IN-FLIGHT BARODONTALGIA AMONG COMMERCIAL AND MILITARY PILOTS OF PAKISTANI ORIGIN
Bibliographic record
Abstract
Background: Barodontalgia is defined as oral pain occurring due to changes in ambient pressure. It can be severe enough to cause inflight incapacitation and has a tendency to go undiagnosed in regular sickbays. There is a large variation in incidence of Barodontalgia in the literature and major fraction of epidemiological data on Barodontalgia has been compiled from military flight simulations. The aim of this study was to document the frequency of in-flight Barodontalgia in Pakistani military and civilian aircrew. Methods: A cross-sectional study was conducted on (non- patient) civilian as well as military pilots. Subjects were given standardized and anonymous questionnaires to complete regarding demographic and professional characteristics, occurrence of oral pain during flying, character of pain, treatment seeking and recurrence of the pain. Results: Out of the 100 subjects, 51 responded (response rate of 51%), with mean age 30.31 ± 5.634 Years; 17.6% (09) of these participants (All Civilian) reported at least one event of barodontalgia during their career. A total of 88 %( 8/9) of pilots visited their dentists after they had oral pain. The diagnosis rendered by their dental surgeons was always dental pain. None of the patients reported recurrence of the disease or premature mission termination due to dental pain. None of the military Pilots reported a n y e v e n t o f Barodontalgia. Conclusion: Barodontalgia was reported exclusively by commercial pilots, which was of a minor non-recurrent nature and did not disrupt their health or flight routines.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
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".