Surgical creation of multiple drainage holes versus local injection of corticosteroids for treatment of aural hematomas in dogs: 51 dogs with 71 aural hematomas (2000–2017)
Bibliographic record
Abstract
OBJECTIVE: To investigate the outcome of surgical creation of multiple drainage holes (MDHs) versus local corticosteroid injection (LCI) for treatment of aural hematomas (AHs) in dogs and identify risk factors for recurrence and development of new AHs. ANIMALS: 51 dogs with 71 AHs. PROCEDURES: Medical records were reviewed, and information on signalment, clinical findings, and outcome was recorded. Recurrence was defined as development of an AH at the primary site after the first month of treatment. Development of a new AH was defined as an AH occurring at a site different from the treated site. RESULTS: The recurrence rate after the first month of treatment was significantly higher following the LCI procedure (17/48 AHs [33%]) than after the MDH procedure (1/24 AHs [4%]). The odds of recurrence increased as the numbers of LCI in the first month increased (OR, 2.414). Recurrent AHs after LCI resolved with additional LCIs; only 1 AH (2%) required a change to MDHs. No recurrence was observed after the eighth month, and the cosmetic results were good. Sixteen of 51 (31%) dogs had multiple or new AHs. The risk of new AHs was higher in Golden Retrievers and Labrador Retrievers and in dogs with allergic dermatitis. CONCLUSIONS AND CLINICAL RELEVANCE: Long-term outcomes suggested that both creation of MDHs and LCI can be therapeutic options for dogs with AHs. However, the risk of new AH development should be considered, especially in retriever breeds and dogs with allergic dermatitis.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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".