Double Blinded, Randomized and Controlled Comparative Study Evaluating the Cleaning Activity of Two Ear Cleaners in Client-Owned Dogs with Spontaneous Otitis Externa
Bibliographic record
Abstract
Ear cleaning is a therapeutic component in the management of otitis externa in dogs. The objectives of this study were to evaluate the in vivo efficacy and safety of a new ear cleanser, Sonotix® against EpiOtic® Advanced for the management of canine otitis externa. Eighteen clients owned dogs with a diagnosis of erythemato-ceruminous or purulent otitis externa were prospectively included and randomized to two treatment group: EpiOtic® Advanced and Sonotix®. Cytology and video-otoscopic examination (erythema, amount of cerumen and thickness and surface of ear canal covered by cerumen) of all affected ears were done at D0, both before (T0) and 30 minutes (T0 + 30 min) after ear cleaning. Then an ear medication was applied (Aurizon®, Vetoquinol). Owners were instructed to clean affected ears daily and apply the ear medication 30 minutes later for 5 days (D1-D5). Dogs were seen again at D6 for cytology and video-otoscopic examination. At T0, no significant differences were found between both ear cleansers groups regarding macroscopic and microscopic scorings. At T0 + 30 min and D6 cytological and video-otoscopic scores were significantly decreased (Wilcoxon test; p ® was statistically superior to Epiotic® as evidenced by the median global scores of video-otoscopic examination at T0 + 30 min (Mann Whitney Test, p ® seems to be more effective in removing cerumen than EpiOtic® Advanced.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".