Clinicopathological Description of a Chronic Lymphocytic Leukemia in a Dog
Bibliographic record
Abstract
Hematopoietic tumors are associated with diagnostic and therapeutic challenges and a poor prognosis. Furthermore, their pathophysiology in dogs is not well understood. Chronic lymphocytic leukemia has been rarely reported in golden retrievers, perhaps due to difficulties in diagnosis and care. An 8-year-old spayed female golden retriever was referred to our hospital with a 2-month history of fatigue, weakness, and selective appetite. The dog was diagnosed with chronic lymphocytic leukemia based on blood smear evaluation. Despite treatment, the dog deteriorated and the owners opted for euthanasia. Histopathological examination revealed atypical lymphocytes in the spleen, extramedullary hematopoiesis in the spleen and liver, bone marrow depletion, moderate neutrophilic myocarditis, and acute renal tubular necrosis. In an immunohistochemical panel, cells in the spleen and bone marrow were positive for anti-CD20, anti-CD45, anti-CD3, anti-IBA-1, anti-Ki67, anti-MUM-1, and anti-PAX-5. In conclusion, the leukemia diagnosis was confirmed through reactive histiocytosis, marked extramedullary hematopoiesis, and other clinical and laboratory findings. Herein, we report a case of chronic lymphocytic leukemia in a female dog with clinical, laboratory, and necroscopy findings.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".