Quantifying the Ototoxicity of Mitomycin: Before versus after Myringotomy
Bibliographic record
Abstract
OBJECTIVES: Recent research has focused on mitomycin C (MMC) application as a means to circumvent complications that arise when using ventilation tubes during myringotomy. This study has two aims: (1) to synergize the current literature to create a standardized clinical approach for using MMC, and (2) to determine at which point during the myringotomy the application of MMC proves the safest (i.e., before or after incision). METHODS: We measured the auditory brainstem response (ABR) and distortion product otoacoustic emissions (DPOAE) in 9 female chinchillas to determine whether applying MMC before or after incision was also the safest. The tests were then repeated on days 3, 10 and 17. RESULTS: The change in the ABR thresholds from baseline was greater in the experimental than in the control group; however, after stratification, the 'after' group experienced a statistically significant change (19.38 ± 8.26) on day 17, whereas the 'before' group did not (2.00 ± 3.26; p = 0.003). No such changes were seen with DPOAE testing. CONCLUSIONS: Mitomycin is less ototoxic to the middle ear when applied before myringotomy is done. We recommend future studies to apply the clinical approach we have designed to standardize its use in selected cases.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".