Evidence map›Paper›PMID 35578050›Full record

ArticleSurgical endoscopy2022

Validation study of a skill assessment tool for education and outcome prediction of laparoscopic distal gastrectomy.

Yo Kurashima, Hidehiko Kitagami, Koichi Teramura, Saseem Poudel, Yuma Ebihara, Noriyuki Inaki, Fumitaka Nakamura, Kazunari Misawa, Kazunori Shibao, Eishi Nagai and 4 more

Abstract read
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In one paragraph

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 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

14 authors.

Yo KurashimaDepartment of Gastroenterological Surgery II, Hokkaido University School of Medicine, Kita-15, Nishi-7, Kita-ku, Sapporo, Hokkaido, 060-8638, Japan. yo.kurashima@huhp.hokudai.ac.jp.ORCID http://orcid.org/0000-0002-7841-5965
Hidehiko KitagamiDepartment of Gastroenterological Surgery, Keiyukai Sapporo Hospital, Sapporo, Japan.
Koichi TeramuraDepartment of Colorectal Surgery, National Cancer Center Hospital East, Kashiwa, Japan.
Saseem PoudelDepartment of Gastroenterological Surgery II, Hokkaido University School of Medicine, Kita-15, Nishi-7, Kita-ku, Sapporo, Hokkaido, 060-8638, Japan.
Yuma EbiharaDepartment of Gastroenterological Surgery II, Hokkaido University School of Medicine, Kita-15, Nishi-7, Kita-ku, Sapporo, Hokkaido, 060-8638, Japan.
Noriyuki InakiDepartment of Gastrointestinal Surgery, Kanazawa University Graduate School of Medical Sciences, Kanazawa, Japan.
Fumitaka NakamuraDepartment of Gastroenterological Surgery, Teine Keijinkai Hospital, Sapporo, Japan.
Kazunari MisawaDepartment of Gastroenterological Surgery, Aichi Cancer Center Hospital, Nagoya, Japan.
Kazunori ShibaoDepartment of Surgey1, School of Medicine, University of Occupational and Environmental Health, Kitakyushu, Japan.
Eishi NagaiDepartment of Gastrointestinal Surgery, Japanese Red Cross Fukuoka Hospital, Fukuoka, Japan.
Yoshimasa AkashiDepartment of Gastrointestinal and Hepato-Billiary-Pancreatic Surgery, Faculty of Medicine, University of Tsukuba, Tsukuba, Japan.
Shuji TakiguchiDepartment of Gastroenterological Surgery, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.
Shinichiro KobayashiDepartment of Surgery, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan.
Satoshi HiranoDepartment of Gastroenterological Surgery II, Hokkaido University School of Medicine, Kita-15, Nishi-7, Kita-ku, Sapporo, Hokkaido, 060-8638, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Japanese operative-rating scale for laparoscopic distal gastrectomy (JORS-LDG) was developed through cognitive task analysis together with the Delphi method to measure intraoperative performance during laparoscopic distal gastrectomy. This study aimed to investigate the value of this rating scale as an educational tool and a surgical outcome predictor in laparoscopic distal gastrectomy.

methodsThe surgical performance of laparoscopic distal gastrectomy was assessed by the first assistant, through self-evaluation in the operating room and by video raters blind to the case. We evaluated inter-rater reliability, internal consistency, and correlations between the JORS-LDG scores and the evaluation methods, patient characteristics, and surgical outcomes.

resultsFifty-four laparoscopic distal gastrectomy procedures performed by 40 surgeons at 16 institutions were evaluated in the operating room and with video recordings using the proposed rating scale. The video inter-rater reliability was > 0.8. Participating surgeons were divided into the low, intermediate, and high groups based on their total scores. The number of laparoscopic surgeries and laparoscopic gastrectomy procedures performed differed significantly among the groups according to laparoscopic distal gastrectomy skill levels. The low, intermediate, and high groups also differed in terms of median operating times (311, 266, and 229 min, respectively, P < 0.001), intraoperative complication rates (27.8, 11.8, and 0%, respectively, P = 0.01), and postoperative complication rates (22.2, 0, and 0%, respectively, P = 0.002).

conclusionsThe JORS-LDG is a reliable and valid measure for laparoscopic distal gastrectomy training and could be useful in predicting surgical outcomes.

Indexed as

LaparoscopyStomach NeoplasmsGastrectomyHumansPostoperative ComplicationsReproducibility of ResultsRetrospective StudiesTreatment OutcomeAssessment scaleGastrectomyLaparoscopyOutcome predictionSkill evaluationSurgical education

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Textmetadata
Read underepoch 390

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.