The use of porous titanium acetabular augments in primary total hip arthroplasty for hip dysplasia or rapidly destructive coxopathy
Bibliographic record
Abstract
Aims: This study aimed to evaluate the efficacy of porous titanium acetabular augments in primary total hip arthroplasty (THA) for reconstruction of superolateral acetabular bone defects in patients with Crowe II or higher classes of developmental dysplasia of the hip (DDH) or rapidly destructive coxopathy (RDC). Methods: We conducted a retrospective evaluation of 27 patients (30 hips) who underwent primary THA using cementless cups and porous titanium acetabular augments. The follow-up periods ranged from two to 11 years, with a mean of 5.0 years. The cohort included 22 females (24 hips) and five males (six hips), with a mean age of 67 years (45 to 83) at the time of surgery. Results: At the final follow-up, there was no radiological evidence of loosening or radiolucency around the cups and augments, indicating successful biological fixation in all cases. Clinically, there was a significant improvement in the Western Ontario and McMaster Universities Osteoarthritis Index score, which improved from a mean of 39.1 (SD 14.7) preoperatively to 5.1 (SD 6.4) postoperatively. Conclusion: The use of cementless cups and porous acetabular titanium augments in primary THA for patients with DDH and RDC can lead to considerable clinical improvements and reliable biological fixation, suggesting their potential as a viable solution for managing challenging acetabular defects in these conditions.
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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) | 0.000 | 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".