Mosaic arthroplasty in equine stifle and fetlock joints: A retrospective study of 31 cases between 1998 and 2023
Bibliographic record
Abstract
OBJECTIVE: To evaluate the clinical application of equine mosaic arthroplasty for joint surface repair, including outcomes and complications. STUDY DESIGN: Retrospective clinical study. ANIMALS: A total of 31 horses diagnosed with subchondral bone cysts (SBCs) in the femoral condyle (22/31), distal metacarpus (7/31), or metatarsus (2/31). METHODS: Medical records of horses that underwent autologous or allogeneic osteochondral graft transplantation were reviewed. Follow-up lasted at least 12 months. Success was determined in terms of improvements in lameness and post-surgical athletic performance, classified as successful, satisfactory, or unsatisfactory. RESULTS: In total, 68% (21/31) of horses regained soundness and resumed athletic performance at the same or higher level than before surgery. Furthermore, 22% (7/31) and 10% (3/31) exhibited satisfactory and unsatisfactory results, respectively. Seven horses underwent follow-up arthroscopy to treat complications or residual lameness. Among horses with femoral condyle SBCs, 68% (15/22) achieved successful outcomes, compared with 67% (6/9) of those with fetlock SBCs. Age (≤3 vs. >3 years) did not appear to influence outcomes in stifle cases. Horses receiving fewer implanted grafts showed a tendency toward better recovery. CONCLUSION: Mosaic arthroplasty improved lameness in 90% of this mixed-age equine population, with 68% regaining soundness and successfully returning to athletic performance. Unlike other techniques reporting success primarily in 2- and 3-year-old horses, this method could provide an effective surgical alternative for both young and mature horses with SBCs. CLINICAL SIGNIFICANCE: Mosaic arthroplasty may serve as a viable surgical option for managing SBCs.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".