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Record W2068012423 · doi:10.1097/mlg.0b013e318148b275

Ototoxicity of Topical Moxifloxacin in a Chinchilla Animal Model

2007· article· en· W2068012423 on OpenAlexaff
Sam J. Daniel, Mélanie Duval, Sofia Sahmkow, Fadi Akache

Bibliographic record

VenueThe Laryngoscope · 2007
Typearticle
Languageen
FieldMedicine
TopicEar Surgery and Otitis Media
Canadian institutionsMcGill UniversityMontreal Children's Hospital
Fundersnot available
KeywordsMoxifloxacinMedicineChinchillaOtotoxicityEardrumHearing lossAntibioticsAudiologyAnesthesiaSurgeryChemotherapyBiology

Abstract

fetched live from OpenAlex

OBJECTIVE: Ciprofloxacin is currently the only proven nonototoxic topical antibiotic. However, its widespread use has resulted in the emergence of antimicrobial resistance. There are also concerns that there is currently no safe alternative to ciprofloxacin for patients with a nonintact eardrum. We thus wished to evaluate whether a moxifloxacin solution is ototoxic when used topically in chinchilla ears in the presence of a pressure-equalizing tube (PET). STUDY DESIGN: A prospective, randomized, controlled trial was conducted in an animal model. METHODS: Twenty chinchillas were included in this study. After bilateral insertion of PETs, four drops of a moxifloxacin solution were delivered twice daily for 7 days in the randomly assigned experimental ear. The control ear received an equal amount of a solution of Ringer's lactate. Distortion product otoacoustic emissions (DPOAE) were recorded at baseline (after PET insertion) and at days 1, 3, 7, 14, and 28 after treatment initiation. RESULTS: When baseline DPOAE measurements were compared with the final measurements at day 28, moxifloxacin caused a statistically significant (P < .05) hearing loss (HL) in the experimental ears for the frequencies between 3.7 and 15 kHz. There was no significant change in hearing in the control ears. CONCLUSION: This represents the first study on the ototoxicity of topical moxifloxacin. Our results demonstrate that moxifloxacin causes HL when used with a nonintact tympanic membrane in a chinchilla animal model.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.140
Threshold uncertainty score0.239

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.017
GPT teacher head0.289
Teacher spread0.272 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations21
Published2007
Admission routes1
Has abstractyes

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