Evaluation of the Safety of Multiple Intramuscular Doses of Ketoprofen in Bearded Dragons (Pogona vitticeps)
Bibliographic record
Abstract
Abstract Cyclooxygenase (COX) 1 has been shown to increase significantly in inflamed ophidian skin and chelonian muscles. Nonselective COX-1 and COX-2 inhibitors, such as ketoprofen, could therefore reduce inflammation more effectively than preferential COX-2 inhibitors in reptiles. The objective of this study was to evaluate potential adverse effects of ketoprofen in bearded dragons (Pogona vitticeps). Thirteen adult bearded dragons were divided into three groups receiving daily intramuscular injections for 14 days in a blinded randomized study design. Group 1 (n = 5) received saline, Group 2 (n = 4) received ketoprofen at 2 mg/kg (diluted 1:10 with saline) and Group 3 (n = 4) received ketoprofen at 20 mg/kg (undiluted). Biochemical values, fecal occult blood (FOB) tests, and blood clotting time were assessed before and after the 2-wk treatment. Renal, digestive, hepatic, and muscular histopathology was evaluated. Clinically, injection-site reactions were noted in Group 3 only (n = 1/4). No other clinical adverse effects were detected. No changes were detected in plasma biochemical values and clotting times before and after treatments, nor were changes detected between control and treatment groups. No lesion associated with ketoprofen toxicity was detected on histologic examination of the kidney, liver, and gastrointestinal tract. Lesions of muscular necrosis at the injection sites were of higher magnitude in Group 3 compared to Group 1. In conclusion, daily intramuscular administration of diluted ketoprofen at 2 mg/kg for 14 days did not cause adverse effects in a small number of bearded dragons, whereas severe muscular necrosis was detected at 20 mg/kg.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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".