Evidence map›Paper›PMID 38793031›Full record

ArticleJournal of personalized medicine2024

Evaluation of a 3D Printed Silicone Oral Cavity Cancer Model for Surgical Simulations.

Donovan Eu, Michael J Daly, Stefano Taboni, Axel Sahovaler, Ashley N Gilbank, Jonathan C Irish

Abstract read
In one paragraph

Article in Journal of personalized medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Donovan EuGuided Therapeutic (GTx) Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2C4, Canada.ORCID 0000-0003-0860-9331
Michael J DalyGuided Therapeutic (GTx) Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2C4, Canada.ORCID 0000-0002-2217-4146
Stefano TaboniGuided Therapeutic (GTx) Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2C4, Canada.
Axel SahovalerGuided Therapeutic (GTx) Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2C4, Canada.
Ashley N GilbankGuided Therapeutic (GTx) Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2C4, Canada.
Jonathan C IrishGuided Therapeutic (GTx) Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2C4, Canada.

Funding

Princess Margaret Cancer Centre 1001
6 · The paper itself

Abstract

Adequate surgical margins are essential in oral cancer treatment, this is, however, difficult to appreciate during training. With advances in training aids, we propose a silicone-based surgical simulator to improve training proficiency for the ablation of oral cavity cancers. A silicone-based tongue cancer model constructed via a 3D mold was compared to a porcine tongue model used as a training model. Participants of varying surgical experience were then asked to resect the tumors with clear margins, and thereafter asked to fill out a questionnaire to evaluate the face and content validity of the models as a training tool. Eleven participants from the Otolaryngology-Head and Neck Surgery unit were included in this pilot study. In comparison to the porcine model, the silicone model attained a higher face (4 vs. 3.6) and content validity (4.4 vs. 4.1). Tumor consistency was far superior in the silicone model compared to the porcine model (4.1 vs. 2.8,

Indexed as

head and neck oncologyoral cavity cancersurgical simulation

Identifiers

PMID38793031
PMCPMC11121819

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.