英国2型糖尿病血糖控制与治疗差异数据集
基于英格兰164家初级保健诊所的2型糖尿病队列数据,分析种族和社会经济地位对血糖控制、监测和用药差异的影响。

基本信息
资源简介
英国2型糖尿病血糖控制与治疗差异数据集
【数据集背景】
本数据集源站标题为《Disparities in glycaemic control, monitoring, and treatment of type 2 diabetes in England: A retrospective cohort analysis》。配套论文《Disparities in glycaemic control, monitoring, and treatment of type 2 diabetes in England: A retrospective cohort analysis》发表于 PLOS Medicine(2019),DOI:10.1371/journal.pmed.1002942。源站首次发布:2019-10-07。
【数据内容】
源站原始描述:Background Disparities in type 2 diabetes (T2D) care provision and clinical outcomes have been reported in the last 2 decades in the UK. Since then, a number of initiatives have attempted to address this imbalance. The aim was to evaluate contemporary data as to whether disparities exist in glycaemic control, monitoring, and prescribing in people with T2D. Methods and findings A T2D cohort was identified from the Royal College of General Practitioners Research and Surveillance Centre dataset: a…
【数据结构与技术规格】
文件数 9 个,合计 701.85 KB。pmed.1002942.s001.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,35.68 KB。pmed.1002942.s002.pdf:application/pdf,233.59 KB。pmed.1002942.s003.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,13.18 KB。数据集 DOI:10.1371/journal.pmed.1002942。
【主题与分类】
源站学科分类:Biotechnology、Chemical Sciences not elsewhere classified、Biological Sciences not elsewhere classified、Marine Biology、Science Policy、Mental Health。主题标签:care adult population、General Practitioners Research、glycaemic control、Surveillance Centre dataset、1 January 2012、T 2D Methods、body mass index、HbA 1c BP、SGLT 2 inhibitors、31 December 2016。
【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://plos.figshare.com/articles/dataset/Disparities_in_glycaemic_control_monitoring_and_treatment_of_type_2_diabetes_in_England_A_retrospective_cohort_analysis/9945311
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Whyte, Martin B.; Hinton, William; McGovern, Andrew; van Vlymen, Jeremy; Ferreira, Filipa; Calderara, Silvio; et al. (2019). Disparities in glycaemic control, monitoring, and treatment of type 2 diabetes in England: A retrospective cohort analysis. PLOS Medicine. Dataset
【使用注意】
· 源站最后修改于 2023-05-31,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)
- 源站标题:Disparities in glycaemic control, monitoring, and treatment of type 2 diabetes in England: A retrospective cohort analysis
- DOI:10.1371/journal.pmed.1002942
- 发布日期:2019-10-07
- 文件数:9 个
- 文件总体积:701.85 KB
- 源站页面:https://plos.figshare.com/articles/dataset/Disparities_in_glycaemic_control_monitoring_and_treatment_of_type_2_diabetes_in_England_A_retrospective_cohort_analysis/9945311
命令行下载
curl -L -o "pmed.1002942.s001.docx" "https://ndownloader.figshare.com/files/17916698"
curl -L -o "pmed.1002942.s002.pdf" "https://ndownloader.figshare.com/files/17916701"
curl -L -o "pmed.1002942.s003.docx" "https://ndownloader.figshare.com/files/17916704"
curl -L -o "pmed.1002942.s004.docx" "https://ndownloader.figshare.com/files/17916707"
curl -L -o "pmed.1002942.s005.docx" "https://ndownloader.figshare.com/files/17916710"
curl -L -o "pmed.1002942.s006.docx" "https://ndownloader.figshare.com/files/17916713"
curl -L -o "pmed.1002942.s007.pdf" "https://ndownloader.figshare.com/files/17916716"
curl -L -o "pmed.1002942.s008.docx" "https://ndownloader.figshare.com/files/17916719"
文件清单
pmed.1002942.s001.docx(35.68 KB)pmed.1002942.s002.pdf(233.59 KB)pmed.1002942.s003.docx(13.18 KB)pmed.1002942.s004.docx(86.43 KB)pmed.1002942.s005.docx(27.64 KB)pmed.1002942.s006.docx(14.76 KB)pmed.1002942.s007.pdf(180.47 KB)pmed.1002942.s008.docx(78.53 KB)pmed.1002942.s009.docx(31.58 KB)
文件总体积 701.85 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
Background
Disparities in type 2 diabetes (T2D) care provision and clinical outcomes have been reported in the last 2 decades in the UK. Since then, a number of initiatives have attempted to address this imbalance. The aim was to evaluate contemporary data as to whether disparities exist in glycaemic control, monitoring, and prescribing in people with T2D.
Methods and findings
A T2D cohort was identified from the Royal College of General Practitioners Research and Surveillance Centre dataset: a nationally representative sample of 164 primary care practices (general practices) across England. Diabetes healthcare provision and glucose-lowering medication use between 1 January 2012 and 31 December 2016 were studied. Healthcare provision included annual HbA1c, renal function (estimated glomerular filtration rate [eGFR]), blood pressure (BP), retinopathy, and neuropathy testing. Variables potentially associated with disparity outcomes were assessed using mixed effects logistic and linear regression, adjusted for age, sex, ethnicity, and socioeconomic status (SES) using the Index of Multiple Deprivation (IMD), and nested using random effects within general practices. Ethnicity was defined using the Office for National Statistics ethnicity categories: White, Mixed, Asian, Black, and Other (including Arab people and other groups not classified elsewhere). From the primary care adult population (n = 1,238,909), we identified a cohort of 84,452 (5.29%) adults with T2D. The mean age of people with T2D in the included cohort at 31 December 2016 was 68.7 ± 12.6 years; 21,656 (43.9%) were female. The mean body mass index was 30.7 ± SD 6.4 kg/m2. The most deprived groups (IMD quintiles 1 and 2) showed poorer HbA1c than the least deprived (IMD quintile 5). People of Black ethnicity had worse HbA1c than those of White ethnicity. Asian individuals were less likely than White individuals to be prescribed insulin (odds ratio [OR] 0.86, 95% CI 0.79–0.95; p 0.01), sodium-glucose cotransporter-2 (SGLT2) inhibitors (OR 0.68, 95% CI 0.58–0.79; p 0.001), and glucagon-like peptide-1 (GLP-1) agonists (OR 0.37, 95% CI 0.31–0.44; p 0.001). Black individuals were less likely than White ind
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pmed.1002942(source: https://plos.figshare.com/articles/dataset/Disparities_in_glycaemic_control_monitoring_and_treatment_of_type_2_diabetes_in_England_A_retrospective_cohort_analysis/9945311)。
数据缺失?
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