Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
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.
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Retrospective PDC cohort | The study will include diabetes patients diagnosed within 1 year (including 1 year) from both inpatient and outpatient medical record systems between January 2022 and December 2022. Each center enrolls approximately 1000 new diabetes patients annually, and it is planned to include 30 centers, with an estimated total of 30,000 participants. |
| |
| Prospective PDC cohort | The study centers will enroll diabetes patients diagnosed within 1 year (including 1 year) from both outpatient and inpatient services between January 2024 and December 2024. Each center sees approximately 3000 new diabetes patients annually, and it is planned to include 30 centers, with an estimated total of 90,000 participants. The patients will be followed up for a period of 5 years. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| no intervention | Other | It's an observational study, no intervention included |
|
| Measure | Description | Time Frame |
|---|---|---|
| The 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. | July 1st 2023 to December 31th 2023 |
| Measure | Description | Time Frame |
|---|---|---|
| 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. | January 1st 2024 to December 31th 2028 |
| To establish a model for predicting diabetic kidney disease |
| Measure | Description | Time Frame |
|---|---|---|
| To establish a model for hypoglycemic therapy | To establish a model for hypoglycemic therapy selection, and compare the rate of HbA1c<7% in patients who are in accordance with the model choice and those who aren't. | January 1st 2024 to December 31th 2028 |
Inclusion Criteria:
Exclusion Criteria:
Not provided
Not provided
Not provided
Not provided
The retrospective cohort includes patients diagnosed with diabetes according to WHO 1999 criteria, and the prospective cohort enrolls precisely classified diabetic patients according to "Classification of diabetes mellitus in China: an expert consensus statement".
Not provided
Not provided
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| the Second Xiangya Hospital | Recruiting | Changsha | Hunan | 410010 | China |
Not provided
| ID | Term |
|---|---|
| D003920 | Diabetes Mellitus |
| ID | Term |
|---|---|
| D044882 | Glucose Metabolism Disorders |
| D008659 | Metabolic Diseases |
| D009750 | Nutritional and Metabolic Diseases |
| D004700 | Endocrine System Diseases |
Not provided
Not provided
Not provided
Not provided
Not provided
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. |
| 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. | January 1st 2024 to December 31th 2028 |