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Record W1977869581 · doi:10.2310/7070.2001.19382

Laryngotracheoplasty Using the Medpor Implant: An Animal Model

2001· article· en· W1977869581 on OpenAlexvenueno aff
Fuad K. Hashem, Mohamad Al Homsi, Z Mahasin, Mamon A. Gammas

Bibliographic record

VenueThe Journal of Otolaryngology · 2001
Typearticle
Languageen
FieldMedicine
TopicTracheal and airway disorders
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineImplantLaryngotracheal stenosisSoft tissueSurgeryAnimal studyDentistryStenosisHead and neckTracheal StenosisAirwayRadiology

Abstract

fetched live from OpenAlex

OBJECTIVE: The Medpor implant (Porex Surgical, College Park, GA) is a porous polyethylene that has been used safely in areas in the head and neck. Medpor allows the in-growth of capillaries and soft tissue and reduces the risk of infection and extrusion. This study was undertaken to evaluate the use of the Medpor implant in laryngotracheal reconstruction and to compare epithelialization of the trachea following two different methods at various intervals. METHODS: Eight beagles were divided into two groups. The first group underwent laryngotracheoplasty using the Medpor implant only, whereas the second group had the Medpor implant lined with a strap muscle flap. One animal from each group was sacrificed at 5-, 7-, 9-, and 12-month intervals. The degree of stenosis, inflammation, and epithelialization were compared. RESULTS: The Medpor implant can safely be used to reconstruct the trachea in this animal model. There is less stenosis and better epithelialization when the Medpor implant is lined with a strap muscle flap. CONCLUSION: The Medpor implant can safely be used in laryngotracheal reconstruction in beagles.

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)0.002
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
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 head0.310
Teacher spread0.270 · 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 designBench or experimental
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

Citations26
Published2001
Admission routes1
Has abstractyes

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