Treatment with Tiludronic Acid Helps Reduce the Development of Experimental Osteoarthritis Lesions in Dogs with Anterior Cruciate Ligament Transection Followed by Reconstructive Surgery: A 1-Year Study with Quantitative Magnetic Resonance Imaging
Bibliographic record
Abstract
OBJECTIVE: to investigate over a 1-year period in dogs that underwent extracapsular stabilization surgery (ECS) following anterior cruciate ligament (ACL) transection: whether reconstructive surgery could prevent osteoarthritis (OA) progression and whether treatment with the bisphosphonate tiludronic acid (TA) could improve the chronic evolution of OA structural changes. METHODS: ACL transection was performed on dogs on Day 0 and ECS on Day 28. Dogs were randomly divided into 2 groups: 15 received placebo and 16 were treated with TA (2 mg/kg subcutaneous injection) on Days 14, 28, 56, and 84. Magnetic resonance images were acquired on Days -10, 26, 91, 210, and 357, and cartilage volume was quantified. At sacrifice (Day 364), cartilage from femoral condyles and tibial plateaus was macroscopically and histologically evaluated. Expression levels of MMP-1, -3, -13, ADAMTS-4, -5, BMP-2, FGF-2, IGF-1, TGF-ß1, collagen type II, and aggrecan were determined using real-time RT-PCR. RESULTS: the loss of cartilage volume observed after ACL transection stabilized following ECS. Thereafter, a gradual gain occurred, with the cartilage volume loss on the tibial plateaus reduced at Day 91 (p < 0.02) and Day 210 (p < 0.001) in the TA-treated dogs. At sacrifice, TA-treated dogs presented a reduction in the severity of macroscopic (p = 0.03 for plateaus) and histologic (p = 0.07 for plateaus) cartilage lesions, had a better preserved collagen network, and showed decreased MMP-13 (p = 0.04), MMP-1 and MMP-3 levels. CONCLUSION: our findings indicate that in dogs with ACL transection, ECS greatly prevents development of cartilage volume loss. Treatment with TA provided an additional benefit of reducing the development of OA lesions.
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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 | 0.001 | 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 | 0.000 |
| 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".