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Record W2138827068 · doi:10.1002/hed.20489

Functional outcomes and donor site morbidity following circumferential pharyngoesophageal reconstruction using an anterolateral thigh flap and salivary bypass tube

2006· article· en· W2138827068 on OpenAlexaff
Dylan J. Murray, Ralph Gilbert, Martin Veselý, Christine B. Novak, Sheryl Zaitlin‐Gencher, Jonathan R. Clark, Patrick Gullane, Peter C. Neligan

Bibliographic record

VenueHead & Neck · 2006
Typearticle
Languageen
FieldMedicine
TopicReconstructive Surgery and Microvascular Techniques
Canadian institutionsPrincess Margaret Cancer CentreToronto General HospitalUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsMedicineSurgeryHead and neckTube (container)ThighComplicationGastrostomy

Abstract

fetched live from OpenAlex

BACKGROUND: This study reports our experience with fasciocutaneous reconstruction of circumferential pharyngoesophageal defects using an anterolateral thigh flap wrapped around a salivary bypass tube. METHODS: The charts of 14 patients were reviewed. All patients who had reconstruction of a pharyngoesophageal defect using an anterolateral thigh flap with a salivary bypass tube between 2001 and 2005 were included. RESULTS: There were 10 men and 4 women (mean age, 61 years). There were no fistulae reported, and the stricture rate was 14%. Eleven patients achieved oral diet sufficient to have the gastrostomy or jejunal tube removed. The patients who had tracheoesophageal puncture for voice developed functional speech. There were no flap losses. However, problems with salivary tube migration in the early cases have led to technique refinement. CONCLUSIONS: The low complication rates and the excellent functional outcomes make the anterolateral thigh flap in combination with a salivary bypass tube a viable option for reconstruction of these difficult defects.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.026
GPT teacher head0.277
Teacher spread0.251 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
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

Citations91
Published2006
Admission routes1
Has abstractyes

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