Evidence map›Paper›PMID 38769358›Full record

ArticleScientific reports2024

A 3D printed esophageal atresia-tracheoesophageal fistula thorascopy simulator for young surgeons.

Joong Kee Youn, Dayoung Ko, Hee-Beom Yang, Hyun-Young Kim

Abstract read
In one paragraph

Article in Scientific reports, 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. Review
  2. Review
  3. Article
  4. Clinical challenges and outcomes of thoracoscopicAnnals of surgical treatment and research · 2025
    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

4 authors.

Joong Kee YounDepartment of Pediatric Surgery, Seoul National University Hospital, Seoul, Korea.
Dayoung KoDepartment of Pediatric Surgery, Seoul National University Hospital, Seoul, Korea.
Hee-Beom YangDepartment of Pediatric Surgery, Seoul National University College of Medicine, 101 Daehak-ro, Jongro-gu, Seoul, 03080, Korea.
Hyun-Young KimDepartment of Pediatric Surgery, Seoul National University Hospital, Seoul, Korea. spkhy02@snu.ac.kr.

Funding

SNUH Research Fund 0420222040
6 · The paper itself

Abstract

We developed a 3D-printed thoracoscopic surgery simulator for esophageal atresia with tracheoesophageal fistula (EA-TEF) and assessed its effectiveness in educating young pediatric surgeons. Prototype production and modifications were repeated five times before producing the 3-D printed final product based on a patient's preoperative chest computed tomography. A 24-item survey was used to rate the simulator, adapted from a previous report, with 16 young surgeons with an average of 6.2 years of experience in pediatric surgery for validation. Reusable parts of the thoracic cage were printed to combine with replaceable parts. Each structure was fabricated using diverse printing materials, and subsequently affixed to a frame. In evaluating the simulator, the scores for each factor were 4.33, 4.33, 4.27, 4.31, 4.63, and 4.75 out of 5, respectively, with the highest ratings in value and relevance. The global rating was 3.38 out of 4, with ten stating that it could be used with slight improvements. The most common comment from participants was that the esophageal anastomosis was close to the actual EA-TEF surgery. The 3D-printed thoracoscopic EA-TEF surgery simulator was developed and reflected the actual surgical environment. It could become an effective method of training young pediatric surgeons.

Indexed as

Esophageal AtresiaPrinting, Three-DimensionalSurgeonsThoracoscopyTracheoesophageal FistulaHumansModels, AnatomicSimulation Training3D printingEsophageal atresiaProfessional education

Identifiers

PMID38769358
PMCPMC11106338

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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.