Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

Robotic Versus Laparoscopic Radical Surgery for Locally Advanced Gastric Cancer

Southwest Hospital, China · 2025
ClinicalTrials.gov · Datasets · License: Public Domain · 2025
Open Source ↗
gastric-cancerna
This \[Study Type: Clinical Trial\] aims to \[Primary Objective: evaluate the long-term efficacy and safety of robotic gastrectomy for locally advanced gastric cancer\] in \[Participant Population: patients with locally advanced gastric cancer, aged \>18 years and \<75 years\]. The primary questions it seeks to answer are: Is the 3-year disease-free survival rate of robotic gastrectomy non-inferior to that of laparoscopic gastrectomy? Is the perioperative safety of robotic gastrectomy superior to that of laparoscopic gastrectomy? Researchers will compare \[Intervention Groups: Robotic Gastrectomy vs. Laparoscopic Gastrectomy\] to determine whether \[robotic surgery offers advantages in long-term efficacy and perioperative safety\]. Participants will: Sign an informed consent form and be randomly assigned to either the robotic surgery group or the laparoscopic surgery group. Undergo the assigned surgical procedure and receive regular follow-up visits (at 30 days, 3 months, 6 months, 9 months, 12 months, 15 months, 18 months, 21 months, 2 years, 2.5 years, and 3 years postoperatively). Complete physical examinations, blood tests (including complete blood count, biochemical markers, and tumor markers), and imaging studies (such as abdominal CT, upper gastrointestinal endoscopy, and chest X-ray) during the follow-up period.
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 1073495
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive