Epirubicin in the adjuvant treatment of splenic hemangiosarcoma in dogs: 59 cases (1997–2004)
Why this work is in the frame
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Bibliographic record
Abstract
OBJECTIVE: To determine the efficacy and toxic effects of epirubicin for the adjuvant treatment of dogs with splenic hemangiosarcoma and identify prognostic factors. DESIGN: Retrospective case series. ANIMALS: 59 client-owned dogs that underwent splenectomy for splenic hemangiosarcoma treated with or without epirubicin. PROCEDURES: Medical records were examined for signalment, clinical signs, diagnostic and surgical findings, and postoperative outcome. For dogs treated with epirubicin, dose numbers, intervals, and reductions and type and severity of toxic effects were recorded. Dogs were allotted to 2 groups: splenectomy alone and splenectomy with adjuvant epirubicin treatment. RESULTS: 18 dogs received epirubicin (30 mg/m(2)) every 3 weeks for up to 4 to 6 treatments. Forty-one dogs were treated with splenectomy alone. The overall median survival time was significantly longer in dogs treated with splenectomy and epirubicin (144 days), compared with splenectomy alone (86 days). Median survival time for dogs with stage I disease (345 days) was significantly longer than for dogs with either stage II (93 days) or III disease (68 days). Seven of 18 dogs treated with epirubicin were hospitalized for signs of adverse gastrointestinal effects. Inappetence, long duration of clinical signs, thrombocytopenia, neutrophilia, and high mitotic rate were negative prognostic factors. CONCLUSIONS AND CLINICAL RELEVANCE: Epirubicin may be as efficacious as adjuvant doxorubicin-based protocols, but may result in a higher incidence of adverse gastrointestinal effects. Epirubicin should be considered as an alternative to doxorubicin in dogs with preexisting cardiac disease, as clinical epirubicin cardiotoxicity was not diagnosed in treated dogs.
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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 | 0.005 | 0.002 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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 it