B‐Cell Chronic Lymphocytic Leukemia in a Cat
Bibliographic record
Abstract
BACKGROUND: An 8.8-year-old male neutered Persian cat was presented with a history of recent intermittent mild lethargy, hyporexia, and weight loss. Physical examination revealed pale mucous membranes, an enlarged right mandibular lymph node, and organomegaly suspected to be an enlarged spleen. A CBC showed an extreme leukocytosis composed almost exclusively of small lymphocytes and a moderate, microcytic, slightly regenerative anemia. OBJECTIVES: We aimed to diagnose the cause of the extreme leukocytosis, to classify the circulating leukocytes, and to determine the response to therapy. METHODS: Blood film review, biochemical and iron analysis, abdominal ultrasound, flow cytometric evaluation of leukocytes, serum and urine protein electrophoresis, and polymerase chain reaction for antigen receptor rearrangement (PARR) were performed. RESULTS: Leukocytes were mostly small lymphocytes with scant pale basophilic cytoplasm, and round or convoluted nuclei with coarse to finely clumped chromatin. There was hyperglobulinemia and iron deficiency. Imaging showed splenomegaly and multiple enlarged abdominal lymph nodes. On flow cytometry, the lymphocytes were positive for CD18, CD21, and MHC II, consistent with B-cell lymphocytic leukemia. The cat had mild hyperglobulinemia and 2+ proteinuria, and serum electrophoresis results were interpreted as a polyclonal gammopathy. PARR showed clonal rearrangement of IGH2 and IGH3 loci. Treatment with oral prednisolone and chlorambucil resulted in resolution of the clinical signs and reduction in the leukocytosis. CONCLUSIONS: B-cell chronic lymphocytic leukemia (B-CLL) was diagnosed, which in cats is much less frequent than T-CLL. There was a favorable response to alkylating therapy, and the cat survived for 19 months.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".