Traditional Chinese Veterinary Medicine Approach to Canine Splenic Hemangiosarcoma
Bibliographic record
Abstract
Hemangiosarcoma (HSA) is a highly malignant tumor of endothelial cells that comprises approximately 50% of all splenic neoplasms in dogs. It commonly afflicts older, large breed dogs, particularly Golden retrievers, Labrador retrievers and German shepherds. Affected dogs often present for evaluation of acute collapse due to tumor rupture and abdominal hemorrhage. Standard treatment of canine splenic HSA includes splenectomy and subsequent chemotherapy. There are several reported chemotherapy protocols, most of which involve the use of intravenous doxorubicin. Survival rates for dogs with splenic HSA are generally poor. Treatment with surgery (splenectomy) only provides a mean survival of 1-3 months with affected dogs generally succumbing to recurrent and/or metastatic disease. Surgery and chemotherapy improve survival times slightly to a median survival time of 4-6 months. Experiential experience by the authors have noted a better clinical outcome can be achieved using traditional Chinese veterinary medicine (TCVM) treatment. Dogs treated with splenectomy and TCVM have survival times of 3-4 years with a good quality of life. The TCVM treatment survival time for the HSA dogs without splenectomy averages 11-13 months. The primary TCVM Patterns of splenic HSA are Qi Deficiency, Blood Deficiency, and Blood Stasis. This paper will review TCVM Pattern diagnosis and treatment of HSA in dogs along with a case series of 4 dogs.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".