Evidence map›Paper›PMID 42903278›Full record

ArticlePlastic and reconstructive surgery. Global open2026

Microsurgical Training and Skill Acquisition: A Systematic Review and Meta-analysis.

Abigail E Elliott, Travis M Page, Corné P G Nel

Abstract read
In one paragraph

Article in Plastic and reconstructive surgery. Global open, 2026. 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.

Abigail E ElliottFrom the Department of Plastic and Reconstructive Surgery, University of the Free State, Bloemfontein, South Africa.
Travis M PageFrom the Department of Plastic and Reconstructive Surgery, University of the Free State, Bloemfontein, South Africa.
Corné P G NelDepartment of Plastic Surgery, Faculty of Health Sciences, University of the Free State, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Simulation in the context of microsurgical training has been explored and examined in the literature with a difference of opinion regarding the optimal model to use for the training and acquisition of microsurgical skills. In some reports, the fidelity of the live animal models offers the opportunity learn surgical as well as surgical-scenario contextualized skills that a less realistic model is unable to offer. In other publications, the skills that can be taught on lower fidelity models are equivalent and offer a more viable and feasible approach to surgical training. Methods: A systematic review of the available microsurgical simulation models was performed with a focus on the acquisition of microsurgical skills measured with validated microsurgical instruments. A meta-analysis of the subgroups was then performed to identify the optimal microsurgical training tool. Results: All training with simulation models resulted in large and statistically significant improvements in microsurgical skills across the range of groupings of microsurgical simulations. This effect was consistently identified across the different groups. Conclusions: Choosing a model to train microsurgical skills may be less important than initially thought. Across the range of living and nonliving biological models and synthetic models, the potential to improve microsurgical skills significantly is available regardless of which simulation model is chosen.

Identifiers

PMID42903278
PMCPMC13680914

What OpenQuestion holds

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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.