Therapeutic management of Hepatozoon canis induced acute hepatitis in a dog
Bibliographic record
Abstract
A three year old Labrador retriever dog was presented to the Referral Veterinary Polyclinic, Indian Veterinary Research Institute, Izatnagar with a history of vomiting, anorexia, fever and tick infestation. Clinical examination revealed pyrexia, pale conjunctival and oral mucous membrane, hepatomegaly, peripheral lymphadenopathy. Haemato-biochemical evaluation revealed anemia (Hb- 8.1g/dl, RBC- 3.95 millions/mm3, PCV- 25.2%), leukocytosis (21.32×103 cells/mm3), thrombocytopenia (1.12 lakhs/mm3), Hypoalbuminemia (1.44 g/dl), hyperglobulinemia (4.51 g/dl) and elevated levels of blood urea nitrogen (BUN) (37.4 mg/dl), creatinine (2.05 mg/dl), alanine aminotransferase (ALT) (162 U/L) and aspartate aminotransferase (AST) (48 U/L). Blood smear examination revealed Hepatozoon canis gamonts in the neutrophils. The animal was treated with a combination therapy including single dose of Inj. Imidocarb dipropionate (6.6 mg/kg, SC) and Tab. Doxycycline (5 mg/kg, PO, BID) for 28 days. Supportive treatment was done with antiemetics, hepatoprotectants, hematinics, plasma expanders and acaricides. An uneventful recovery was noticed after 28 days of treatment.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".