Establishment and Validation of a Clinical Predictive Model for Gastrointestinal Cancer Screening Based on Patient-related Risk Factors
NCT ID: NCT06118437
Last Updated: 2025-07-24
Study Results
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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RECRUITING
1550 participants
OBSERVATIONAL
2023-07-15
2025-07-31
Brief Summary
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Studies have shown that there are similarities in risk factors for gastrointestinal tumors, such as age, gender, family history, smoking, alcohol consumption, etc. Currently, established digestive malignancies are targeted at a single malignant tumor. At present, there is a lack of understanding of the overall risk factors associated with gastrointestinal tumors and the establishment of relevant risk prediction models.
Therefore, we conducted a prospective, multicenter cross-sectional study to explore the independent risk factors of combined gastrointestinal tumors and establish a risk prediction model for combined screening of gastrointestinal tumors.
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Detailed Description
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Conditions
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Study Design
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CASE_CONTROL
PROSPECTIVE
Eligibility Criteria
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Inclusion Criteria
* Undergoing both gastroscopy and colonoscopy simultaneously.
Exclusion Criteria
* Suspicions of gastrointestinal obstruction or perforation;
* History of gastrointestinal tract surgery;
* Not suitable for endoscopic examination due to serious diseases or unstable hemodynamics;
* Unavailable relevant information;
* Pregnancy or lactation period;
* Unavailable informed consent form.
18 Years
80 Years
ALL
Yes
Sponsors
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Air Force Military Medical University, China
OTHER
Responsible Party
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Yanglin Pan
professor
Locations
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Xijing of Digestive Diseases
Xi'an, Shaanxi, China
Countries
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Central Contacts
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Facility Contacts
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References
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Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, Bray F. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA Cancer J Clin. 2021 May;71(3):209-249. doi: 10.3322/caac.21660. Epub 2021 Feb 4.
Klein EA, Richards D, Cohn A, Tummala M, Lapham R, Cosgrove D, Chung G, Clement J, Gao J, Hunkapiller N, Jamshidi A, Kurtzman KN, Seiden MV, Swanton C, Liu MC. Clinical validation of a targeted methylation-based multi-cancer early detection test using an independent validation set. Ann Oncol. 2021 Sep;32(9):1167-1177. doi: 10.1016/j.annonc.2021.05.806. Epub 2021 Jun 24.
Other Identifiers
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XJLL-KY-20232231
Identifier Type: -
Identifier Source: org_study_id
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