Simple mass loading of the tympanic membrane to alleviate symptoms of patulous eustachian tube.
Bibliographic record
Abstract
BACKGROUND: Patulous eustachian tube (PET) has a major impact on a patient's quality of life. The purpose of this study was to understand mechanisms behind the symptoms, develop treatments based on these, and develop and use a questionnaire to measure changes in PET symptoms with a novel intervention. Our hypothesis is that PET symptoms can be addressed at the level of the eardrum more easily than at the level of the eustachian tube. METHODS: In a population of 14 PET subjects and 6 fresh temporal bones, several investigations were performed. Nasal audiometry was used to measure frequencies preferentially transmitted to the ear in PET subjects. An intervention consisting of mass loading of the eardrum was devised in the temporal bones to damp these frequencies. This was then applied to subjects with PET. A questionnaire was developed and administered to measure the response to this intervention. This questionnaire included the more common symptoms associated with PET, such as echoing sounds, increased environmental sounds, and a plugging sensation in the ear. Mass loading of the eardrum was performed with Blu Tack, a clay-like, nontoxic substance. RESULTS/CONCLUSION: Low frequencies are preferentially transmitted in PET, and eardrum vibrations to these can be mitigated with mass loading. Mass loading in human subjects significantly reduced major symptoms of PET, although temporarily.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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 teacher head, 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".