Evidence map›Paper›PMID 41809320›Full record

ArticleCureus2026

Supermicrosurgery Training Model: A Step-by-Step Illustrated Guide to the Chicken Thigh Free Flap.

Carolina Chaves, Leonor Caixeiro, Filipa Poleri, Horácio Zenha, Horacio Costa

Abstract read
In one paragraph

Article in Cureus, 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

5 authors.

Carolina ChavesPlastic, Reconstructive, Cranio-Maxillofacial and Hand Surgery and Microsurgery Unit, Unidade Local de Saúde Gaia/Espinho, Vila Nova de Gaia, PRT.
Leonor CaixeiroPlastic, Reconstructive, Cranio-Maxillofacial and Hand Surgery and Microsurgery Unit, Unidade Local de Saúde Gaia/Espinho, Vila Nova de Gaia, PRT.
Filipa PoleriPlastic, Reconstructive, Cranio-Maxillofacial and Hand Surgery and Microsurgery Unit, Unidade Local de Saúde Gaia/Espinho, Vila Nova de Gaia, PRT.
Horácio ZenhaPlastic, Reconstructive, Cranio-Maxillofacial and Hand Surgery and Microsurgery Unit, Unidade Local de Saúde Gaia/Espinho, Vila Nova de Gaia, PRT.
Horacio CostaPlastic, Reconstructive, Cranio-Maxillofacial and Hand Surgery and Microsurgery Unit, Unidade Local de Saúde Gaia/Espinho, Vila Nova de Gaia, PRT.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microsurgery is an essential skill of the modern plastic and reconstructive surgeon and one that requires practice to master. Consequently, cost-effective training models, preferentially those that spare living animal sacrifice, are crucial to training. The chicken thigh is an easily obtainable and affordable model that accurately mimics human vessels. In this article, we present an illustrated step-by-step guide to harvest and anastomose a muscular free flap of the chicken thigh, using the puboischiofemoralis pars lateralis muscle. The smallest vessels dissected had a diameter of 0.8 mm, allowing supermicrosurgery training. The puboischiofemoralis muscular flap can be consistently harvested, and its pedicle anastomosed to distal branches of the femoral vessels. The model provided a cost-effective simulation of vessel preparation and anastomosis suitable for microsurgical practice. The puboischiofemoralis complex muscular free flap of the chicken thigh is a reproducible, easily available training model for the practice of microsurgical and supermicrosurgical skills.

Indexed as

chicken thigh free flapmicrosurgery trainingnon-living modelplastic surgerysupermicrosurgery

Identifiers

PMID41809320
PMCPMC12971153

What OpenQuestion holds

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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.