Hematological Parameters of Dogs Infected With Canine Parvovirus Enteritis in Sumy Ukraine
Bibliographic record
Abstract
Canine parvovirus enteritis is highly contagious acute enteritis associated with high morbidity and mortality, with very low survival rates in untreated dogs. It is caused by canine parvovirus type 2. It generally affects dogs up to 6 months old. All breeds of dogs are affected although Rottweiler, Doberman pinscher, American Pit-bull terrier, Labrador retriever and German shepherd are at increased risk of infection. Blood is regarded as fluid that aid in the assessment of the health status of animals. Hematology of infected dogs can help in giving an idea about the severity of infection, guide in deciding the treatment protocol and prognosis of the disease. Twenty-nine dogs with clinical signs consistent with canine parvovirus presented at Health Veterinary Clinic in Sumy, Ukraine were analyzed. They were diagnosed using rapid in-clinic enzyme immunoassay test kits (SensPERTreg, VetAll Laboratories, Kyunggi-Do, Korea). Data indicated that 31.0% (9/29) of the puppies had received at least 1 dose of multivalent vaccine which included Biocanreg, Vanguard 5 plusreg and Novibacreg. Temperature and Hematology were collected on the day of admission. 2mL of blood were collected from the cephalic vein of each dog into a test tube containing ethylenediaminetetraacetic acid. The Hematologial parameters (RBC, HGB, PCV, WBC, NEU, MON, EOS, LYM and PLT) were determined by using automated blood counter. The most common hematological finding in all dogs was anemia, thrombocytopenia, pancytopenia (leucopenia, neutropenia and lymphopenia), leucocytosis, neutrophilia, eosinophilia, lymphocytosis and monocytosis.nbsp All the hematological abnormalities witnessed in this study are consistent with CPVE. This is an indication that different dogs will present different cell mediated immune responses during the course of the disease.
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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".