The role of intratympanic lactate injection in the prevention of cisplatin‐induced ototoxicity
Bibliographic record
Abstract
OBJECTIVES/HYPOTHESIS: There is no approved agent to prevent cisplatin-induced ototoxicity. Our objectives were to: 1) identify and compare the effect of intratympanic injections of lactate or N-acetylcysteine (NAC) in the prevention of cisplatin-induced ototoxicity, 2) investigate inner ear protection using a scanning electron microscope, and 3) study systemic diffusion of intratympanic NAC. STUDY DESIGN: Prospective animal study. METHODS: Sixteen guinea pigs formed two groups, and respectively received intratympanic lactate and 20% NAC in one ear. The contralateral ears received a control saline solution. After 30 minutes, an intraperitoneal cisplatin injection of 3 mg/kg was performed and repeated eight times, once a week, to achieve 24 mg/kg. Auditory brainstem responses (ABRs) were recorded before any injection, after 9 mg/kg and after 24 mg/kg of cisplatin for the frequencies 2, 4, 6 and 8 kHz. Cochleas were analyzed under scanning electron microscope. Systemic diffusion of NAC was studied using high-performance liquid chromatography. RESULTS: For the control ears, ABR thresholds increased uniformly and averaged 28.4 dB. The lactate group showed a lower threshold increase and averaged 17.0 dB. The NAC showed an important threshold increase of 89.0 dB. Lactate showed a significant hearing protection at 2000 Hz (P < .01). Electron microscopy revealed partial preservation of outer hair cell stereocilia for the ears treated with lactate and severe disruption for NAC group. No systemic diffusion of NAC was observed with chromatography. CONCLUSIONS: Intratympanic lactate offers significant partial protection against cisplatin-induced ototoxicity at midfrequencies. High-concentration NAC does not seem a viable solution as it causes a considerable inflammatory reaction. NAC does not diffuse systemically.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".