Learning Curve and Optimization of Robotic Gastrectomy

Completed

• Conditions: Gastric Cancer

• Registration Number: NCT05715775
• Lead Sponsor: Fujian Medical University

Brief Summary

we explore the learning curve and the impact of technique optimization on surgical outcomes and the first to construct a referenceable learning phase for performing robotic gastric cancer surgery.

Detailed Description

Not available

Study Timeline

• Study Start: 2016-08-01
• Primary Completion: 2021-06-01
• Study Completion: 2022-12-01
• Study First Submitted: 2023-01-28
• Study First Submitted QC: 2023-01-28
• Status Verified: 2023-02
• Study First Posted: 2023-02-08
• Last Update Submitted: 2023-02-18
• Last Update Posted: 2023-02-21

Recruitment & Eligibility

• Status: COMPLETED
• Sex: All
• Target Recruitment: 527

Inclusion Criteria

• Case inclusion criteria: (1) patients with pathologically confirmed gastric adenocarcinoma; (2) no distant metastases; and (3) R0 resection was performed.

Exclusion Criteria

• Case exclusion criteria: (1) the presence of distant metastases was found ; (2) preoperative neoadjuvant chemotherapy was administered; and (3) clinical information was incomplete.

Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
The LN dissection rate	36 months	The LN dissection rate was defined as the number of the LN station was examined divided by the total number of retrieval LN station.

Secondary Outcome Measures

Name	Time	Method
LN noncompliance	30 days	LN noncompliance was defined as the absence of LNs from more than 1 LN station.

Trial Locations

Locations (1)

Fujian Medical University Union Hospital; 🇨🇳 Fuzhou, Fujian, China