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Record W4415030733 · doi:10.1097/aco.0000000000001579

Extubation in head and neck surgery

2025· article· en· W4415030733 on OpenAlexaff
Sheila Nainan Myatra, Santiago Chaverra Kornerup, Matteo Parotto

Bibliographic record

VenueCurrent Opinion in Anaesthesiology · 2025
Typearticle
Languageen
FieldMedicine
TopicAirway Management and Intubation Techniques
Canadian institutionsToronto General HospitalUniversity of Toronto
Fundersnot available
KeywordsHead and neck surgeryAirwayContext (archaeology)Head and neckAirway managementHead and neck cancer

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: Extubation is an elective procedure and a critical component of airway management. This review examines the considerations, risk factors, and management strategies for extubation after head and neck surgery, focusing on the specific challenges that differentiate these cases from routine extubations. RECENT FINDINGS: Head and neck procedures often involve critical airway structures, extensive tissue manipulation, and prolonged operative times. Extubation following these procedures frequently carries an increased risk of complications due to surgical site edema, altered anatomy, and proximity of surgical interventions to airway structures. Current guidelines and professional society statements emphasize the importance of comprehensive risk stratification, appropriate timing and setting selection, patient optimization, and multidisciplinary planning when managing these high-risk extubation scenarios. SUMMARY: Extubation in the context of head and neck surgery presents additional challenges due to anatomical alterations and potential for compromised airway access. Successful management requires careful consideration of multiple factors, including patient-specific variables, surgical characteristics, and planned strategies for addressing potential airway complications. A systematic approach incorporating thorough risk assessment, appropriate resource allocation, and comprehensive planning is essential to optimize outcomes in these complex cases.

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)0.000
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 score0.521
Threshold uncertainty score0.314

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.058
GPT teacher head0.371
Teacher spread0.313 · 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

Citations2
Published2025
Admission routes1
Has abstractyes

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