Treatment of Naturally Notoedres cati-infested Cats with a Combination of Imidacloprid 10 % / Moxidectin 1 % Spot-on (Advocate® / Advantage® Multi, Bayer)
Bibliographic record
Abstract
Notoedric mange (feline scabies) is a rare, but highly contagious disease of cats and kittens caused by Notoedres cati (N. cati), which can infest other animals and also humans. The study objective was to determine the efficacy and safety of 10 % imidacloprid/ 1 % moxidectin (Advocate®/Advantage® Multi spot-on for cats) against natural N. cati infestation in cats. Sixteen cats were randomly assigned to treatment group or negative control using pre-treatment mite counts. The treatment group received a single spot on treatment of the investigational veterinary product (IVP) according to label instructions. The control group stayed untreated. Five cats from the negative control were treated with the IVP at the end of the study and observed for 28 days to increase the treatment group. Skin scrapings and mite counts were performed 28 days post treatment (p.t.). Notoedric skin lesion assessments with clinical scoring were performed regularly. Five animals had to be removed prematurely from the study population due to different reasons. The number of viable N. cati mites in all treated animals 28 days p.t. was zero compared with 2.8 ± 3.0 in the negative control, being significantly lower for treated cats (p = 0.0019, Wilcoxon test). The resulting efficacy was 100 %. Clinical cure based on skin lesion assessment was achieved 28 days p.t. in 100 % of all treated animals completing 28 study days. The IVP was well tolerated and applied at the minimal therapeutic dose (10 mg imidacloprid/1 mg moxidectin/kg body weight) a high therapeutic efficacy in curing N. cati infestations and feline scabies clinical symptoms was recorded.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.001 | 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".