A clinical study on the incidence and occurrence of atopic dermatitis in dogs
Bibliographic record
Abstract
Canine atopic dermatitis (CAD) is a chronic, pruritic, inflammatory skin disorder with a multifactorial and genetically influenced pathogenesis. The present study was conducted to determine the incidence and occurrence of CAD among dogs presented to the Small Animal Outpatient Unit of Veterinary Clinical Complex, Veterinary College and Research Institute, Namakkal. A total of 882 dermatological cases were examined during the study period and all dogs underwent detailed dermatological evaluation, diagnostic screening and assessment using Favrot’s criteria. Thirty-two dogs fulfilled the diagnostic threshold for CAD, yielding an overall occurrence of 3.63 per cent. Most affected dogs were young adults, with 50 per cent falling in the 1-3 year age group. Breed predisposition was evident, with Beagles (28.13 per cent), Labrador Retrievers (21.87 per cent), and non-descript dogs (18.75 per cent) forming the major proportion of cases. A clear male predominance (71.88 per cent) was observed. The findings align with established epidemiological patterns and reaffirm CAD as a significant allergic dermatitis in dogs. This study provides baseline data on the demographic distribution of CAD and emphasizes the importance of early recognition and accurate diagnosis in clinical 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".