Abstracts: 31<sup>st</sup> Annual Meeting of the American College of Veterinary Ophthalmologists, Montreal, Canada. October 11–15, 2000
Bibliographic record
Abstract
Purpose: To assess the effectiveness of oral interferon upon Collie fibrous histiocytomas when other modalities were ineffective or intolerable. Interferons are a group of related cycloproteins forming part of the cytokines. Of the three groups of interferons designated as a, b, and g, the product is inexpensive and easily obtained. It is manufactured by recombinant DNA technology that employs genetically engineered Escherichia coli. Idiopathic ocular granulomas, fibrous histiocytomas, nodular granulomatous episclerokeratitis, recurrent proliferative keratoconjunctivitis, and chronic granulomatous inflammations may be a disease syndrome that is one and the same in dogs. It affects the cornea, limbus, conjunctiva, episclera, nictitans, lid margins, and mucocutaneous junctions of the nose and lips. Methods: The initial case was treated with oral Interferon a 2a (Roferon-A by Roche, Bazel, Switzerland), 80 IU/dog, because it was either refractory to conventional treatments or hypersensitive to medications causing a flair-up of a chronic colitis or seizures. Treatments tried prior to Interferon a2a included oral azathioprine, tetracycline and niacinamide, cimetidine, l-asparaginase, chlorambucil and prednisone as well as topical corticosteroids, subconjunctival corticosteroids, cryosurgery, and surgical debulking. Results: The lesions biopsied showed predominantly lymphocytes, plasma cells, histiocytes, and fibrocytes. After 1 month, noticeable lesion changes in size with no new lesions appearing were observed. After 2 months, the lesions had resolved and only crusty skin and alopecia remained at lesion sites. Continued use for 2 months showed normal areas where lesions had been. Interferon a 2a was used alone on three other Collies with fibrous histiocytomas for 6 months; all resolved. Conclusions: Idiopathic ocular granulomatous disease of Collies has been found to be responsive to oral Interferon a2a at an empirical dose of 80 IU/dog/day for 6 months. Dose formulation: Three million IU of powdered Roferon-A is hydrated and added to 1 litre of IV Baxter 0.9% NaCl (remove 27 cc first, to account for overfill), giving 3000 IU/mL. Divide into 1 ml aliquots to be frozen. Dispense 99 mL distilled water and 1 mL diluted Roferon into 4 ounce prescription brown bottle (30 IU/cc). Keep refrigerated; good for 1 month.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".