MétaCan
Menu
Back to cohort
Record W2765359924 · doi:10.4103/npmj.npmj_134_17

The use of intubating lightwand in difficult airway patients with limited management options

2017· article· en· W2765359924 on OpenAlexaff
Olumuyiwa A. Bamgbade

Bibliographic record

VenueNigerian Postgraduate Medical Journal · 2017
Typearticle
Languageen
FieldMedicine
TopicAirway Management and Intubation Techniques
Canadian institutionsUniversity of British Columbia Hospital
Fundersnot available
KeywordsMedicineAirwayIntubationLaryngoscopyAirway managementSurgeryAnesthesiaLaryngeal MasksTonsillectomyLaryngeal mask airway

Abstract

fetched live from OpenAlex

The intubating lightwand is a recommended airway management tool in patients with failed direct laryngoscopy or intubation; but the device is under-utilised. This study reports successful lightwand intubation in a cohort of 22 consecutive adult patients with difficult airway; who required endotracheal general anaesthesia, in the presence of limited management options. Patients underwent different procedures: tonsillectomy (2), pharyngeal biopsy (6), abdominal surgery (5), thoracoscopy (3) and maxillofacial surgery (6). All the patients had a difficult airway, reduced mouth opening, neck anomalies and airway scores of Mallampati 3 or 4. They were all intubated easily, promptly and safely with the lightwand. This study shows the utility of lightwand intubation in patients with difficult airway and limited airway management options. The study highlights that the lightwand is durable, portable, cost-effective, easy to use and easy to maintain; compared to other devices for difficult intubation.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.027
GPT teacher head0.272
Teacher spread0.245 · 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 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

Citations8
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueNigerian Postgraduate Medical JournalSame topicAirway Management and Intubation TechniquesFrench-language works237,207