Evidence map›Paper›PMID 38020044›Full record

ArticleOTO open

Comparing Feedback Techniques in Bilobe Flap Simulation Using 3D-Printed Facial Models.

Aryan Shay, Isabella Zaniletti, Hannah Coffman, Sagar Mehta, Gresham Richter

Abstract read
In one paragraph

Article in OTO open. 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
–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

1 citing paper in PubMed.

  1. 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

5 authors.

Aryan ShayDepartment of Otolaryngology-Head and Neck Surgery, Arkansas Children's Hospital University of Arkansas for Medical Sciences Little Rock Arkansas USA.ORCID 0000-0002-0220-0757
Isabella ZanilettiChildren's Hospital Association Lenexa Kansas USA.
Hannah CoffmanDepartment of Otolaryngology-Head and Neck Surgery, Arkansas Children's Hospital University of Arkansas for Medical Sciences Little Rock Arkansas USA.
Sagar MehtaDepartment of Surgery-Division of Plastic and Reconstructive Surgery, Arkansas Children's Hospital University of Arkansas for Medical Sciences Little Rock Arkansas USA.
Gresham RichterDepartment of Otolaryngology-Head and Neck Surgery, Arkansas Children's Hospital University of Arkansas for Medical Sciences Little Rock Arkansas USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To compare live versus delayed feedback on trainee performance of bilobe flaps using 3-dimensional (3D)-printed facial simulators and determine whether these effects are sustained on repeat performance. Study Design: Cohort study. Setting: University of Arkansas for Medical Sciences. Methods: 3D-printed facial models with a nasal ala defect were provided to 18 subjects. Subjects were stratified and randomized based on their training level into 1 of 3 groups corresponding to live feedback (Group 1), delayed feedback (Group 2), and no feedback (Group 3). Subjects performed a bilobe flap following a structured lecture. Four weeks later, subjects independently repeated the exercise on the contralateral ala. Likert surveys were used to assess subjective parameters. Objective grading was performed by a plastic surgeon, which included a point system and score for the overall appearance. Results: Following exercise 1, Group 1 reported a significant improvement in knowledge ( Conclusion: 3D-printed models are valuable in teaching the bilobe flap for nasal defects, with live feedback providing the greatest level of improvement in self-reported knowledge and confidence.

Indexed as

3D printingbilobefacial simulatorfeedbacklocal facial flapresident education

Identifiers

PMID38020044
PMCPMC10631012

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.