Effect of exercise on kinetic gait analysis of dogs afflicted by osteoarthritis
Bibliographic record
Abstract
OBJECTIVE: To evaluate the effects of moderate exercise on kinetic gait analysis using a force platform in dogs with hindlimb lameness due to osteoarthritis (OA). METHODS: Ten control dogs (Control) and 10 dogs presented with chronic and stable hindlimb lameness (OA) were recruited. Dogs were subjected to force platform gait analysis to determine baseline data. They were thereafter trotted for a distance of 1.2 km on a short leash, lead by the same handler at a gait convenient for each of them (ranging from slow to fast trot), after which the gait analysis was immediately repeated to determine post-exercise values. Peak and impulse of the vertical and braking / propulsion forces were analysed using a linear model for repeated measures and Bonferroni sequential correction. RESULTS: In the Control group, the differences between baseline and post-exercise data were not significant. Conversely, post-exercise peak (p = 0.020) and impulse (p = 0.009) values of the vertical force, as well as the peak of the propulsion force (p = 0.009) values were significantly lower than baseline in the OA group. CLINICAL RELEVANCE: This study demonstrates the significant effect of a moderate amount of exercise in exacerbating hindlimb lameness in dogs clinically afflicted by OA. It is suggested that: 1) exercise should be considered as a potential factor of variation in future force platform gait analyses and an effort should be made to limit bias in data recording; and 2) an exercise-based protocol could be added to the standard force platform gait analysis to potentially increase its sensitivity in the detection of lame dogs.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".