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AI tool aims to predict dangerous leak after stomach cancer surgery

NCT ID NCT06807372

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
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 This study
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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study is testing whether an artificial intelligence model can predict duodenal stump leakage, a serious complication that can occur after laparoscopic surgery to remove stomach cancer. The research involves 1200 participants who have had or will have this surgery. The goal is to see if the AI can accurately identify who is at higher risk, which could help doctors take preventive steps.

What this could mean

Our plain-language read of the trial. This is informational only, not medical advice or a prediction.

Active substance
artificial intelligence prediction model
What this could lead to
If successful, this AI tool could help doctors identify patients at high risk for a serious post-surgery complication, potentially improving outcomes.
What could go wrong
This is an observational study to validate a prediction model, not a treatment. The AI may not be accurate enough for widespread use, and results may not apply to all hospitals.

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 1,200 people

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

Started

Sep 2024

Expected to finish

Dec 2026

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

This study involves the population of the First Affiliated Hospital of School of Medicine, Zhejiang University, the Second Affiliated Hospital of School of Medicine, Zhejiang University and Jinhua Central Hospital.

Ages

18 to 85 years

Sex

Anyone

Healthy volunteers

Not accepted

This study is not open to healthy volunteers. The entry requirements below say who it is open to.

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: 1. Aged older than 18 years and younger than 85 years 2. Primary gastric carcinoma confirmed by preoperative pathology result 3. Expected curative resection via laparoscopic distal or total gastrectomy and reconstruction via Billroth-II or Roux-en-Y anastomosis 4. American Society of Anesthesiologists (ASA) class I, II, or III 5. With full documents of preoperative examinations such as blood test and abdominal CT scanning 6. Written informed consent Exclusion Criteria: 1. Pregnant or breastfeeding women. 2. Severe mental disorder or language communication disorder. 3. Other surgical procedures of gastrectomy is performed. 4. Interrupted of surgery for more than 30 minutes due to any cause. 5. Malignant tumors with other organs 6. Performed gastrectomy in the past

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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

Locations

  • Department of Gastrointestinal Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine

    Hangzhou, Zhejiang, 310000, China

More trials for these conditions

Other studies related to the condition(s) this trial covers.