Antemortem diagnostic tests and treatment outcomes using ivermectin in 13 cases of presumptive feline neurocuterebriasis.
Bibliographic record
Abstract
Background: Limited reports exist on the antemortem presumptive diagnosis and treatment of feline neurocuterebriasis. A 3-day treatment protocol reported for 3 cats had no adverse effects. This protocol comprised ivermectin (0.4 mg/kg), diphenhydramine (4 mg/kg), and dexamethasone (0.1 mg/kg) given q24h. Objective: To describe the treatment outcomes for cats that received the 3-day ivermectin protocol and antemortem diagnostic methods used before. Animals and procedure: Medical records from a single veterinary referral centre were searched to identify cats treated with the 3-day protocol. Variables extracted included signalment, season, history, neurological examination findings, and advanced diagnostic tests, as well as outcomes based on follow-up. Results: Thirteen cats were diagnosed based on advanced imaging. Ten of 13 also underwent cerebrospinal fluid analysis. Other diagnostic factors included season (July through September), signalment (young to middle-aged), lifestyle (outdoor access), history (7/13 cats showed upper respiratory signs preceding neurological deficits), and clinical signs (central neurological deficits). After being treated with the 3-day ivermectin protocol, 10/13 cats improved. Three cats were euthanized after showing worsening clinical signs. Conclusion and clinical relevance: Outcomes using the 3-day ivermectin protocol appeared favorable. This provided insight about a treatment option for a periodic cause of feline encephalomyelopathy that has potential for deployment in first-opinion practice.
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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 | 0.002 |
| 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 | 0.001 | 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 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".