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Record W4401925961 · doi:10.1177/17504589241270238

Postoperative lingual nerve injury following airway management: A literature review

2024· review· en· W4401925961 on OpenAlexaff
Mohamed Aly, Rohan Dadak, Cheng Lin, Kamal Kumar

Bibliographic record

VenueJournal of Perioperative Practice · 2024
Typereview
Languageen
FieldMedicine
TopicAirway Management and Intubation Techniques
Canadian institutionsLondon Health Sciences CentreMcMaster UniversityWestern University
Fundersnot available
KeywordsMedicineCochrane LibraryAirwayAirway managementMEDLINENerve injuryObservational studyIntubationPresentation (obstetrics)EtiologyComplicationLingual nerveAnesthesiaSurgeryRandomized controlled trialTongueInternal medicine

Abstract

fetched live from OpenAlex

Postoperative lingual nerve injury is a rare but serious complication following airway management and can lead to significant discomfort and disability. This literature review explores the aetiology, clinical presentation, management strategies and potential preventive measures for lingual nerve injuries associated with airway management during surgery. A search of PubMed, MEDLINE, EMBASE Science Direct, Cochrane library and Web of Science databases was done since inception to January 2024, including any observational studies and clinical trials describing patients diagnosed with lingual nerve injury following airway instrumentation. Multiple risk factors for lingual nerve injury were identified. Anaesthesia factors include difficulty with intubation and use of laryngeal mask airway. Surgical factors are long duration of operation and surgery of the head and neck. Patient factor includes female sex. Anaesthetists should proactively inform patients about the potential for this nerve injury and control modifiable risk factors to mitigate the risk of injury.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.826
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0010.000

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 head0.028
GPT teacher head0.425
Teacher spread0.398 · 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.

Study designOther design
Domainnot available
GenreReview

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
Published2024
Admission routes1
Has abstractyes

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