ArticleSurgical endoscopy2022
The impact of robotic technology on the learning curve for robot-assisted gastrectomy in the initial clinical application stage.
Article in Surgical endoscopy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.
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Who cites it
4 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Evaluating safety and quality of robotic-assisted gastric cancer surgery: meta-analysis and meta-regression.BJS open · 2025Pooled it
- A systematic review on the effectiveness of robot-assisted minimally invasive gastrectomy.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2024Pooled it
- Reported device problems and patient outcomes in da Vinci robotic robotic gastric and upper-gastrointestinal procedures: an FDA MAUDE database analysis.Journal of robotic surgery · 2026Article
- Basic performance of domestic surgical robot and the safety and effectiveness of integrated energy equipment.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2023Article
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Authors and funding
4 authors.
Funding
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Abstract
objectiveTo evaluate the impact of robotic technology on the learning curve for robot-assisted gastrectomy in the initial clinical application stage and to compare RAG with laparoscopic-assisted gastrectomy using a short-term evaluation.
methodsBetween September 2016 and December 2018, 111 consecutive distal gastric cancer patients who were candidates for RAG or LAG were prospectively enrolled. Operative findings, morbidity, oncological findings, and the learning curve were analyzed.
resultsThirty patients underwent RAG with the da Vinci Si robot system, and eighty-one patients underwent LAG. Blood loss was lower during RAG than during LAG (133.80 ± 95.28 vs. 178.83 ± 98.37, P = 0.046). The operative time for RAG was significantly longer (304.45 ± 42.08 vs. 281.17 ± 32.69, P = 0.015). The number of retrieved lymph nodes (LNs) was greater (37.33 ± 8.25 vs. 32.78 ± 5.98, P = 0.003) with RAG. Notably, RAG had an advantage in the dissection of No. 9 and 11p LNs (3.56 ± 1.76 vs. 2.78 ± 1.30, P = 0.038; 2.48 ± 0.93 vs. 1.99 ± 0.84, P = 0.015, respectively). Severe complications were less frequent in the RAG group (7 (8.6%) vs. 1 (3.3%), P = 0.003). No significant differences in terms of postoperative recovery were found between the two groups. The learning curve for RAG showed that the cumulative sum value decreased from the 10th case, while it decreased from the 28th case in the LAG group.
conclusionBy means of robotic technology, RAG is better than LAG for the dissection of No. 9 and 11p LNs and for the alleviation of surgical trauma, and the technique is learned more rapidly during the preliminary stage than the LAG technique.
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