The early multicentre results of the rebalance total ankle replacement
Bibliographic record
Abstract
Introduction: We present the early results of 220 Rebalance Total Ankle Replacements performed in 6 centres in 4 different countries. Methods: The Rebalance Total Ankle Replacement is a new 3 component uncemented mobile bearing prosthesis with a surface coating of ‘bonemaster’ and an ‘e’ poly bearing. The prosthesis was released in a limited way in May 2011. Since then 220 replacements have been implanted in 218 patients in 6 centres in 4 different countries (UK, Sweden, Canada, Czech Republic). All the x-rays and case notes were reviewed.63 prostheses have a minimum follow up of 2 years. Outcome measures included revision of the prosthesis, and the incidence of progressive and non-progesssive radiolucent lines around the prosthesis. Results: 7 patients underwent revision or are awaiting revision of their prosthesis. Reasons for revision included loosening(2), infection(1), malposition(2), periprosthetic fracture(1), impingement(1). 9 patients had non-progressive radiolucent lines and 2 patients had progressive radiolucent lines. 1 patient with progressive radiolucent lines is waiting revision for suspected infection. 8 patients suffered fractures to the lateral malleolus and 4 to the medial malleolus. There were no cases of balloon osteolysis. 29 patients had pre-op AOFAS scores= 41(12–67). 21 had 1 year post-op AOFAS scores= 73.5(26–100). 12 had 2 year AOFAS scores= 75.5(50–100). Conclusion: The early results are encouraging and we believe support its wider use.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".