Low-dose intratympanic gentamicin treatment for dizziness in Ménière's disease.
Bibliographic record
Abstract
OBJECTIVE: Intratympanic gentamicin is used to control dizziness of Ménière's disease, with a low rate of morbidity and a high success rate. We aimed to develop a new technique and schedule of therapy using a lower dose. DESIGN: A retrospective chart review in Ménière's disease patients treated for intractable dizziness. SETTING: A tertiary/quaternary care outpatient setting. METHODS: Patients were administered intratympanic gentamicin using a low-dose protocol on 2 successive days and evaluated with pre- and post-treatment audiovestibular assessment. MAIN OUTCOME MEASURES: Standard evaluation methods of audiovestibular function measured pre- and postfunction of hearing and balance to determine the effects of treatment and morbidity in the form of hearing loss. A telephone follow-up survey was also undertaken. RESULTS: Patients reported satisfactory control of dizziness, with little morbidity in the form of hearing loss. We also found that the use of a myringotomy tube could be precluded. Post-treatment symptoms of imbalance reported by patients settled as patients compensated. In a telephone survey conducted some years after treatment, patient satisfaction was found to be high. CONCLUSIONS: This two-dose regime was shown to be effective in controlling dizzy spells. In patients refractory to the initial two-dose treatment, a follow-up course of treatment usually proved effective. Long-term follow-up of patients seems to show that failure of treatment usually occurs within the first few months, and that symptoms, once controlled, rarely recur.
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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 | 0.000 | 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) | 0.001 | 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".