Meniscal disruption associated with septic arthritis in three neonatal foals
Bibliographic record
Abstract
Summary The objective of this study was to report clinical characteristics, surgical management and medium‐term (6–12 months) outcomes of three Arabian neonatal foals with meniscal disruption associated with septic arthritis of the lateral femorotibial joint. The three neonatal Arabian foals with septic arthritis of the lateral femorotibial joint (LFTJ), were diagnosed with disruption of the lateral meniscal (LM). Suspicion of meniscal pathology was based on ultrasonography, computed tomography (in 2 foals) and confirmed during arthroscopy. Treatment included arthroscopic debridement and lavage of the joint with debridement of the meniscal disruption. Postoperative care included systemic and intra‐articular antimicrobials, based on culture and sensitivity results. Two of the foals received intra‐articular injections of autologous mesenchymal stem cells. Marked LM disruption was observed in the LFTJ of the affected joints of all foals, involving the meniscal body ( n = 3) and caudal horn ( n = 1). Purulent material within the torn tissue was debrided with a synovial resector. Foal 1 was lame‐free as a yearling. Foal 2 was lame at walk at 7.5 months and euthanised due to poor prognosis. Foal 3 showed mild lameness at trot in a straight line at 6 months. Disruption of the LM continued to be visible on US in both foals at these timepoints. It was concluded that meniscal disruption and infection should be considered as a differential in neonatal foals with persistent femorotibial septic arthritis. In such cases, the LM could be the primary nidus of infection.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".