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| Name | Class |
|---|---|
| Chinese Society of Endocrinology | UNKNOWN |
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Phase 1: Baseline investigation (nation-wide survey)
Aims: To investigate whether diabetes and prediabetes is a risk factor for cancers of all sites as well as for specific type of cancer, such as breast and colorectal cancer.
Subjects and Methods: A nation-wide survey will be carried out in 200,000-250,000 individuals selected from 20-25 communities stratified according to geographic regions (northeast, north, east, south central, northwest, and southwest China), degrees of urbanization (large cities [Beijing, Shanghai, and provincial capitals], midsize cities, county seats, and rural townships), and economic development status (as assessed on the basis of the gross domestic product [GDP] for each province). A comprehensive examination including questionnaire, anthropometric measurements, biochemical analysis will be performed in each study participant. Diabetes and prediabetes should be diagnosed by OGTT according to the WHO 1999 criteria, while the diagnosis of cancer is established on the self-report questionnaire and cross checking with the tumor registry or a proof of doctor's diagnosis.
Phase 2: Cohort follow-up
Aims : To examine factors that modify the risk of cancer in diabetes, prediabetes and normal glucose regulation (NGR).
Subjects and Methods: To recruit and follow all type 2 diabetes, prediabetes, and sex,age-matched NGR (1:1) in each community for at least 3 years. For diabetes, treatment target is HbA1c ≤ 7.0% with treatment paradigm recommended by local guideline.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Type 2 diabetes | |||
| Prediabetes | |||
| Normal glucose regulation |
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| Measure | Description | Time Frame |
|---|---|---|
| number of participants who develop cancer during follow-up | 3 years |
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Phase 1
Inclusion Criteria:
Phase 2
Inclusion Criteria:
Exclusion Criteria:
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In phase 1, 200,000-250,000 individuals selected from 20-25 communities stratified according to geographic regions, degrees of urbanization, and economic development status In Phase 2, 30,000-40,000 type 2 diabetes, 20,000-30,000 prediabetes, 30,000-40,000 normal glucose regulation, recruited from the baseline survey
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Guang Ning, MD,PHD | Contact | 008621 64370045 | 663340 | guangning@medmail.com.cn |
| Name | Affiliation | Role |
|---|---|---|
| Guang Ning, MD,PHD | Shanghai Jiao Tong University School of Medicine | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Shanghai Jiao-Tong University School of Medicine | Recruiting | Shanghai | 200025 | China |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 41801510 | Derived | Liu Y, Li B, Lin L, Chen K, Zhang B, Wang W, Gu W, Shen J, Mu Y. The association between triglyceride glucose index and changes in carotid intima-media thickness: a 6-year prospective study in the 4C cohort. Endocrine. 2026 Mar 9;91(1):90. doi: 10.1007/s12020-025-04500-8. | |
| 38185831 | Derived | Wang L, Wu P, Chen K, Li B, Wang J, Mu Y. Correlation between rate-pressure product or pressure-rate quotient and urinary albumin-creatinine ratio in the Chinese older population: The REACTION study. Chin Med J (Engl). 2024 Jan 20;137(2):238-240. doi: 10.1097/CM9.0000000000002941. Epub 2024 Jan 8. No abstract available. |
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| ID | Term |
|---|---|
| D009369 | Neoplasms |
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Blood and urine samples were collected and retained for biomarker analysis
| 33632707 | Derived | Xu C, Zhou G, Zhao M, Zhang X, Fang L, Guan Q, Zhang H, Gao L, Zhang T, Zhao J. Bidirectional temporal relationship between obesity and hyperinsulinemia: longitudinal observation from a Chinese cohort. BMJ Open Diabetes Res Care. 2021 Feb;9(1):e002059. doi: 10.1136/bmjdrc-2020-002059. |
| 32611608 | Derived | Chen Y, Lin H, Qin L, Lu Y, Zhao L, Xia M, Jiang J, Li X, Yu C, Zong G, Zheng Y, Gao X, Su Q, Li X. Fasting Serum Fructose Levels Are Associated With Risk of Incident Type 2 Diabetes in Middle-Aged and Older Chinese Population. Diabetes Care. 2020 Sep;43(9):2217-2225. doi: 10.2337/dc19-2494. Epub 2020 Jul 1. |