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Record W1689169264 · doi:10.1002/lary.24041

Ototoxicity of olive oil in a chinchilla animal model

2013· article· en· W1689169264 on OpenAlexaff
Nader Emami, Sam J. Daniel

Bibliographic record

VenueThe Laryngoscope · 2013
Typearticle
Languageen
FieldMedicine
TopicEar Surgery and Otitis Media
Canadian institutionsMcGill UniversityMontreal Children's Hospital
Fundersnot available
KeywordsMedicineChinchillaTympanic Membrane PerforationMyringotomyPerforationMiddle earEar canalAnimal modelInner earSalineOtotoxicityAudiologyAnesthesiaSurgeryTympanoplastyAnatomyInternal medicineRadiology

Abstract

fetched live from OpenAlex

OBJECTIVES/HYPOTHESIS: Olive oil is often used by patients to soften ear wax or to relieve ear canal obstruction. It is also sold in drugstores as a cerumenolytic. To date, no study has assessed the safety of ototopical olive oil on hearing in the presence of tympanic membrane perforation. The present study aimed to assess the safety of ototopic olive oil on hearing in the presence of tympanic membrane perforation. STUDY DESIGN: Prospective, randomized, controlled trial in a chinchilla animal model. MATERIALS AND METHODS: Eleven chinchillas underwent bilateral myringotomy. In each animal, one ear was randomly assigned to receive olive oil (experimental ear), while the contralateral control ear received normal saline. Auditory brain response (ABR) test was performed at baseline and then 7, 14, and 30 days following the application. RESULTS: At 30 days follow-up, there was no significant change in auditory brain response thresholds at 8, 16, 20, or 25 kHz. Scanning electron microscope imaging showed no damage to the hair cells. CONCLUSION: Olive oil does not seem to cause hearing loss in chinchillas with perforated tympanic membranes. Future clinical studies are required.

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)0.000
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 score0.361
Threshold uncertainty score0.482

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.012
GPT teacher head0.242
Teacher spread0.230 · 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

Citations7
Published2013
Admission routes1
Has abstractyes

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