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
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.
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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