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预防医学  2021, Vol. 33 Issue (12): 1189-1198    DOI: 10.19485/j.cnki.issn2096-5087.2021.12.001
  标准·方案·指南 本期目录 | 过刊浏览 | 高级检索 |
基于区域大数据平台的卒中高危人群队列研究最小数据集标准专家共识
中国疾病预防控制中心慢性非传染性疾病预防控制中心, 国家神经系统疾病临床医学研究中心, 国家神经系统疾病医疗质量控制中心, 中国卒中学会脑血管病大数据与信息标准化分会
Minimum dataset standard for cohort study of high-risk population of stroke based on regional big data platform: a consensus
National Center for Chronic, Non-communicable Disease Control, Prevention, Chinese Center for Disease Control, Prevention; China National Clinical Research Center for Neurological Diseases; National Center for Healthcare Quality Management in Neurological Diseases; Cerebrovascular Disease Big Data, Information Standardization Branch of Chinese Stroke Association
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摘要 开展基于真实世界的卒中高危人群大型队列研究对卒中防控具有重要意义,然而各区域大数据平台数据元结构、变量定义和范围不一致,难以实现不同区域的数据共享、汇总和分析。本研究在梳理卒中危险因素类别和定义的基础上,结合区域大数据平台已有数据基础,建立了一套统一的卒中高危人群队列研究最小数据集标准,并形成专家共识。以期为实现区域内和区域间真实世界数据的比较、整合和共享提供参考,在卒中危险因素队列研究、防控措施实施和评价中发挥作用。
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National Center for Chronic
Non-communicable Disease Control
Prevention
Chinese Center for Disease Control
Prevention; China National Clinical Research Center for Neurological Diseases; National Center for Healthcare Quality Management in Neurological Diseases; Cerebrovascular Disease Big Data
Information Standardization Branch of Chinese Stroke Association
关键词 卒中危险因素大数据队列研究数据集    
Abstract:A large cohort study of high-risk population of stroke based on the real world is of great significance for stroke prevention and control. However, the data element structures, variable definitions and scopes of regional big data platforms are inconsistent, which will be an obstacle for data sharing, summary, and analysis among different regions. In this study, we formed an expert consensus on a unified minimum dataset standard for the cohort study of high-risk population of stroke, considering the categories and definitions of risk factors of stroke, and the existing database of the regional big data platforms. The consensus shall provide a reference for the comparison, integration, and sharing of real world data within and between regions, and play an important role in the cohort study on risk factors of stroke, as well as the implementation and evaluation of prevention and control measures.
Key wordsstroke    risk factor    big data    cohort study    dataset
收稿日期: 2021-11-04      出版日期: 2021-12-03
ZTFLH:  R743.3  
基金资助:“十三五”国家重点研发计划“重大慢性非传染性疾病防控研究”(2017YFC1310902,2017YFC1310901,2017YFC1310903); 国家自然科学基金面上项目(81872721); 宁波市医疗卫生品牌学科资助(PPXK2018-10)
通信作者: 刘世炜,E-mail:liusw@chinacdc.cn;李子孝,E-mail:lizixiao2008@hotmail.com   
引用本文:   
中国疾病预防控制中心慢性非传染性疾病预防控制中心, 国家神经系统疾病临床医学研究中心, 国家神经系统疾病医疗质量控制中心, 中国卒中学会脑血管病大数据与信息标准化分会. 基于区域大数据平台的卒中高危人群队列研究最小数据集标准专家共识[J]. 预防医学, 2021, 33(12): 1189-1198.
National Center for Chronic, Non-communicable Disease Control, Prevention, Chinese Center for Disease Control, Prevention; China National Clinical Research Center for Neurological Diseases; National Center for Healthcare Quality Management in Neurological Diseases; Cerebrovascular Disease Big Data, Information Standardization Branch of Chinese Stroke Association. Minimum dataset standard for cohort study of high-risk population of stroke based on regional big data platform: a consensus. Preventive Medicine, 2021, 33(12): 1189-1198.
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http://www.zjyfyxzz.com/CN/10.19485/j.cnki.issn2096-5087.2021.12.001      或      http://www.zjyfyxzz.com/CN/Y2021/V33/I12/1189
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