Update on the aetiopathogenesis of canine cranial cruciate ligament disease
Bibliographic record
Abstract
Cranial cruciate ligament disease (CCLD) is the most common cause of hindlimb lameness in the dog, being associated with and eventually leading to stifle osteoarthritis. Canine cranial cruciate ligament disease is a gradual degeneration of the ligament extracellular matrix (ECM) leading to ligament rupture. The aetiopathogenesis of this condition is still poorly understood but several risk factors have been identified such as breed, bodyweight, gender and conformation. Recent developments in this area include the role of genetics, stifle joint conformation, ligament ECM metabolism, and inflammation associated with immune-mediated disease within the stifle joint. A genetic mode of inheritance has been demonstrated in the Newfoundland which is predisposed to CCLD. Increased cellular metabolism within the cranial cruciate ligament has been directly associated with increased craniocaudal stifle joint laxity in dog breeds at high risk of CCLD. Conformation abnormalities, such as a narrowed distal femoral intercondylar notch, in high risk breeds have been shown to be associated with alterations in cranial cruciate ligament ultrastructure. Increased production of inflammatory cytokines, such as cathepsins and interleukins, by the stifle synovial cells may occur secondary to or may be an inciting cause of ligament degeneration. Future research endeavours will focus on the association between immune-mediated response and fibrocartilaginous metaplasia and matrix degradation within the cranial cruciate ligament, and whether this can be altered in all susceptible dogs or only certain breeds.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.003 |
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".