Effects of postoperative administration of ketoprofen or carprofen on short- and long-term results of femoral head and neck excision in dogs
Bibliographic record
Abstract
OBJECTIVE: To determine whether postoperative administration of ketoprofen or carprofen had any effects on short- or long-term results of femoral head and neck excision (FHNE) in dogs. DESIGN: Prospective randomized controlled trial. ANIMALS: 40 client-owned, large-breed dogs undergoing FHNE and 15 healthy large-breed dogs used as controls for hip joint angle measurements and force plate analyses. PROCEDURE: Dogs undergoing FHNE were treated with ketoprofen, carprofen, or a placebo for 21 days after surgery. Hip joint abduction and extension angles were measured at the end of surgery and 120 days later. Lameness scores were assigned, and force plate analyses were performed on days 3, 15, and 120. RESULTS: There were no significant differences among treatment groups in regard to hip joint angles or lameness scores. Force plate analysis revealed that dogs in all 3 treatment groups bore consistently less weight on the operated limb than did control dogs for the duration of the study. Dogs receiving ketoprofen had greater peak propulsive force at a walk on day 3 and greater peak vertical force at a walk on day 15 than did dogs receiving the placebo. Treatment of an acute condition and preservation of the lesser trochanter, but not postoperative analgesic administration, were positively associated with ground reaction forces on day 120. Owners of 12 of 31 dogs indicated that the dog's gait worsened for a few days after discontinuation of analgesic administration. CONCLUSIONS AND CLINICAL RELEVANCE: Administration of ketoprofen or carprofen after surgery was not associated with long-term results of FHNE, probably because of the impact of other factors. Because some owners noticed worsening of the lameness following cessation of analgesic administration in the present study, it is possible that longer administration would have improved long-term results.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".