Upper airway obstruction due to a change in altitude: First report in fifty years
Bibliographic record
Abstract
BACKGROUND: Air travel mostly causes minor ear, nose and throat complaints. We describe a second report in literature of airway obstruction caused by a drop in atmospheric pressure during a routine commercial flight. CASE PRESENTATION: A 54-year-old male was referred to a head and neck surgeon with a 2 cm left submandibular mass that would enlarge during commercial flights. As the plane gained elevation, the mass would grow and cause him to become stridorous and short of breath. The shortness of breath and stridor would only resolve upon landing of the plane. A CT scan showed a large air sac extending from the larynx at the level of the true vocal cords up to the angle of the mandible. Based on the history and the CT findings a diagnosis of a laryngocele was made. The laryngocele was excised using an external approach, resolving the patient's difficulty with flying. CONCLUSION: This article reports a rare case of upper airway obstruction caused by atmospheric pressure changes during air travel. The reported case is of significance as only a few uncomplicated laryngoceles have been reported to cause airway distress in the literature. This report highlights the epidemiology, presentation, complication and management of laryngoceles.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".