.0/）。
规范引用：Daivadanam, Meena; Annerstedt, Kristi Sidney; Vedanthan, Rajesh; Maple-Brown, Louise; Parker, Gary; Ingram, Maia; et al. (2025). Table 1_Standardized disease-related measures in diabetes research: results from a global consensus process.docx. Frontiers. 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：Table 1_Standardized disease-related measures in diabetes research: results from a global consensus process.docx
- DOI：10.3389/fpubh.2025.1580416.s001
- 发布日期：2025-07-28
- 文件数：1 个
- 文件总体积：40.69 KB
- 源站页面：https://frontiersin.figshare.com/articles/dataset/Table_1_Standardized_disease-related_measures_in_diabetes_research_results_from_a_global_consensus_process_docx/29655773
命令行下载
curl -L -o "Table 1_Standardized disease-related measures in diabetes research: results from a global consensus process.docx" "https://ndownloader.figshare.com/files/56601986"
文件清单
Table 1_Standardized disease-related measures in diabetes research: results from a global consensus process.docx（40.69 KB）
文件总体积 40.69 KB（源站 API 实测）。
数据说明
BackgroundA lack of disease-related consensus measures for type 2 diabetes interventions is a barrier to comparing interventions across various contexts, as well as to implementation and scale-up. This study aimed to use an expert consensus approach to select disease-related measures for type 2 diabetes to facilitate cross-contextual research, as well as the implementation and scaling-up of initiatives.
MethodsThe study was conducted using a two-phased cross-sectional design consisting of an online survey among research experts in 17 diabetes projects working in a global context, followed by an online modified Delphi panel comprised of reviewers with domain-specific expertise from different income settings who were not survey participants.
ResultsOut of 153 measures from 11 domains assessed, 49 were classified as core, 58 as optional, and 46 were excluded. The domains and measures spanned several categories, including demographics, medical history, medication adherence, health behaviors, anthropometric measures, biochemical measures, and quality-of-life-related issues.
ConclusionThe core dataset of selected measures in type 2 diabetes may provide a standardized approach for determining which data should be collected. This can facilitate transnational comparisons between or within implementation projects to advance global diabetes research.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.3389/fpubh.2025.1580416.s001（source: https://frontiersin.figshare.com/articles/dataset/Table_1_Standardized_disease-related_measures_in_diabetes_research_results_from_a_global_consensus_process_docx/29655773）。
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