P‐66 Disseminated histiocytic sarcoma in a dog receiving long‐term immunosuppressive therapy
Bibliographic record
Abstract
A 4‐year‐old female Labrador retriever that had been receiving prednisolone for over 8 months because of severe pruritus developed iatrogenic Cushing's syndrome and was referred to our hospital. After complete withdrawal of prednisolone, atopic dermatitis was diagnosed, based on clinical signs, history, an elimination diet test and an intradermal test. Immunotherapy was started, but it was discontinued 3 months later due to lack of improvement. Several drugs, including prednisolone and cyclosporine, were used in an attempt to control the pruritus, and amitriptyline was added for psychogenic treatment. When the dog was 5.5 years old, dome‐shaped and nonpainful nodules were detected on the digits, neck and shoulder. Three months after the first nodule was detected, nodules had developed all over the body, and most were ulcerated. The nodules were examined histopathologically and the diagnosis was disseminated histiocytic sarcoma. As disseminated histiocytic sarcoma has a reportedly poor prognosis, only antibiotic therapy in addition to continuous amitriptyline and prednisolone administration was pursued. The dog died 6 months after the first nodule was detected. The dog received immunosuppressive agents long‐term to control severe pruritus due to atopic dermatitis. There is a possibility that a long‐term immunocompromised state may lead to the development of neoplasms, such as disseminated histiocytic sarcoma. Funding: Self‐funded.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".