Evidence map›Paper›PMID 37602042›Full record

ReviewCureus2023

Advancing Surgical Education: A Comprehensive Systematic Review with Meta-Analysis and Novel Approach to Training Models for Local Skin Advancement Flaps.

Hatan Mortada, Ghaida AlBraithen, Imtinan Al Jabbar, Abdullah Al Qurashi, Nujaim Alnujaim, Saad Alrobaiea, Abdullah E Kattan, Khalid Arab

Abstract readReview
In one paragraph

Review in Cureus, 2023. 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

8 authors.

Hatan MortadaDivision of Plastic Surgery, Department of Surgery, King Saud University Medical City, King Saud University, Riyadh, SAU.
Ghaida AlBraithenCollege of Medicine, King Saud University, Riyadh, SAU.
Imtinan Al JabbarCollege of Medicine, King Khalid University, Abha, SAU.
Abdullah Al QurashiCollege of Medicine, King Saud Bin Abdulaziz University for Health Sciences, Jeddah, SAU.
Nujaim AlnujaimDivision of Plastic Surgery, Department of Surgery, King Saud University Medical City, King Saud University, Riyadh, SAU.
Saad AlrobaieaPlastic Surgery and Burn Unit, Security Forces Hospital, Riyadh, SAU.
Abdullah E KattanDivision of Plastic Surgery, Department of Surgery, College of Medicine, King Saud University, Riyadh, SAU.
Khalid ArabDivision of Plastic Surgery, Department of Surgery, College of Medicine, King Saud University, Riyadh, SAU.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Performing local skin flaps is a challenging task that requires cognitive and technical skills to design flaps with proper orientation to avoid distorting normal anatomy. Junior trainees need adequate exposure to gain confidence and expertise in such procedures. This article systematically reviews the literature's different local skin advancement flap training models and describes a new, easy-to-use training model. A systematic review was performed following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. PubMed, Cochrane, Web of Science, and Google Scholar databases were searched from their inception until August 2022 for articles about local skin advancement flap training models. The meta-analysis results were pooled across the studies using a random-effects model and presented as a weighted mean difference with a 95% confidence interval (95% CI). Out of 773 reviewed articles, 18 were included in the systematic review, and four reported enough data to be included in the meta-analysis. Rhomboid and Z-plasty flaps were the most commonly taught flaps by training models. The most commonly used training models were synthetic-based, followed by animal-based models. The training models significantly increased the trainees' confidence and expertise regarding local skin flap procedures (p<0.00001) for both domains. Training models, per our reported data, significantly improve the trainees' confidence and expertise in performing local skin advancement flap procedures; continuous efforts in developing and establishing new, simple-to-use, and effective training models are strongly encouraged to further improvement of surgical education and enhance the trainees' surgical skills.

Indexed as

advancement flaplearning modellocal flapplastic surgery trainingresident trainingsimulation

Identifiers

PMID37602042
PMCPMC10433785

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.