Learning Curve and Optimization of Robotic Gastrectomy

Fujian Medical University527 enrolled

Overview

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.

Study Type

OBSERVATIONAL

Enrollment

527

Conditions

Gastric Cancer

Eligibility

Sex: ALL

Medical Language ↔ Plain English

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.

Locations (1)

Fujian Medical University Union Hospital

Fuzhou, Fujian, China

Outcomes

Primary Outcomes

The LN dissection rate

The LN dissection rate was defined as the number of the LN station was examined divided by the total number of retrieval LN station.

Time frame: 36 months

Secondary Outcomes

LN noncompliance

LN noncompliance was defined as the absence of LNs from more than 1 LN station.

Time frame: 30 days

Data from ClinicalTrials.gov

This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.