MétaCan
Menu
Back to cohort
Record W3012142010 · doi:10.2344/anpr-66-03-04

Alternative Transoral Application of Nasopharyngeal Airways

2020· article· en· W3012142010 on OpenAlexaff
Robert Matsui, Michelle Wong, Brian M. Waters

Bibliographic record

VenueAnesthesia Progress · 2020
Typearticle
Languageen
FieldMedicine
TopicObstructive Sleep Apnea Research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineMacroglossiaAirway obstructionAirwayTongueAnesthesiaAdenoid hypertrophyAirway managementHypoplasiaMouth breathingSurgeryAdenoidBreathingDentistryAdenoidectomyTonsillectomyPathology

Abstract

fetched live from OpenAlex

Transoral application of a nasopharyngeal airway (NPA) is a novel technique for difficult airway management. Clinically, it is an effective alternative for use in nonintubated dental cases under total intravenous anesthesia. This technique can help improve oxygenation and ventilation in clinical situations in which the conventional use of NPAs is ineffective, such as in patients who have findings of obesity; mandibular retrognathia or hypoplasia; maxillary hypoplasia; macroglossia; nasal obstruction secondary to hypertrophic tonsillar, adenoid, and/or lymphoid tissues or nasal polyps; known unusual nasal anatomy (eg, septal deviation); high risk of prolonged epistaxis (eg, patients on anticoagulants); or those who demonstrate mouth-breathing behaviors during deep sedation/nonintubated general anesthesia. After ensuring proper supraglottic placement, the transorally positioned NPA can be further secured with the use of tape for the duration of the dental procedure. Unlike an oropharyngeal airway, this simple and cost-efficient technique facilitates intraoral access for dental treatment.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.002

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 head0.028
GPT teacher head0.309
Teacher spread0.281 · 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 designNot applicable
Domainnot available
GenreMethods

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

Citations5
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueAnesthesia ProgressSame topicObstructive Sleep Apnea ResearchFrench-language works237,207