Acetabular dysplasia: a comparison of periacetabular osteotomy results of patients older and younger than 35 years.
Bibliographic record
Abstract
OBJECTIVE: Patient age has been reported to be an important determinant of treatment success in developmental dysplasia of the hip (DDH). This study aimed to determine the efficacy of periacetabular osteotomy (PAO) in DDH patients aged ≥ 35 years and to compare patient-reported and radiological outcomes with a control cohort of younger patients. PATIENTS AND METHODS: This retrospective analysis included 43 patients (23 aged < 35 years; 20 aged ≥ 35 years) who underwent unilateral Bernese PAO for symptomatic DDH, between May 2001 and August 2015. Patients with a history of ipsilateral pelvic osteotomy or other pelvic pathologies were excluded. To evaluate the morphology of the dysplastic hip joints, 11 conventional radiographic measures were taken. Preoperative and postoperative Harris Hip Scores, postoperative visual analogue scale scores, Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) scores, and hip range of motion measurements were used for clinical evaluation. RESULTS: Of the 43 patients, 31 (72.1%) were women and 14 (27.9%) were men. The average age was 32 (range: 19-45) years. Regarding sex, surgery site, mean body mass index and mean follow-up time, there were no significant differences between the groups. Both groups showed significant differences in radiographic parameters before and after the PAO. There were no significant differences in preoperative or postoperative clinical outcomes between the groups, except for the WOMAC score. CONCLUSIONS: PAO can be performed safely to treat acetabular dysplasia in patients aged ≥ 35 years, before the onset of femoroacetabular osteoarthritis, with satisfactory clinical and functional outcomes.
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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 | 0.001 | 0.001 |
| 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".