Prevalence and Therapeutic Management of Hypothyroidism-Associated Canine Demodicosis in and Around Indore, Madhya Pradesh, India
Bibliographic record
Abstract
The present study was carried out to assess the prevalence of hypothyroidism-associated canine demodicosis in and around Indore, Madhya Pradesh. A total of 1,177 canine cases were examined between May 2024 and October 2024. The overall prevalence of hypothyroidism-associated demodicosis was found to be 1.19% (14 out of 1,177 cases). The condition was most commonly observed in dogs over 5 years of age, with a higher incidence in males compared to females. Among the breeds, Labrador Retrievers showed a greater susceptibility. Haemato-biochemical analysis revealed reduced hemoglobin (Hb), packed cell volume (PCV), total erythrocyte count (TEC), lymphocyte count, and serum T4 levels, along with marked leukocytosis, neutrophilia, and eosinophilia. A slight elevation in alanine aminotransferase (ALT) levels was also noted. For treatment, oral administration of levothyroxine sodium at a dose of 0.02 mg/kg body weight once daily for 60 days, Inj. Ivermectin @ 200 μg / kg b.wt. S/C weekly for 4 weeks, Tab. Cephalexin @ 22 mg/kg b.wt. orally BID for 5 days and Tab. Cetirizine HCl @ 1 mg/kg orally OD for 7 days, along with supportive therapy, proved effective in managing hypothyroidism-associated canine demodicosis.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 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".