Risk Evaluation of cAncers in Chinese diabeTic Individuals: a lONgitudinal Study

NCT ID: NCT01506869

Last Updated: 2012-01-10

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Total Enrollment

200000 participants

Study Classification

OBSERVATIONAL

Study Start Date

2011-05-31

Study Completion Date

2015-06-30

Brief Summary

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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.

Detailed Description

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Conditions

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Cancer

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

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Type 2 diabetes

No interventions assigned to this group

Prediabetes

No interventions assigned to this group

Normal glucose regulation

No interventions assigned to this group

Eligibility Criteria

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Inclusion Criteria

1. Age \>= 40 years old
2. Gender: males and females
3. Provide written informed consent
4. Satisfactory compliance

Phase 2


1. Age \>= 40 and =\< 75 years old
2. Gender: males and females
3. Provide written informed consent
4. Satisfactory compliance

Exclusion Criteria

1. History of cancer;
2. History of LADA and other autoimmunity diseases;
3. Acute diabetic complication, acidosis, etc;
4. Moderate to severe liver, kidney dysfunction, i.e. ALT/AST \> 2.5 times the upper limit of normal range or Ccr \< 25ml/min;
5. Any other condition or major systemic diseases that the investigator feels would interfere with trial participation or evaluation of results.
Minimum Eligible Age

40 Years

Maximum Eligible Age

75 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Chinese Society of Endocrinology

UNKNOWN

Sponsor Role collaborator

Shanghai Jiao Tong University School of Medicine

OTHER

Sponsor Role lead

Responsible Party

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Guang Ning

Professor

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Guang Ning, MD,PHD

Role: PRINCIPAL_INVESTIGATOR

Shanghai Jiao Tong University School of Medicine

Locations

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Shanghai Jiao-Tong University School of Medicine

Shanghai, , China

Site Status RECRUITING

Countries

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China

Central Contacts

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Guang Ning, MD,PHD

Role: CONTACT

008621 64370045 ext. 663340

Facility Contacts

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Guang Ning, MD,PHD

Role: primary

008621 64370045 ext. 663340

References

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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.

Reference Type DERIVED
PMID: 38185831 (View on PubMed)

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.

Reference Type DERIVED
PMID: 33632707 (View on PubMed)

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.

Reference Type DERIVED
PMID: 32611608 (View on PubMed)

Other Identifiers

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CCEMD010

Identifier Type: -

Identifier Source: org_study_id

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