Evidence map›Paper›PMID 32656721›Full record

ArticleAnnals of surgical oncology2021

Robotic Gastrectomy for Gastric Adenocarcinoma in the USA: Insights and Oncologic Outcomes in 220 Patients.

Vivian E Strong, Ashley E Russo, Masaya Nakauchi, Mark Schattner, Luke V Selby, Gabriel Herrera, Laura Tang, Mithat Gonen

Abstract read
In one paragraph

Article in Annals of surgical oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Initiation of a robotic pancreatoduodenectomy program using virtual collaboration.HPB : the official journal of the International Hepato Pancreato Biliary Association · 2024
    Article
  4. Cost Analysis for Robotic and Open Gastrectomy.Annals of surgery open : perspectives of surgical history, education, and clinical approaches · 2024
    Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Short-Term and Textbook Surgical Outcomes During the Implementation of a Robotic Gastrectomy Program.Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract · 2023
    Article
  10. Article
  11. Review
  12. Article
  13. Fifty years of progress in gastric cancer.Journal of surgical oncology · 2022
    Article
  14. Article
  15. Article
  16. Trends in clinical outcomes and long-term survival after robotic gastrectomy for gastric cancer: a single high-volume center experience of consecutive 2000 patients.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2022
    Article
  17. Article
  18. Review
  19. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Vivian E StrongDepartments of Surgery, Gastric and Mixed Tumor Service, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA. strongv@mskcc.org.
Ashley E RussoDepartments of Surgery, Gastric and Mixed Tumor Service, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
Masaya NakauchiDepartments of Surgery, Gastric and Mixed Tumor Service, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
Mark SchattnerDepartments of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Luke V SelbyDepartments of Surgery, Gastric and Mixed Tumor Service, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
Gabriel HerreraDepartments of Surgery, Gastric and Mixed Tumor Service, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
Laura TangDepartments of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Mithat GonenDepartments of Biostatistics and Epidemiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Elisa de Stanchina · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

backgroundWhile multiple Asian and a few Western retrospective series have demonstrated the feasibility and safety of robotic-assisted gastrectomy for gastric cancer, its reliability for thorough resection, especially for locoregional disease, has not yet been firmly established, and reported learning curves vary widely. To support wider implementation of robotic gastrectomy, we evaluated the learning curve for this approach, assessed its oncologic feasibility, and created a selection model predicting the likelihood of conversion to open surgery in a US patient population. PATIENTS AND

methodsWe retrospectively reviewed data on all consecutive patients who underwent robotic gastrectomy at a high-volume institution between May 2012 and March 2019.

resultsOf the 220 patients with gastric cancer selected to undergo curative-intent robotic gastrectomy, surgery was completed using robotics in 159 (72.3%). The median number of removed lymph nodes was 28, and ≥ 15 lymph nodes were removed in 94% of procedures. Surgical time decreased steadily over the first 60-80 cases. Complications were generally minor: 7% of patients experienced complications of grade 3 or higher, with an anastomotic leak rate of 2% and mortality rate 0.9%. Factors predicting conversion to open surgery included neoadjuvant chemotherapy, BMI ≥ 31 kg/m

conclusionsThese findings support the safety and oncologic feasibility of robotic gastrectomy for selected patients with gastric cancer. Proficiency can be achieved by 20 cases and mastery by 60-80 cases. Ideal candidates for this approach are patients with few comorbidities, BMI < 31 kg/m

Indexed as

AdenocarcinomaLaparoscopyRobotic Surgical ProceduresStomach NeoplasmsGastrectomyHumansLymph Node ExcisionReproducibility of ResultsRetrospective StudiesTreatment OutcomeUnited States

Identifiers

PMID32656721
PMCPMC8323985

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Registered trials

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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.