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Record W2344892220 · doi:10.1002/hed.24472

Pedicled adipofascial infraclavicular flap: Elevation technique and its use for maintaining neck contour and vessel coverage after radical and modified radical neck dissection

2016· article· en· W2344892220 on OpenAlexaff
John Yoo, Tsu‐Hui Low, Samantha Tam, Allison Partridge, S. Danielle MacNeil, Anthony C. Nichols, Kevin Fung

Bibliographic record

VenueHead & Neck · 2016
Typearticle
Languageen
FieldMedicine
TopicReconstructive Surgery and Microvascular Techniques
Canadian institutionsVictoria HospitalLondon Health Sciences CentreWestern University
Fundersnot available
KeywordsMedicineSoft tissueHead and neckSurgeryNeck dissectionDissection (medical)Neck injuryPoison control

Abstract

fetched live from OpenAlex

BACKGROUND: The pedicled adipofascial infraclavicular flap (ICF) is based on the anterior perforator of the supraclavicular artery and supplies the fasciocutaneous tissue of the upper chest. This flap may be used to address neck contour defects and vessel coverage after radical and modified radical neck dissections (MRNDs). METHODS: We described the pedicled adipofascial ICF elevation technique and its use immediately after neck dissections in order to maintain soft tissue volume and vessel coverage. A video of the operation is provided. RESULTS: Our results demonstrated satisfactory neck contours with adequate volume replacement, great vessel coverage, and little donor-site morbidity. CONCLUSION: The pedicled adipofascial ICF is a technically straightforward operation with broad possible applications in head and neck surgery. It may be useful to provide vascularized soft-tissue coverage and maintain neck contour after neck dissections. © 2016 Wiley Periodicals, Inc. Head Neck 38: First-1582, 2016.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.532
Threshold uncertainty score0.868

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.016
GPT teacher head0.275
Teacher spread0.259 · 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

Citations10
Published2016
Admission routes1
Has abstractyes

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