Recurrence outcomes of robotic versus laparoscopic surgery for gastric cancer: A multicenter study

While robotic-assisted gastrectomy (RAG) for gastric cancer demonstrates perioperative safety, its long-term oncologic efficacy relative to laparoscopic-assisted gastrectomy (LAG) requires robust evaluation. This multicenter retrospective study, conducted at eight tertiary referral teaching hospitals from January 2015 to June 2019, compared recurrence outcomes between RAG and LAG using propensity score-matched cohorts with 941 patients per group. The analysis revealed no significant differences in the overall postoperative 3-year recurrence rates (15.1% vs. 15.0%, <i>p</i> = 0.949), 3-year actual recurrence-free survival (83.7% vs. 83.2%), or time to recurrence (15.5 ± 8.1 vs. 16.1 ± 7.8 months, <i>p</i> = 0.572) between the RAG and LAG groups. Subgroup analyses stratified by age, extent of resection, and pathological stage consistently demonstrated comparable outcomes. These findings substantiate that RAG provides long-term recurrence outcomes equivalent to conventional laparoscopy, supporting its role as a viable minimally invasive alternative for resectable gastric cancer.

Authors

Institutions

Publication Details

Journal
iScience
Published
2025-11-20
DOI
https://doi.org/10.1016/j.isci.2025.114069
Primary Topic
Gastric Cancer Management and Outcomes
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Recurrence outcomes of robotic versus laparoscopic surgery for gastric cancer: A multicenter study

Chao‐Hui Zheng, Baoqing Jia, Xin‐Gan Qin, Hongliang Yao et al.
iScience
Gastric Cancer Management and Outcomes
article

Recurrence outcomes of robotic versus laparoscopic surgery for gastric cancer: A multicenter study

Chao‐Hui Zheng, Baoqing Jia, Xin‐Gan Qin, Hongliang Yao, Qing Zhong, Junjun She, Chang‐Ming Huang, Shuangyi Ren, Meng-Qi Xue, Li Zhang, Junyu Chen, Taiyuan Li, Qiyue Chen
article en

Abstract

While robotic-assisted gastrectomy (RAG) for gastric cancer demonstrates perioperative safety, its long-term oncologic efficacy relative to laparoscopic-assisted gastrectomy (LAG) requires robust evaluation. This multicenter retrospective study, conducted at eight tertiary referral teaching hospitals from January 2015 to June 2019, compared recurrence outcomes between RAG and LAG using propensity score-matched cohorts with 941 patients per group. The analysis revealed no significant differences in the overall postoperative 3-year recurrence rates (15.1% vs. 15.0%, <i>p</i> = 0.949), 3-year actual recurrence-free survival (83.7% vs. 83.2%), or time to recurrence (15.5 ± 8.1 vs. 16.1 ± 7.8 months, <i>p</i> = 0.572) between the RAG and LAG groups. Subgroup analyses stratified by age, extent of resection, and pathological stage consistently demonstrated comparable outcomes. These findings substantiate that RAG provides long-term recurrence outcomes equivalent to conventional laparoscopy, supporting its role as a viable minimally invasive alternative for resectable gastric cancer.

iScienceVol. 28(12)
Fujian Medical University (CN), Central South University (CN), Nanchang University (CN), Dalian Medical University (CN), Tianjin Medical University Cancer Institute and Hospital (CN), Chinese PLA General Hospital (CN), Second Affiliated Hospital of Dalian Medical University (CN), First Affiliated Hospital of Xi'an Jiaotong University (CN), First Affiliated Hospital of GuangXi Medical University (CN), Second Xiangya Hospital of Central South University (CN), Union Hospital (CN), First Affiliated Hospital of Nanchang University (CN)
Openalex Percentile: Top 50%
Gastric Cancer Management and Outcomes
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.