Obturator nerve impingement as a severe late complication of bilateral triple pelvic osteotomy
Bibliographic record
Abstract
A four-year-old female spayed Labrador Retriever, which had undergone bilateral triple pelvic osteotomy (TPO) at the age of eight months, was presented with severe progressive shifting pelvic limb lameness for a duration of three months prior to presentation. The dog had multiple episodes of showing signs of excruciating pain, as well as an inability to rise or ambulate, inappetance, and lethargy. Orthopaedic examination revealed severe bilateral pelvic limb muscular atrophy, and signs of severe pain on abduction of the pelvic limbs, on rectal palpation ventrally, and on palpation of the region of the iliopsoas and pectineus muscles bilaterally. Surgery was indicated to explore the region and to release the pectineus and iliopsoas muscles. During surgery, callus tissue and the free section of pubic bone were found to be impinging on the obturator nerve at the previous TPO pubic osteotomy site bilaterally. On both sides, a 1 to 2 cm segment of pubis and fibrous callus tissue were excised and the obturator nerves were freed from the impingement. Immediately after the surgery, the patient's stance and gait were dramatically improved. The dog could maintain a much broader based stance and make longer strides with the pelvic limbs. At the two month follow-up examination, there were not any signs of lameness noted. Obturator nerve impingement can be a serious potential complication of TPO and may manifest clinically as marked pelvic limb lameness years after surgery.
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 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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| 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".