Electrosurgical Tenoscopic Desmotomy of the Accessory Ligament of the Superficial Digital Flexor Muscle (Proximal Check Ligament) in Horses
Bibliographic record
Abstract
OBJECTIVE: To report a tenoscopic technique using monopolar electrosurgery to transect the accessory ligament of superficial digital flexor muscle (AL-SDFM) and outcome in 33 horses. STUDY DESIGN: Case series. ANIMALS: Horses (n=33). METHODS: Medical files and surgery video recordings of horses that had AL-SDFM desmotomy performed by tenoscopy with monopolar electrosurgical electrodes were reviewed. RESULTS: Of 33 horses, 24 were Standardbred racehorses with surgery performed bilaterally for superficial digital flexor tendonitis and 9 horses had flexural deformity. Severe (n=6) and mild (6) intrathecal hemorrhage was the most common intraoperative complication. Large intrathecal vessels including the nutrient artery were successfully electrocoagulated and AL-SDFM transection was completed. Clear/serosanguinous drainage from skin incisions was observed for 4.3±3.3 days (mean, SD). Protracted wound drainage for >4 days occurred in 10 horses, principally in the group treated for flexural deformities (P=.01). CONCLUSIONS: Sixty-four AL-SDFM were transected under tenoscopic observation using monopolar electrodes. Electrocoagulation of large intrathecal vessels, including the nutrient artery, was possible in all cases and allowed completion of desmotomy. Postoperative wound care was similar to routine tenoscopy in most (70%) horses. Aseptic protracted wound drainage was observed in 30% of horses (principally those with flexural deformity), and led to a prolonged hospitalization.
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 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 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 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".