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Establishment of Big Data Platform and Biobank for Colorectal Tubular Adenoma Lesions

Construction and Demonstration of Accurate Prevention and Treatment System for Colorectal Tubular Adenoma

Status
Not yet recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06322225
Enrollment
30000
Registered
2024-03-21
Start date
2024-05-01
Completion date
2026-12-31
Last updated
2024-03-21

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Colorectal Tubular Adenoma

Brief summary

Colorectal tubular adenoma is the most common precancerous lesion of colorectal cancer, and the point is that its precise prevention and treatment can reduce the incidence of colorectal cancer.However, the epidemiological characteristics of colorectal tubular adenoma in China are unclear, the rate of missed diagnosis by colonoscopy is high, and the existing diagnosis and treatment techniques are lack of unified quality control standards,which makes it difficult to diagnose and achieve accurate prevention and control. How to improve the precise prevention and treatment of colorectal tubular adenoma and reduce the incidence of colorectal cancer is a major clinical scientific problem that needs to be solved urgently. For this purpose, this study was conducted in colorectal guided by the needs of accurate prevention and treatment of tubular adenoma lesions,and a multi-center colorectal tubular adenoma data management platform and a high-risk population database covering a full range of data including demographic characteristics, lifestyle factors, clinical information, endoscopic data and pathological images were established, biological sample databases of patients with pathological changes and high-risk populations were established, and data quality control and sample quality control standards were formulated standards-based. The pathological prediction model and accurate risk assessment system of colorectal tubular adenoma were constructed by the pathological database.

Interventions

None listed

Sponsors

National Key Research and Development Program of China
CollaboratorUNKNOWN
Sixth Affiliated Hospital, Sun Yat-sen University
Lead SponsorOTHER

Study design

Observational model
CASE_CONTROL
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to 70 Years
Healthy volunteers
Yes

Inclusion criteria

Voluntarily sign informed consent; Colorectal tubular adenoma was diagnosed according to JSGE clinical guidelines They are between 18 and 70 years old

Exclusion criteria

Refuse to sign the informed consent Patients who were judged by the investigator to be unsuitable for participation in this study. The diagnosis is not tubular adenoma of colorectal or other adenomas according to JSGE clinical guidelines Age \< 18 or \> 70

Design outcomes

Primary

MeasureTime frameDescription
Clinical information such as demographic characteristics, clinical data, endoscopy and pathological images2024.05-2026.12Through the collection of clinical data and biological samples, we established a tubular adenoma big data platform and biobank, and established a precision prevention and treatment system for tubular adenoma

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026