Transtympanic Ringer's lactate application in the prevention of cisplatinum‐induced ototoxicity in a chinchilla animal model
Bibliographic record
Abstract
OBJECTIVE: Ototoxicity is currently the most frequent dose-limiting side effect of cisplatinum chemotherapy. To date, there is no protocol to prevent dose-related ototoxicity, despite its prevalence and predictability. Previous animal studies have found lactate to be effective in the prevention of cisplatinum-induced ototoxicity. The objective of this study was to test the protective benefits of transtympanic Ringer's lactate in the prevention of cisplatinum-induced ototoxicity. STUDY DESIGN: A randomized prospective controlled trial was conducted in an animal model. SETTING: Animal care research facilities of The Montreal Children's Hospital Research Institute. SUBJECTS AND METHODS: A total of 44 chinchillas were exposed to systemic cisplatinum injected intraperitoneally in divided cycles to reach the targeted cumulative dosage of 16 mg/kg. Ototopical application of Ringer's lactate solution 0.2 mL twice per day during the chemotherapy cycles was performed. Each animal had one experimental (Ringer's) and one control ear. Distortion product otoacoustic emissions (DPOAEs) were collected for a wide range of frequencies (between 1 and 16 kHz), and scanning electron microscopy was performed to evaluate the protective effects of Ringer's lactate. RESULTS: Ototopical application of Ringer's lactate solution in our established chinchilla animal model did not provide an otoprotective effect as measured by the DPOAE response and electron microscopy. CONCLUSION: In our study, the intratympanic application of Ringer's lactate solution through a tympanostomy ventilation tube did not provide an otoprotective effect. Further studies are needed to better assess the otoprotective or ototoxic effects of Ringer's lactate and other antioxidants on animal and human hearing.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| 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 | 0.001 | 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".