RADIOTHERAPY AND SURGERY FOR FELINE SOFT TISSUE SARCOMA
Bibliographic record
Abstract
Medical records for 79 cats with soft tissue sarcomas treated with preoperative or postoperative curative intent radiation therapy between August 1994 and February 2004 were reviewed. The purpose was to assess the effectiveness of preoperative and postoperative radiation therapy, and to determine the association of patient and radiation treatment variables with survival. Gender, age, weight, anatomic tumor site, packed cell volume (PCV), computerized vs. manual treatment planning, radiation field length, preoperative vs. postoperative irradiation, total radiation dose, and biologically effective dose (BED) were assessed as prognostic factors for survival. Fifty-six of 79 (71%) of cats were anemic within 2 weeks before or during radiation treatment. The median survival was 520 days for all cats, with a 1-year survival rate of 61.6%, and a 2-year survival rate of 41.6%. Only timing of radiation therapy relative to surgery and presence of a moderate or severe anemia were significantly related to survival. The median survival was 310 days for cats treated with preoperative radiation therapy, and 705 days for cats treated with postoperative radiation therapy (P = 0.03). The median survival was 308 days for cats with a PCV<25%, and 760 days for cats with a PCV > or = 25% (P = 0.017). Radiation therapy in combination with surgery results in relatively long-term survival in cats with soft tissue sarcomas. Anemia is common in cats undergoing radiation therapy for soft tissue sarcomas, and is associated with decreased survival.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.000 |
| 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 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".