Evidence map›Paper›PMID 36008213›Full record

ArticleChinese journal of traumatology = Zhonghua chuang shang za zhi2023

Animal model-based simulation training for three emergent and urgent operations of penetrating thoracic injuries.

Wen-Qiong Du, Xin Zhong, Ren-Qing Jiang, Zhao-Wen Zong, Yi-Jun Jia, Zhao Ye, Xiao-Lin Zhou

Abstract read
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Article in Chinese journal of traumatology = Zhonghua chuang shang za zhi, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. A 3D-Printed Dummy for Training Distal Phalanx Amputation in Mice.Animals : an open access journal from MDPI · 2024
    Article
  5. Review
  6. 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

7 authors.

Wen-Qiong DuState Key Laboratory of Trauma, Burn and Combined Injury, Department for Combat Casualty Care Training, Training Base for Army Health Care, Army Medical University, Chongqing, 400037, China.
Xin ZhongState Key Laboratory of Trauma, Burn and Combined Injury, Department for Combat Casualty Care Training, Training Base for Army Health Care & Department of Orthopedics, Xinqiao Hospital, Army Medical University, Chongqing, 400037, China.
Ren-Qing JiangState Key Laboratory of Trauma, Burn and Combined Injury, Department for Combat Casualty Care Training, Training Base for Army Health Care, Army Medical University, Chongqing, 400037, China.
Zhao-Wen ZongState Key Laboratory of Trauma, Burn and Combined Injury, Department for Combat Casualty Care Training, Training Base for Army Health Care & Department of Orthopedics, Xinqiao Hospital, Army Medical University, Chongqing, 400037, China. Electronic address: zongzhaowen@163.com.
Yi-Jun JiaState Key Laboratory of Trauma, Burn and Combined Injury, Department for Combat Casualty Care Training, Training Base for Army Health Care, Army Medical University, Chongqing, 400037, China.
Zhao YeState Key Laboratory of Trauma, Burn and Combined Injury, Department for Combat Casualty Care Training, Training Base for Army Health Care, Army Medical University, Chongqing, 400037, China.
Xiao-Lin ZhouState Key Laboratory of Trauma, Burn and Combined Injury, Department for Combat Casualty Care Training, Training Base for Army Health Care, Army Medical University, Chongqing, 400037, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo develop animal models of penetrating thoracic injuries and to observe the effects of the animal model-based training on improving the trainees' performance for emergent and urgent thoracic surgeries.

methodsWith a homemade machine, animal models of lung injuries and penetrating heart injuries were produced in porcine and used for training of chest tube drainage, urgent sternotomy, and emergent thoracotomy. Coefficient of variation of abbreviated injury scale and blood loss was calculated to judge the reproducibility of animal models. Five operation teams from basic-level hospitals (group A) and five operation teams from level III hospitals (group B) were included to be trained and tested. Testing standards for the operations were established after thorough literature review, and expert questionnaires were employed to evaluate the scientificity and feasibility of the testing standards. Tests were carried out after the training. Pre- and post-training performances were compared. Post-training survey using 7-point Likert scale was taken to evaluate the feelings of the trainees to these training approaches.

resultsAnimal models of the three kinds of penetrating chest injuries were successfully established and the coefficient of variation of abbreviated injury scale and blood loss were all less than 25%. After literature review, testing standards were established, and expert questionnaire results showed that the scientific score was 7.30 ± 1.49, and the feasibility score was 7.50 ± 0.89. Post-training performance was significantly higher in both group A and group B than pre-training performance. Post-training survey showed that all the trainees felt confident in applying the operations and were generally agreed that the training procedure were very helpful in improving operation skills for thoracic penetrating injury.

conclusionsAnimal model-based simulation training established in the current study could improve the trainees' performance for emergent and urgent thoracic surgeries, especially of the surgical teams from basic-level hospitals.

Indexed as

Thoracic InjuriesWounds, PenetratingAnimalsHemorrhageModels, AnimalReproducibility of ResultsSwineThoracotomyAnimal modelEmergent operationsPenetrating thoracic injuriesSimulation trainingUrgent operations

Identifiers

PMID36008213
PMCPMC9912295

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.