Evidence map›Paper›PMID 35601206›Full record

ArticleJournal of orthopaedics

A novel arthroscopy training program based on a 3D printed simulator.

J Ferràs-Tarragó, N Jover-Jorge, I Miranda-Gómez

Abstract read
In one paragraph

Article in Journal of orthopaedics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Trial
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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

3 authors.

J Ferràs-TarragóHospital Arnau of Vilanova, Valencia, Spain.
N Jover-JorgeLa Fe Hospital, Valencia, Spain.
I Miranda-GómezHospital Arnau of Vilanova, Valencia, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Arthroscopy is the most important and exciting contribution to sports medicine of the last 100 years. One of its main limitations, however, is the steep learning curve it requires, which is not easy to beat given the scarcity and the high price of arthroscopy simulators. Hypothesis/purpose: To describe and evaluate the effectiveness of an open-access arthroscopy training program based on a 3D-printed simulator. Methods: A model was designed, which was to be printed on a fused filament fabrication (FFF) 3D printer for home use with polylactic acid (PLA) filaments. Fourteen exercises were prepared, each with its timeframe and conceptual goals, arranged from least difficult to most challenging. Exercises were designed to assist subjects in developing the skills of an experienced arthroscopic surgeon through use of the simulator. Twenty subjects from nine hospitals completed the arthroscopy training program. Performance in each exercise was evaluated according to the Arthroscopic Surgical Skill Evaluation Tool (ASSET), taking into account the number of times a student had to repeat each exercise to complete it successfully. Results: The mean ASSET score for each exercise was 22 points (IQR 19-25) and the mean number of times students had to repeat each exercise was 16 (95% CI 15.27-17.97). Eighty-five percent of subjects completed the program. The device was printed without difficulty by an independent investigator without prior knowledge of 3D printing. The price of the device was under US$ 12. Conclusion: Subjects exhibited an improvement in their basic arthroscopic skills on the simulator. The number of times each of them had to repeat each exercise was similar, which is indicative of a smooth progression of difficulty along the program. The device proved easy to print, accessible, economical, and effective. This is the first structured program based on an open-access arthroscopic simulator to obtain satisfactory results.

Indexed as

3D printingArthroscopy practiseArtrhoscopy learning curvePatient safety

Identifiers

PMID35601206
PMCPMC9118355

What OpenQuestion holds

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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.