Could a simple questionnaire spot colorectal cancer before It's too late?
NCT ID NCT07692555
First seen Jul 09, 2026 · Last updated Jul 24, 2026 · Updated 3 times
Summary
This study aims to develop a diagnostic model that predicts the risk of colorectal cancer and advanced polyps in adults aged 18 to 80 who are already scheduled for a routine colonoscopy in China. Participants fill out a questionnaire about their lifestyle, medical history, and symptoms before the procedure. Researchers will then use that information, along with colonoscopy results, to build and test a risk-prediction tool using statistical and machine-learning methods. The goal is to create a simple, non-invasive way to identify people who need a colonoscopy most urgently.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- What this could lead to
- If successful, this could lead to a simple risk-prediction tool that helps doctors identify who is most likely to have colorectal cancer or advanced polyps, potentially improving screening efficiency.
- What could go wrong
- This is an observational study, not a treatment trial. The model may not perform well in other populations or settings, and it relies on self-reported data which can be inaccurate.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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Fujian Provincial Hospital
Fuzhou, Fujian, 350001, China
Contact Phone: •••-•••-•••• Email: •••••@•••••
Contact
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Peking University Cancer Hospital & Institute
Beijing, Beijing Municipality, 100142, China
Contact Phone: •••-•••-•••• Email: •••••@•••••
Contact
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People's Hospital of Ningxia Hui Autonomous Region
Yinchuan, Ningxia, 750001, China
Contact Phone: •••-•••-•••• Email: •••••@•••••
Contact
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The First Affiliated Hospital of Xiamen University
Xiamen, Fujian, 361003, China
Contact Phone: •••-•••-•••• Email: •••••@•••••
Contact
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