Learning Curve and Optimization of Robotic Gastrectomy

NCT ID: NCT05715775

Last Updated: 2023-02-21

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

527 participants

Study Classification

OBSERVATIONAL

Study Start Date

2016-08-01

Study Completion Date

2022-12-01

Brief Summary

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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

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Conditions

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Gastric Cancer

Study Design

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Observational Model Type

COHORT

Study Time Perspective

RETROSPECTIVE

Eligibility Criteria

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Inclusion Criteria

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.
Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Fujian Medical University

OTHER

Sponsor Role lead

Responsible Party

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Chang-Ming Huang, Prof.

Director of gastric surgery

Responsibility Role PRINCIPAL_INVESTIGATOR

Locations

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Fujian Medical University Union Hospital

Fuzhou, Fujian, China

Site Status

Countries

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China

References

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Xue Z, Lu J, Lin J, Xu KX, Xu BB, Wu D, Zheng HL, Xie JW, Wang JB, Lin JX, Chen QY, Li P, Huang CM, Zheng CH. 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 - a retrospective cohort study. Int J Surg. 2024 Sep 1;110(9):5605-5614. doi: 10.1097/JS9.0000000000001652.

Reference Type DERIVED
PMID: 38775618 (View on PubMed)

Other Identifiers

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RGLC-01

Identifier Type: -

Identifier Source: org_study_id

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