Diagnosis and Therapeutic Management of Diabetes Mellitus in Canine
Bibliographic record
Abstract
AbstractDiabetes mellitus (DM) is a common endocrine disorder affecting both canines and felines, characterized by persistent hyperglycemia and glucosuria due to either decreased production or decreased action of insulin or both. In this study, during the period of two years, a total of 2500 dogs were presented to the clinics and out of these 254 dogs were having primary complaint of polyuria and polydipsia. Among these a vast majority of the dogs were diagnosed with chronic kidney disease (58.2%) followed by hepatic disease (24.4%) and pyometra (09%) and only seven animals (2.7%) were diagnosed with DM based on persistent hyperglycemia (390.71mg/dL) and glucosuria (3+). Majority of these animals were females (n=5) and rest were males (n=2). The most commonly presented breeds were Dachshund (57.1%) followed by Labrador retriever (28.5%), pug and Shih-tzu (14.2% each) respectively. Most prevalent age group during this study was 4-5 years as all the females affected were falling in this age group. Rest of the two males were of 09 and 11 yrs, respectively. Clinical signs in these dogs included polyuria, polydipsia, weight loss in all the animals. Inappetence (71.4%), polyphagia (28.5%) and vomiting (28.5%) were seen uncommonly. Complications associated with DM in this study include cystitis (28.5%) and cataract (28.5%), respectively. Treatment was done based on American Animal Hospital Association (AAHA) guidelines with exogenous administration of insulin along with strict dietary management and implementation of exercise in routine schedules. Remission time in these dogs was 15 d and average dose of insulin was 0.63 IU/kg. The present study concluded the need of more elaborative studies as the present sample size was less and the importance of dietary management and exercise among pet owner.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".