An Incomplete Periacetabular Osteotomy for Treatment of Neuromuscular Hip Dysplasia
Bibliographic record
Abstract
Standard innominate osteotomies that are recommended for treatment of the typical form of developmental dysplasia of the hip are not recommended for dysplasia associated with neuromuscular disorders. A periacetabular osteotomy that permitted accurate correction of the posterolateral acetabular deficiency was done on 40 patients (50 hips). The purpose of this study was to present the surgical technique, to evaluate whether it can improve acetablular dysplasia, and to provide stable hips. The patients had a mean age of 9.5 years at the time of surgery. The medial cortex of the ilium was left intact, whereas the supraacetabular and retroacetabular cancellous bone, and posterolateral cortical bone were cut. The posterior cut extended down to the triradiate cartilage, or through its former site, respectively. Forty-one hips were evaluated at a mean followup of 5.3 years (range, 2-11.7 years) after surgery. The mean acetabular index improved from 32 degrees preoperatively to 12 degrees at followup. The mean migration percentage improved from 77% to 13%. A redislocation or unstable hip occurred in two patients. According to caregivers, surgery improved personal care, positioning, and comfort. This osteotomy decreases the radius of the elongated acetabulum, provides coverage by articular cartilage particularly at the posterolateral aspect of the acetabulum, and preserves the entire medial wall of the ilium.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".