The prevalence of diabetes has been increasing year by year. According to the International Diabetes Federation (IDF) statistics in 2021, the global number of people with diabetes has reached 537 million. The patient population is large and heterogeneous, and precise diagnosis and treatment of diabetes patients have been a focus of attention. The objective of this study is to clarify the current status of precision classification and diagnosis of diabetes patients through retrospective and prospective cohort studies, and to establish a model for precision classification and diagnosis of diabetes, improving the accuracy of diabetes classification and diagnosis; based on big data of precision medicine for diabetes patients and follow-up cohorts, to establish precise diagnostic, therapeutic, and predictive methods for diabetes; and through multi-omics data analysis, to explore the potential pathogenesis of diabetes, explaining the heterogeneity of patients, and guiding individualized treatment for patients.
Study Type
OBSERVATIONAL
Enrollment
120,000
It's an observational study, no intervention included
the Second Xiangya Hospital
Changsha, Hunan, China
RECRUITINGThe currency analysis of diabetes classification
To assess the accuracy rate of diabetes classification diagnoses according to "Classification of diabetes mellitus in China: an expert consensus statement" and explore variations across centers in different regions and hospital levels.
Time frame: July 1st 2023 to December 31th 2023
To establish a model for predicting diabetic retinopathy
To establish a model for diabetic retinopathy prediction, and calculate the sensitivity and specificity of the model were by comparing with the retinopathy outcome of patients.
Time frame: January 1st 2024 to December 31th 2028
To establish a model for predicting diabetic kidney disease
To establish a model for diabetic kidney disease (DKD) prediction, and calculate the sensitivity and specificity of the model were by comparing with the DKD outcome of patients.
Time frame: January 1st 2024 to December 31th 2028
To establish a model for predicting diabetic neuropathy
To establish a model for diabetic neuropathy prediction, and calculate the sensitivity and specificity of the model were by comparing with the outcome of patients.
Time frame: January 1st 2024 to December 31th 2028
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