Evidence map›Paper›PMID 39731598›Full record

ArticleLangenbeck's archives of surgery2024

An effective surgical educational system in the era of robotic surgery: "Double-Surgeon Technique" in robotic gastrectomy for minimally invasive surgery.

Yoshihiko Kakiuchi, Shinji Kuroda, Yusuke Yoshida, Nobuhiko Kanaya, Hajime Kashima, Satoru Kikuchi, Shunsuke Kagawa, Toshiyoshi Fujiwara

Abstract read
In one paragraph

Article in Langenbeck's archives of surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Longitudinal assessment of quality-of-life after gastrectomy for gastric cancer: a prospective study.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2026
    Article
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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.

Yoshihiko KakiuchiDepartment of Gastroenterological Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, 2-5-1 Shikata-Cho, Kita-Ku, Okayama City, Okayama, 700-8558, Japan. y.kakiuchi@s.okayama-u.ac.jp.
Shinji KurodaDepartment of Gastroenterological Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, 2-5-1 Shikata-Cho, Kita-Ku, Okayama City, Okayama, 700-8558, Japan.
Yusuke YoshidaDepartment of Gastroenterological Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, 2-5-1 Shikata-Cho, Kita-Ku, Okayama City, Okayama, 700-8558, Japan.
Nobuhiko KanayaDepartment of Gastroenterological Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, 2-5-1 Shikata-Cho, Kita-Ku, Okayama City, Okayama, 700-8558, Japan.
Hajime KashimaDepartment of Gastroenterological Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, 2-5-1 Shikata-Cho, Kita-Ku, Okayama City, Okayama, 700-8558, Japan.
Satoru KikuchiDepartment of Gastroenterological Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, 2-5-1 Shikata-Cho, Kita-Ku, Okayama City, Okayama, 700-8558, Japan.
Shunsuke KagawaDepartment of Gastroenterological Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, 2-5-1 Shikata-Cho, Kita-Ku, Okayama City, Okayama, 700-8558, Japan.
Toshiyoshi FujiwaraDepartment of Gastroenterological Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, 2-5-1 Shikata-Cho, Kita-Ku, Okayama City, Okayama, 700-8558, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeGastric cancer (GC) remains a major malignancy. Robotic gastrectomy (RG) has gained popularity due to various advantages. Despite those advantages, many hospitals lack the necessary equipment for RG and are still performing laparoscopic gastrectomy (LG) due to its established minimal invasiveness and safety.

methodsThis study assessed the effectiveness of the "Double-Surgeon Technique" (DST) for improving surgical education and proficiency with LG. The DST involves both a console-side surgeon and a patient-side surgeon working actively in RG, enhancing the skill acquisition needed for LG and potentially reducing surgical time. Assessment of this method was performed by surgical time, and cases were divided into three groups: first half (Phase 1: P1) and second half (P2) before the introduction of DST, and after the introduction of DST (P3).

resultsTwo surgical trainees were trained using the DST. The learning curve in both reached a plateau in P2, but descended again in P3. For one trainee, surgical time for P3 was significantly reduced compared to P1 (p = 0.001) and P2 (p = 0.0027) despite the intervals between laparoscopic distal gastrectomy as the main surgeon in P3 being significantly longer than in P2 (p = 0.0094). Other surgical results in both trainees did not differ significantly. Further, no difference in induction phase results of RG were evident between surgeons and trainees with or without DST experience.

conclusionSurgical education using the DST could be effective in the current context of the need for RG and LG.

Indexed as

Clinical CompetenceGastrectomyLaparoscopyLearning CurveRobotic Surgical ProceduresStomach NeoplasmsAgedFemaleHumansMaleMiddle AgedMinimally Invasive Surgical ProceduresOperative TimeEndoscopic surgical skill qualification system qualificationGastrectomyMinimally invasive surgeryRobotic gastrectomySurgical education

Identifiers

PMID39731598
PMCPMC11682005

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.