The effects of three‐month oral supplementation with a nutraceutical and exercise on the locomotor pattern of aged horses
Bibliographic record
Abstract
REASONS FOR PERFORMING STUDY: Multiple in vitro studies assessing articular tissues have indicated that glucosamine and chondroitin sulphate may possess anti-inflammatory effects, but little is known of their clinical effects in vivo. Many old horses have stiff joints, which is likely to be attributable to inflammation and therapy with these nutraceutical compounds could improve joint function. OBJECTIVES: To assess the clinical effects of a mixed supplement on the improvement of stiff gait in aged horses. STUDY DESIGN: Randomised, blinded, placebo-controlled study. METHODS: A group of 24 geriatric equids (age 29 ± 4 years; mean ± s.d.) received either 3 months oral supplementation with a test compound (containing glucosamine, chondroitin sulfate and methyl sulfonyl methane), or a placebo. Kinematic outcome criteria (primary: stride length; secondary: carpal flexion, fore fetlock extension and tarsal range of motion) were objectively quantified on a treadmill at a walk and trot before and after treatment. RESULTS: Stride length did not change significantly in the treated horses at the end of the trial. In the control group, carpal flexion and fore fetlock extension were significantly increased (P<0.05). CONCLUSIONS: There were no indications of effect of the supplement on gait characteristics. The observations in the control group may have been due to a habituation or exercise effect. This study does not support the use of a glucosamine/chondroitin sulfate/methyl sulfonyl methane supplement to improve stiff gait in geriatric horses because of the lack of a sizeable effect. The significant changes in gait parameters in the control group may indicate the usefulness of exercise regimens in older horses.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".