Evidence map›Paper›PMID 34169372›Full record

ArticleSurgical endoscopy2022

A new basic thoracoscopic surgical skill training and assessment system using automatic scoring techniques.

Jian Zhou, Hu Liao, Zhangyu Lin, Mengyuan Lyu, Weelic Chong, Nan Chen, Yang Hai, Zihuai Wang, Tianjian Lu, Lunxu Liu

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 37% of its field
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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

10 authors at 2 institutions in 2 countries.

Jian ZhouDepartment of Thoracic Surgery, West China Hospital, Sichuan University, No. 37, Guoxue Alley, Chengdu, Sichuan, 610041, China.
Hu LiaoDepartment of Thoracic Surgery, West China Hospital, Sichuan University, No. 37, Guoxue Alley, Chengdu, Sichuan, 610041, China.
Zhangyu LinWest China School of Medicine, Sichuan University, Chengdu, 610041, China.
Mengyuan LyuWest China School of Medicine, Sichuan University, Chengdu, 610041, China.
Weelic ChongSidney Kimmel School of Medicine, Thomas Jefferson University, Philadelphia, PA, 19107, USA.
Nan ChenDepartment of Thoracic Surgery, West China Hospital, Sichuan University, No. 37, Guoxue Alley, Chengdu, Sichuan, 610041, China.
Yang HaiDepartment of Thoracic Surgery, West China Hospital, Sichuan University, No. 37, Guoxue Alley, Chengdu, Sichuan, 610041, China.
Zihuai WangDepartment of Thoracic Surgery, West China Hospital, Sichuan University, No. 37, Guoxue Alley, Chengdu, Sichuan, 610041, China.
Tianjian LuDepartment of Thoracic Surgery, West China Hospital, Sichuan University, No. 37, Guoxue Alley, Chengdu, Sichuan, 610041, China.
Lunxu LiuDepartment of Thoracic Surgery, West China Hospital, Sichuan University, No. 37, Guoxue Alley, Chengdu, Sichuan, 610041, China. lunxu_liu@aliyun.com.ORCID 0000-0003-3964-5378
Sichuan University · CNThomas Jefferson University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWe report a new thoracoscopic surgical skill training and assessment system with automatic scoring techniques, the Huaxi Intelligent Thoracoscopic Skill Training and Assessment (HITSTA) system. We also evaluated the discriminative ability of this system compared to our conventional scoring method at our institution.

methodsWe retrospectively collected training data of thoracic board-certified thoracic surgeons at West China Hospital, Sichuan University from January 1, 2018 to January 1, 2019. Surgeons were assessed by HITSTA system and human examiners simultaneously. Total scores were summed from 3 tasks (grasping with delivery, pattern cutting, and suture with knot). Bland-Altman analysis was used to test agreement of scores made by HITSTA system (automatic scoring) and human examiners (manual scoring). Differentiation ability was also compared between the two scoring methods.

resultsThirty-nine surgeons were recruited. Scores made by HITSTA system and human examiners were not consistent. For suture with knot, automatic scoring method could detect the score differences between different training status (trained: 26.92 ± 12.04, untrained: 19.85 ± 11.12; p = 0.026) and training duration (< 10 h: 20.67 ± 15.23,  ≥ 10 h: 31.92 ± 5.56; p = 0.003). For total scores, automatic scoring approach could discriminate between different training status (trained: 71.90 ± 12.63; untrained: 61.41 ± 13.87; p = 0.016) and training duration (< 10 h: 65.23 ± 15.31;  ≥ 10 h 77.23 ± 6.94; p = 0.046).

conclusionHITSTA system could discriminate the different levels of thoracoscopic surgical skills better than the traditional manual scoring method. Larger prospective studies are warranted to validate the differentiation ability of HITSTA system.

Indexed as

Internship and ResidencyResearch DesignClinical CompetenceEducational MeasurementHumansRetrospective StudiesSuture TechniquesAutomatic assessmentSurgical trainingThoracoscopy

Identifiers

PMID34169372
OpenAlexW3176077703

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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.