Retrospective evaluation of facilitated pastern ankylosis using intra‐articular ethanol injections: 34 cases (2006–2012)
Bibliographic record
Abstract
REASONS FOR PERFORMING STUDY: While surgical arthrodesis is the treatment of choice for osteoarthritis of the proximal interphalangeal joint, some clients are unable to pursue surgery due to costs. A more economical technique was sought using intra-articular ethyl alcohol injections to facilitate ankylosis. OBJECTIVES: To describe the technique and outcome of intra-articular ethyl alcohol injections for facilitated ankylosis of proximal interphalangeal joints with osteoarthritis. METHODS: As a retrospective case series, the medical records (2006-2012) of clinical cases diagnosed with proximal interphalangeal joint osteoarthritis treated with intra-articular ethyl alcohol injections were reviewed. Cases with follow-up of at least 6 months were included. Technique and outcome were determined. Evaluation of outcome was assessed using return to previous performance or intended use and owner satisfaction as the indicators of success. Soundness and level of work are also reported. RESULTS: Thirty-four horses were included in the study. At the time of follow-up, 17 horses (50%) were sound, while 13 horses (38%) were improved but not sound. One horse's lameness was unchanged, and 3 horses were lost to follow-up. The median time until horses became sound or returned to work was 8 months. Six horses had complications, 4 of which were mild and transient. CONCLUSIONS AND POTENTIAL RELEVANCE: The use of intra-articular ethyl alcohol in the proximal interphalangeal joint in horses affected by osteoarthritis appears to be a viable method for facilitated ankylosis if surgical management is not an option.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".