Intratympanic Dexamethasone to Prevent Cisplatin Ototoxicity
Bibliographic record
Abstract
OBJECTIVE: To determine whether intratympanic administration of dexamethasone reduces ototoxicity from systemic cisplatin. STUDY DESIGN: Prospective animal study. Setting. Cisplatin chemotherapy induces ototoxicity manifesting as irreversible, sensorineural hearing loss. This is due to damage to the inner ear structures by free radicals. Steroidal anti-inflammatories have been shown to reduce the formation of free radicals and protect hearing in animal models. SUBJECTS AND METHODS: Pure tone auditory brainstem responses were obtained in 58 female albino guinea pigs before and 3 days after intraperitoneal (IP) cisplatin chemotherapy. Auditory brainstem responses were also taken up to 1 month after a low dose of cisplatin. Part I consisted of a dosing study to determine the optimal ototoxic dose of cisplatin. In part II, auditory brainstem response thresholds were compared after bilateral intratympanic dexamethasone doses to act as controls. For part III, the otoprotection of dexamethasone against cisplatin was tested in separate bilateral and unilateral studies. RESULTS: IP injection of 12 mg/kg of cisplatin induced significant hearing loss (57.2 ± 4.4 dB, P < .01) with 0% mortality. Ears treated with intratympanic dexamethasone alone showed no significant threshold changes. Ears that received IP cisplatin and intratympanic dexamethasone showed reduced threshold shifts at 8 kHz when the greatest concentration of dexamethasone was administered. CONCLUSION: Modest intratympanic dexamethasone otoprotection of the guinea pig ear was greatest at the highest concentration tested and occurred in a frequency-dependent manner. Intratympanic dexamethasone presents as a safe, simple, and effective treatment modality to minimize cisplatin ototoxicity without interfering with the chemotherapeutic effects of cisplatin.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".