Gastrocnemius flap reconstruction of soft-tissue defects following infected total knee replacement
Bibliographic record
Abstract
A soft-tissue defect over an infected total knee replacement (TKR) presents a difficult technical problem that can be treated with a gastrocnemius flap, which is rotated over the defect during the first-stage of a revision procedure. This facilitates wound healing and the safe introduction of a prosthesis at the second stage. We describe the outcome at a mean follow-up of 4.5 years (1 to 10) in 24 patients with an infected TKR who underwent this procedure. A total of 22 (92%) eventually obtained a satisfactory result. The mean Knee Society score improved from 53 pre-operatively to 103 at the latest follow-up (p < 0.001). The mean Western Ontario and McMaster Universities osteoarthritis index and Short-Form 12 score also improved significantly (p < 0.001). This form of treatment can be used reliably and safely to treat many of these complex cases where control of infection, retention of the components and acceptable functional recovery are the primary goals.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".