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‘Airway Alerts’. How UK anaesthetists organise, document and communicate difficult airway management*

2003· article· en· W2071916940 on OpenAlexaboutno aff
F. A. Barron, D. R. Ball, P. Jefferson, John Norrie

Bibliographic record

VenueAnaesthesia · 2003
Typearticle
Languageen
FieldMedicine
TopicAirway Management and Intubation Techniques
Canadian institutionsnot available
FundersMinisteriet Sundhed ForebyggelseMedical Research CouncilSundhed og Sygdom, Det Frie Forskningsråd
KeywordsMedicineAirwayAirway managementDocumentationIntubationTracheal intubationIntensive care medicineAnesthesia

Abstract

fetched live from OpenAlex

A questionnaire on organisation, documentation and communication of airway problems during anaesthesia was sent to 271 anaesthetic college tutors in the UK. Their responses were compared with three published recommendations. There was a 72% response rate (195/271). The recommendations of the American Society of Anaesthesiologists Task Force on the Management of the Difficult Airway were met by 71% of respondents; 2% met those suggested by the Canadian Airway Focus Group and 2% met those suggested in a standard UK textbook on difficulties in tracheal intubation. Guidelines for management of the difficult airway were available in 142 departments (73%), but only 41 (21%) had guidelines for communication and dissemination of information. We present an 'Airway Alert' scheme which has since been adopted by the Difficult Airway Society.

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)0.009
metaresearch head score (Gemma)0.061
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.061
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.004
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0070.003

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 head0.011
GPT teacher head0.240
Teacher spread0.229 · 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 designQualitative
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

Citations34
Published2003
Admission routes1
Has abstractyes

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