Journal of Shanghai Jiao Tong University (Medical Science) ›› 2023, Vol. 43 ›› Issue (9): 1145-1152.doi: 10.3969/j.issn.1674-8115.2023.09.008

• Clinical research • Previous Articles    

Construction of Shanghai Diabetes Clinical Database and real-world study

XUE Yanbin1,2(), QI Jiying1,3, ZHANG Zizheng1,3, JING Renjie1,3, SUN Wen4, YAO Huayan1,2, HE Ping2, CUI Bin1,3(), NING Guang1,3   

  1. 1.Shanghai Digital Medicine Innovation Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
    2.Shanghai Hospital Development Center, Shanghai 200041, China
    3.Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
    4.Wonders Information Co. Ltd. , Shanghai 200233, China
  • Received:2023-05-31 Accepted:2023-08-23 Online:2023-09-28 Published:2023-09-28
  • Contact: CUI Bin;
  • Supported by:
    National Key R&D Program of China(2018YFC1314802);“Two-hundred Talents” Program of Shanghai Jiao Tong University School of Medicine(20152502)


Objective ·To construct a clinical database of diabetes in Shanghai, mine the value of clinical data, and carry out real-world study. Methods ·The data were extracted from Shanghai Link Healthcare Database. All original clinical data have undergone standard processes such as desensitization, encryption, cleaning, standardization, information extraction and structuring, and clinical data were analyzed by the method of medical statistics or machine learning according to different research contents. Results ·The database has imported the clinical data of 150 million visits and treatment records of 2.12 million diabetic patients in 37 municipal hospitals over a ten-year period from 2013 to 2022. The overall analysis showed the basic characteristics and development trends of all aspects of diabetes disease in real-world settings, the potential risks of diabetes are discovered by constructing retrospective cohort, and the inherent patterns of the disease are revealed by using machine learning methods such as cluster analysis and network analysis. Conclusion ·The establishment of Shanghai Diabetes Clinical Database can not only summarize and show the clinical status of diabetes, but also obtain more scientific achievements with realistic clinical value by real-world clinical data study.

Key words: diabetes, big data, real-world study

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