Evidence map›Paper›PMID 40933722›Full record

ReviewPorto biomedical journal

Simulation models for training skin flap and graft surgery in the head region: a narrative review.

Margarida Nogueira, Abel Nicolau, Cristina Granja

Abstract readReview
In one paragraph

Review in Porto biomedical journal. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Margarida NogueiraFaculty of Engineering, University of Porto, Porto, Portugal.
Abel NicolauRISE-Health, Faculty of Medicine, University of Porto, Porto, Portugal.ORCID https://orcid.org/0000-0001-7683-5467
Cristina GranjaRISE-Health, Faculty of Medicine, University of Porto, Porto, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The demand for skill development in the surgical field is critical to achieve the best functional and aesthetic patient results. Therefore, the use of simulation models has become necessary and integrated in training, holding substantial importance in skin reconstruction in the head. These models, while varying for realism and training applications, offer a low-stress, safe, and replicable environment for interns and residents to enhance their surgical technique. Objective: The aim of this review was to analyze the various head simulators designed for skin flap and skin graft training. The anatomical representation, selected materials, manufacturing process, and validation approaches were examined to provide an overview of the characteristics of the models. In addition, their impact on training was assessed, categorizing the outcome as positive, negative, or with no effect, based on the findings of the reviewed studies. Methods: Published literature on PubMed and Scopus was gathered through relevant keywords and phrases related to dermatological facial surgery simulators. A narrative synthesis was conducted based on the reporting guidelines of the synthesis without meta-analysis method. The head models were evaluated with overall performance as the primary outcome and confidence, planning and design, and execution as the secondary outcomes. Results: Thirteen studies on head models for skin procedures were identified between 2004 and 2023. All the simulators reviewed demonstrated variability for supported techniques, composition, manufacturing methods, anatomical detail, and validation approach. Eleven studies demonstrated that the models improved at least one of the selected outcomes. No model was targeted for skin graft reconstruction. Furthermore, none of the models integrated objective feedback mechanisms. Conclusions: Simulation was proved to enhance the surgical training of dermatological reconstructions in the head, despite variations in realism, complexity and production process. Future efforts should prioritize higher anatomical accuracy, cost-efficiency, and integration of feedback mechanisms to improve the educational value of these tools.

Indexed as

dermatologyhead modelshead surgerysimulationsurgical training

Identifiers

PMID40933722
PMCPMC12419284

What OpenQuestion holds

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LicenceCC BY
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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.