MétaCan
Menu
Back to cohort
Record W4415449007 · doi:10.1177/0310057x251364278

Do not stop teaching anaesthesia trainees direct laryngoscopy

2025· article· en· W4415449007 on OpenAlexaff
Anthony M.‐H. Ho, Glenio B. Mizubuti, Daenis Camiré, Jordan Leitch, Tracy Cupido, Saam Azargive, Cian Hurley

Bibliographic record

VenueAnaesthesia and Intensive Care · 2025
Typearticle
Languageen
FieldMedicine
TopicAirway Management and Intubation Techniques
Canadian institutionsKingston Health Sciences CentreQueen's University
Fundersnot available
KeywordsLaryngoscopyEndotracheal intubationIntubationLaryngoscopesTracheal intubationAnesthesiologyPrimary care

Abstract

fetched live from OpenAlex

Videolaryngoscopy is superior to direct laryngoscopy in difficult intubation and is quicker to master. Some anaesthesiologists have advocated for videolaryngoscopy as the primary tool for endotracheal intubation. We argue that while prioritising videolaryngoscopy allows earlier success and skill retention for novices and doctors who only occasionally intubate, anaesthesiology residents must achieve proficiency in both techniques since not only do they have ample opportunity, but there are situations in which direct laryngoscopy can be either a rescue or even the primary technique.

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)0.005
metaresearch head score (Gemma)0.060
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: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.035
Threshold uncertainty score0.116

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.060
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0030.003
Scholarly communication0.0020.003
Open science0.0020.003
Research integrity0.0080.008
Insufficient payload (model declined to judge)0.0350.037

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 head0.014
GPT teacher head0.295
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
GenreCommentary

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

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueAnaesthesia and Intensive CareSame topicAirway Management and Intubation TechniquesFrench-language works237,207