AB135. 33. Role of trabecular metal augments for Paprosky type 3 defects in acetabular revision
Bibliographic record
Abstract
Background: Trabecular metal augments are one option when reconstructing bone loss during acetabular side revision surgery. Methods: We studied 38 consecutive patients with Paprosky type 3 defects that were revised using a Trabecular Metal shell and one or more augments over a 6-year period. There were 29 Paprosky type 3A defects and 9 Paprosky type 3B defects. The mean age of the patients at time of surgery was 68.2 years (range, 48–84 years). The mean length of follow-up was 36 months (range, 18–74 months). Results: The mean pre-operative SF12 improved from 27.7 before operation to 30.1 at the time of final follow-up (P=0.001). The mean Western Ontario and McMaster Universities Arthritis Index (WOMAC) score improved from 53 pre-operatively to a mean of 78.8 at final follow-up (P<0.0001). There was evidence of radiographic loosening in seven of the cup-augment constructs. One patient developed a deep infection requiring re-revision. Two patients required revision for aseptic loosening. Conclusions: The use of Trabecular Metal augments in complex acetabular reconstruction is associated with good outcome in the short to medium term.
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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 | 0.000 | 0.000 |
| 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) | 0.000 | 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".