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The goal of this observational study is to reveal the natural history of diabetes and the occurrence and development patterns of its complications, to evaluate the effectiveness of diabetes interventions, and to assess the health and medical burdens caused by diabetes in Tianjin, based on the medical records and health big data in Tianjin and correspondingly constructed diabetes-specific cohort.
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This study was conducted through the University-Enterprise Joint Laboratory for Diabetes Epidemiology Research at Tianjin Medical University. Retrospective and ongoing medical records and health big data from 396983 diabetes patients treated in secondary and tertiary hospitals in Tianjin between 2009 and 2024 were collected to establish a diabetes population cohort. Using advanced data mining techniques, multi-dimensional data including electronic health records (EHRs), medical imaging data, and wearable device metrics were analyzed.
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Data sourced from clinicaltrials.gov
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