Evidence map›Paper›PMID 29069892›Full record

ArticleGut and liver2018

Efficacy of a Three-Dimensional-Printed Training Simulator for Endoscopic Biopsy in the Stomach.

Sunpyo Lee, Ji Yong Ahn, Minkyu Han, Gin Hyug Lee, Hee Kyong Na, Kee Wook Jung, Jeong Hoon Lee, Do Hoon Kim, Kee Don Choi, Ho June Song and 1 more

Abstract read
In one paragraph

Article in Gut and liver, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. [Current Endoscopy Training in Korea and Future Aspects].The Korean journal of gastroenterology = Taehan Sohwagi Hakhoe chi · 2022
    Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Training in Endoscopy.Current treatment options in gastroenterology · 2018
    Review
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

11 authors.

Sunpyo LeeDepartment of Gastroenterology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Ji Yong AhnDepartment of Gastroenterology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Minkyu HanDepartment of Clinical Epidemiology and Biostatistics, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Gin Hyug LeeDepartment of Gastroenterology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Hee Kyong NaDepartment of Gastroenterology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Kee Wook JungDepartment of Gastroenterology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Jeong Hoon LeeDepartment of Gastroenterology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Do Hoon KimDepartment of Gastroenterology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Kee Don ChoiDepartment of Gastroenterology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Ho June SongDepartment of Gastroenterology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Hwoon-Yong JungDepartment of Gastroenterology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimsWe used three-dimensional (3D) printing technology to create a new biopsy simulator for the stomach and investigated its efficacy and realism in endoscopic biopsy training.

methodsA novel stomach biopsy simulator, with 10 biopsy sites, was produced using a 3D printer. We enrolled 26 participants, including 10 residents, six first-year fellows, five second-year fellows, and five faculty members. We recorded and reviewed five training sessions and evaluated the simulator with questionnaires using a 7-point Likert scale.

resultsThe mean completion time (seconds) was 244.8±11.5 for the residents, 107.9±33.4 for the first-year fellows, 106.8±20.1 for the second-year fellows, and 103.8±19.2 for the faculty members. The completion time became shorter with repetition and was significantly lower for residents by the fifth trial (first trial, 347.0±159.5; fifth trial, 169.6±57.7; p=0.007). The faculty members strongly agreed that the simulator realistically reflected endoscopic handling and was reasonable for endoscopic training (scores of 6.2±0.8 and 6.4±0.9, respectively). Importantly, experienced endoscopists reported that the difficulty levels of the 10 biopsy sites in the simulator were a realistic match for the actual stomach.

conclusionsThis endoscopic biopsy simulator created using a 3D printer is a realistic and useful method to improve the biopsy skills of trainee endoscopists.

Indexed as

Printing, Three-DimensionalBiopsyClinical CompetenceEndoscopyHumansModels, AnatomicSimulation TrainingStomachBiopsyEducationEndoscopyPrinting, three-dimensionalSimulator

Identifiers

PMID29069892
PMCPMC5832339

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.