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Could a simple questionnaire spot colorectal cancer before It's too late?

NCT ID NCT07692555

Knowledge-focused Sponsor: Peking University Cancer Hospital & Institute Source: ClinicalTrials.gov ↗

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting This study
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing
Running, but no longer taking on new participants.
Completed
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

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.

This is an AI summary of the original study and may miss details. Read our disclaimer.

Study facts

What this study's own registry entry says, in plain language.

Participants

About 20,000 people

The number the study aims to enrol. It can still change while the study runs.

Expected to start

Jul 2026

An estimate. Start dates often move.

Expected to finish

Jul 2029

An estimate. End dates often move.

Lead sponsor

Other sponsor

The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.

Who can take part

This study's own entry requirements. Only the study team can say for certain whether you qualify.

Who is studied

Adults aged 18 to 80 years who have already been scheduled for or referred to colonoscopy as part of routine clinical care, physical examination, or screening pathways at participating medical institutions in China will be enrolled. All participants must be willing and able to provide informed consent and complete a standardized risk factor questionnaire before the colonoscopy procedure. This population is selected because the primary study outcome, i.e., the presence of advanced colorectal neoplasia, must be confirmed by colonoscopy and histopathology, which are available through routine clinical care without requiring additional invasive procedures for research purposes.

Ages

18 to 80 years

Sex

Anyone

Healthy volunteers

Accepted

You do not need to have the condition being studied to take part.

Show the full entry requirements

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

Inclusion Criteria: * Age between 18 and 80 years at the time of enrollment. * Already scheduled to undergo colonoscopy according to routine clinical care, physical examination, or screening pathways at a participating medical institution. * No prior history of colorectal cancer or advanced colorectal neoplasia. * No contraindications to colonoscopy (as determined by the treating physician). * Able to understand the study information and complete the colorectal cancer risk-factor questionnaire independently or with appropriate assistance. * Willing to provide informed consent for completion of the questionnaire and for collection of routine clinical colonoscopy, pathology, and related medical-record data. Exclusion Criteria: * The baseline colorectal cancer risk-factor questionnaire is not completed, or considered invalid because of substantial missing or inconsistent information. * The scheduled index colonoscopy is cancelled, not performed, or not completed regardless of the underlying reason (e.g., inadequate bowel preparation). * Incomplete or unavailable colonoscopy or pathology data after the procedure. * Refusal or withdrawal of informed consent.

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Conditions

The condition(s) this trial relates to.

cancer colorectal adenoma colorectal cancer colorectal neoplasm neoplasm

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

Advanced neoplasia Colorectal cancer Precision screening Prediction models Risk stratification

How to take part

Only the study team decides who joins. These are the ways to reach them.

  1. The places running it

    4 sites. The list below names each one and where it is.

  2. The official record

    ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.

    Open the record ↗

  3. A doctor treating you

    A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.

Contacts and locations

Locations

  • Fujian Provincial Hospital

    Fuzhou, Fujian, 350001, China

  • Peking University Cancer Hospital & Institute

    Beijing, Beijing Municipality, 100142, China

  • People's Hospital of Ningxia Hui Autonomous Region

    Yinchuan, Ningxia, 750001, China

  • The First Affiliated Hospital of Xiamen University

    Xiamen, Fujian, 361003, China

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