Effect of the Automatic Surveillance System on Surveillance Rate of Patients with Gastric Premalignant Lesions
Recruiting now · Not applicable
Conditions studied: Artificial Intelligence, Surveillance
In brief
In this study, we proposed a prospective study about the effect of the automatic surveillance system on surveillance rate of patients with gastric premalignant lesions. The enrolled patients were divided into group A with intelligent surveillance system, group B with manual reminder, and group C with natural state. The surveillance among the three groups will be compared.
Key facts
- Study ID
- NCT06039917
- Run by
- Renmin Hospital of Wuhan University
- People needed
- 1460
- Starts
- 2023-09-10
- Expected to finish
- 2029-12-31
- Last updated by the study team
- 2024-11-04
Who can join
Age: 18 and older. Sex: any. Healthy volunteers: not accepted.
You may qualify if…
- Male or female aged 18 years or older who undergo upper endoscopy.
You may not qualify if…
- 1)No contact information or invalid contact information.
- 2) The surveillance interval cannot be determined according to the surveillance guidelines, including no upper gastrointestinal pathology, therapeutic endoscopy or with history of previous gastrectomy, esophagectomy, or ESD, no dysplasia degrees, no biopsy sites, non-epithelial lesions, duodenal lesions, ulcer and so on.
- 3) Needless for surveillance or others.
- 4) High-grade intraepithelial neoplasia or cancer of the esophagus or stomach.
- 5) Low-grade intraepithelial neoplasia of the esophagus and Barrett's esophagus.
- 6) High-risk diseases or other special conditions for which the patient is deemed unsuitable for clinical trials by the investigator.
Where it is running
- Renmin Hospital of Wuhan University — Wuhan, Hubei, China (enrolling)
- Shanghai Pudong Hospital — Shanghai, Shanghai Municipality, China (enrolling)
- Jinjiang Municipal Hospital, Shanghai Sixth People's Hospital Fujian Campus — Quanzhou, Fujian, China
- The Eighth Hospital of Wuhan — Wuhan, Hubei, China
Full record on ClinicalTrials.gov
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