Learning Curve and Optimization of Robotic Gastrectomy

Enlightenment of Robotic Gastrectomy From 527 Patients With Gastric Cancer in the Minimally Invasive Era: 5 Years of Optimizing Surgical Performance in a High-volume Center

Status

Completed

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT05715775

Enrollment

527

Registered

2023-02-08

Start date

2016-08-01

Completion date

2022-12-01

Last updated

2023-02-21

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Gastric Cancer

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.

Interventions

None listed

Study design

Observational model

COHORT

Time perspective

RETROSPECTIVE

Eligibility

Sex/Gender

ALL

Healthy volunteers

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

Design outcomes

Primary

Measure	Time frame	Description
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

Measure	Time frame	Description
LN noncompliance	30 days	LN noncompliance was defined as the absence of LNs from more than 1 LN station.

Countries

China

Outcome results