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ArticleGastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association2022

Trends in clinical outcomes and long-term survival after robotic gastrectomy for gastric cancer: a single high-volume center experience of consecutive 2000 patients.

Seohee Choi, Jeong Ho Song, Sejin Lee, Minah Cho, Yoo Min Kim, Hyoung-Il Kim, Woo Jin Hyung

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Article in Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

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10citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Predictive Factors for Infectious Complications after Robotic Gastrectomy for Gastric or Esophagogastric Junction Cancer.European surgical research. Europaische chirurgische Forschung. Recherches chirurgicales europeennes · 2026
    Observational
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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Seohee ChoiDepartment of Surgery, Yonsei University College of Medicine, Seoul, Republic of Korea.
Jeong Ho SongDepartment of Surgery, Yonsei University College of Medicine, Seoul, Republic of Korea.
Sejin LeeDepartment of Surgery, Yonsei University College of Medicine, Seoul, Republic of Korea.
Minah ChoDepartment of Surgery, Yonsei University College of Medicine, Seoul, Republic of Korea.
Yoo Min KimDepartment of Surgery, Yonsei University College of Medicine, Seoul, Republic of Korea.
Hyoung-Il KimDepartment of Surgery, Yonsei University College of Medicine, Seoul, Republic of Korea.
Woo Jin HyungDepartment of Surgery, Yonsei University College of Medicine, Seoul, Republic of Korea. wjhyung@yuhs.ac.ORCID 0000-0002-8593-9214

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMinimally invasive surgery is now a standard treatment for gastric cancer. Many retrospective studies have reported that robotic gastrectomy is safe and feasible, with similar short- and long-term outcomes as laparoscopic gastrectomy. However, no studies have reported the details of surgical and survival outcomes for robotic gastrectomy. This study aimed to evaluate the surgical trends and techniques of robotic gastrectomy and analyze the surgical outcomes of 2000 consecutive patients with gastric cancer who underwent robotic gastrectomy over 14 years.

methodsBetween July 2005 and January 2019, 2000 consecutive robotic gastrectomies were performed. We evaluated short- and long-term outcomes as well as surgical trends after robotic gastrectomy.

resultsThere were 1,560 subtotal gastrectomies (78%), 324 total gastrectomies (16.2%), 83 proximal gastrectomies (4.2%), and 33 completion total gastrectomies (1.7%). The rates of major complications and mortality were 3.1% and 0.3%, respectively. In a subgroup analysis, there were no significant differences in the rate of complications over time (P = 0.696). Five-year overall survival rates were 97.6% for stage I, 91.9% for stage II, and 69.2% for stage III, with a total recurrence rate of 5.3%. Since its adoption in 2005, the proportion of robotic gastrectomies, as well as technically demanding procedures have increased over time.

conclusionsOur 14 years' experience of 2000 robotic gastrectomies has shown the proportion, as well as the number of robotic gastrectomies, have tended to increase and trends toward to technically demanding procedures. Outcomes of robotic gastrectomy appear safe and feasible with acceptable short- and long-term outcomes.

Indexed as

LaparoscopyRobotic Surgical ProceduresStomach NeoplasmsGastrectomyHumansRetrospective StudiesTreatment OutcomeComplicationsGastric cancerRecurrenceRobotic gastrectomySurvival

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.