Prevalence and Clinical Manifestations of Diabetes Mellitus in Canines: A Study from the Jaipur Region of Rajasthan
Bibliographic record
Abstract
This study aimed to govern the prevalence and document the clinical signs of diabetes mellitus (DM) in dogs from the Jaipur region of Rajasthan, conducted between August 2024 and January 2025. A total of 200 dogs, representing various age groups, breeds, and genders, were examined based on the presence of symptoms such as polydipsia, obesity, polyuria, significant weight loss, polyphagia, rapidly progressing bilateral cataracts, or a combination of these signs. The canines suspected of suffering from diabetes mellitus were subjected to screening utilizing an on-site glucometer for the assessment of fasting blood glucose concentrations. Individuals demonstrating blood glucose concentrations exceeding 140 mg/dl were classified as diabetic and subsequently integrated into the research investigation. The findings indicated that 13 dogs satisfied the established diagnostic criteria for diabetes mellitus. The aggregate prevalence of diabetes mellitus within the canine demographic was ascertained to be 6.5%. Among the breeds, Labrador Retrievers exhibited the highest rate of diabetes. Dogs over six years of age, particularly females, were more likely to develop the condition. The common clinical manifestations observed in the 13 diabetic dogs included polyphagia, polyuria, polydipsia, weight loss, vomiting, and cataracts
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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 | 0.000 |
| 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".