International registry of robot-assisted minimally invasive surgery for gastric cancer
Official title: The UGIRA International Registry for Robot-Assisted Minimally Invasive Gastrectomy (RAMIG) for Gastric Cancer
Run by Chinese University of Hong Kong · NCT07517432 · Data updated 2026-11-12
This registry will collect information to see how robot-assisted minimally invasive gastrectomy (RAMIG) works and how surgeons learn it for people having surgery for gastric cancer.
Quick facts
| Study type | Observational |
|---|---|
| Sex | All |
| Enrollment | 200 (estimated) |
| Sponsor | Chinese University of Hong Kong Academic / other |
| Drugs / interventions | chemotherapy |
| Locations | 1 site (Hong Kong) |
| Status | Recruiting |
| Started | April 1, 2021 |
| Main results expected | March 31, 2031 |
| Study ends | March 31, 2031 |
| Registry record updated | April 8, 2026 |
| Trial ID | NCT07517432 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Patients with gastric cancer who undergo robot-assisted minimally invasive gastrectomy at a participating center are ideal candidates for inclusion.
✕Probably not a fit
Patients who are not treated with RAMIG (for example those undergoing open surgery, non-surgical management, or surgery at non-participating centers) would not directly benefit from this registry.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This observational international registry, led from The Chinese University of Hong Kong, collects standardized perioperative and postoperative data on patients undergoing robot-assisted minimally invasive gastrectomy (RAMIG). It aims to harmonize definitions of outcomes so results can be compared across centers, capture variations in surgical technique, and quantify the learning curve for surgeons adopting RAMIG. Data elements include patient characteristics, surgical details, complications, oncologic metrics, and hospital stay. Aggregated results will be used to inform safer and more effective implementation of RAMIG worldwide.
Why it matters
Potential benefit: If successful, the registry could help surgeons adopt RAMIG more safely and consistently, potentially reducing complications and improving recovery for patients.
How similar studies have gone: Numerous single-center and comparative studies have shown robotic gastrectomy to be feasible and safe, but large international registries standardizing outcomes and learning-curve data remain limited.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * All gastric cancer patients undergoing RAMIG in a center Exclusion Criteria: * No
Where it's running
-
The Chinese University of Hong Kong, Shatin, HK
Hong Kong, Hong Kong Recruiting
Study contacts
- Principal investigator: Shannon Melissa CHAN, MBChB, FRCSEd, FHKAM (Surgery) — Chinese University of Hong Kong
- Study coordinator: Shannon Melissa CHAN, MBChB, FRCSEd, FHKAM (Surgery)
- Email: shannonchan@surgery.cuhk.edu.hk
- Phone: +852 3505 2956
Similar studies
Other studies for the same condition or treatment. Recruiting studies are listed first.
-
Paclitaxel given inside the abdomen with systemic therapy for GI cancers with peritoneal spread
This phase II study tests a combination of intraperitoneal and systemic chemotherapy (paclitaxel) in adults with digestive tract cancers that have spread to the peritoneum.
-
TAIC FOLFOX for unresectable gastric and gastroesophageal junction cancer
This study tests a combination of TAIC and FOLFOX chemotherapy to see if it helps adults with unresectable gastric cancer or gastroesophageal junction adenocarcinoma live longer and feel better.
-
AI-assisted T-staging for gastric cancer with radiology guidance
This study tests whether the TRACE AI system helps radiologists more accurately stage gastric cancer on CT scans.
-
Exercise training after upper gastrointestinal cancer surgery
This trial tests whether high-intensity interval training or low-intensity aerobic training after curative surgery helps people recover better than usual care.
-
Gastric cancer characteristics and care patterns in Algeria
This project collects medical records and short interviews to describe who has gastric cancer and how they are diagnosed and treated at Algerian oncology centers.
-
DeepComp: AI prediction of complications after stomach cancer surgery
This project will try an AI tool called DeepComp to predict which adults with gastric adenocarcinoma scheduled for curative stomach surgery are at high risk of moderate-to-severe postoperative complications using routine preoperative CT scans and clinical data.
How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.