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Record W4388485695 · doi:10.1016/j.orthop.2023.11.001

Exploration of the vascular angiosome of the extended lateral arm free flap: A cohort study in cadavers

2023· article· en· W4388485695 on OpenAlexaff
Jay P. Narula, Jason D. Wink, Joseph Catapano, Christopher L. Forthman, Valeriy Shubinets

Bibliographic record

VenueOrthoplastic Surgery · 2023
Typearticle
Languageen
FieldMedicine
TopicReconstructive Surgery and Microvascular Techniques
Canadian institutionsSt. Michael's Hospital
Fundersnot available
KeywordsMedicineEpicondyleCadaverForearmAnatomyMicrosurgerySurgeryFree flap

Abstract

fetched live from OpenAlex

ABSTRACT The lateral arm flap is a highly reliable and versatile fasciocutaneous flap for extremity reconstruction. The flap can be harvested in an extended fashion to include the thin skin of the proximal forearm. In the extended version, the maximum amount of skin that can be harvested from the forearm remains unknown. We performed a cohort fresh frozen cadaver dye injection study to investigate this question. A total of seventeen cadaver flap dissections were performed. Our primary goal was to capture the complete angiosome of the extended lateral arm flap, including length and width. Our secondary goal was to explore how much of the flap can be safely harvested distally, past the lateral epicondyle. The overall mean area of dye staining was 23.48±4.60 cm 2 , which represents the angiosome of the flap. The dye traveled an average of 3.60±4.94 cm into the forearm, past the lateral epicondyle, which suggests a “safe” zone for distal flap harvest. In conclusion, the extended lateral arm flap is a versatile option for extremity reconstruction and can be safely harvested distal to the lateral epicondyle. There is likely a limit, however, to how far distally the skin paddle can extend, which can be explored in future research.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.372

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.022
GPT teacher head0.248
Teacher spread0.226 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2023
Admission routes1
Has abstractyes

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