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Record W3095222566 · doi:10.1097/gox.0000000000003046

Tubed Anterolateral Thigh Free Flap for Pharyngoesophageal Reconstruction

2020· article· en· W3095222566 on OpenAlexaff
Victoria Kuta, Daniel French, Ayham Al Afif, Jonathan Trites, Matthew H. Rigby

Bibliographic record

VenuePlastic & Reconstructive Surgery Global Open · 2020
Typearticle
Languageen
FieldMedicine
TopicEsophageal and GI Pathology
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMedicineSurgeryEsophagectomyEsophagusPerforationLarynxAirwaySwallowingEsophageal cancer

Abstract

fetched live from OpenAlex

Caustic ingestions can severely injure the upper and lower aerodigestive tract, resulting in detrimental mucosal changes both acutely and chronically. Injuries are most severe following alkaline ingestion. Esophagectomy is often recommended in patients with high-grade esophageal injuries to mitigate the risk of perforation. Esophageal reconstruction after these injuries is often delayed, and staged, allowing adequate tissue stabilization before further manipulation. Here, we report on a 25 year-old woman who presented with a high-grade caustic esophageal injury following the ingestion of an alkaline drain cleaner. She underwent an emergent thoracic esophagectomy, gastrectomy and a cervical salivary esophagostomy. Post-operatively, she developed supraglottic and hypopharyngeal strictures, but maintained a functional larynx. She subsequently underwent a staged, extrathoracic total esophageal reconstruction using an anterolateral thigh (ALT) myocutaneous free flap with laryngeal preservation. Although serial esophageal dilatations and trans-oral laser procedures for pharyngeal strictures were required, she was able to maintain the ability to swallow.

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)0.000
metaresearch head score (Gemma)0.000
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: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.040
GPT teacher head0.290
Teacher spread0.250 · 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

Citations2
Published2020
Admission routes1
Has abstractyes

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