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Record W2033337006 · doi:10.14740/jmc.v5i3.1757

Airway Management in an Adult Patient With a Large Vallecular Cyst

2014· article· en· W2033337006 on OpenAlexvenueno aff
Azize Beştaş, İsmail Demirel, İrfan Kaygusuz

Bibliographic record

VenueJournal of Medical Cases · 2014
Typearticle
Languageen
FieldMedicine
TopicHead and Neck Anomalies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineEpiglottisCystSurgeryLaryngoscopyAirwayAirway obstructionAirway managementTongueGlottisIntubationLarynxAnesthesiaPathology

Abstract

fetched live from OpenAlex

Vallecular cysts are rarely seen in adults and occur as a result of the tongue base mucus retention. In cases with laryngeal inlet obstruction due to a vallecular cyst, the airway management sometimes might be a challenge. We presented the airway management of an adult patient with difficult airway due to a large vallecular cyst. A 28-year-old male patient with a large vallecular cyst was scheduled for surgical excision of the cyst under general anesthesia. Despite the use of different laryngoscopic blades, no laryngeal structure was seen due to the cystic formation. After aspiration of approximately 20 mL cyst content, the peripheral side of the epiglottis was seen on the left-upper side of the shrunken cyst. Therefore, laryngoscopy was performed by an insertion of the left side of the mouth, and tracheal intubation was achieved by endotracheal tube which was advanced blindly under the epiglottis. A week later, due to cyst reoccurrence, the patient was undergone surgery again. No problem arose during the course of anesthesia, surgical intervention and the postoperative period, and the patient was discharged on the fifth postoperative day. We concluded that the view of the glottis or other laryngeal structures can be obtained by shrinking the vallecular cyst size. J Med Cases. 2014;5(3):160-162 doi: http://dx.doi.org/ 10.14740/ jmc1970e

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0040.003
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 head0.012
GPT teacher head0.285
Teacher spread0.273 · 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 designCase report
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

Citations3
Published2014
Admission routes1
Has abstractyes

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