Revision Distal Femoral Replacement Using Custom-made Stem and Cone to Augment Proximal Fixation
Bibliographic record
Abstract
Achieving bone fixation during megaprosthesis revision presents a formidable challenge in view of the substantial bone loss. We report treatment of a failed revision distal femoral replacement in an active 36-year-old male mechanic remotely treated for osteosarcoma. A custom stem and cone were manufactured to augment fixation and preserve bone stock within a short segment of the remaining proximal femur. The patient returned to regular function without the need for assistive devices. Follow-up imaging demonstrated stable implant fixation at 1-year follow-up. While cones and sleeves have vastly improved fixation in revision knee arthroplasty, a custom-made cone for the proximal femur was used to augment fixation of a revision megaprosthesis and obviate the use of a total femoral replacement.
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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 | 0.001 |
| 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) | 0.000 | 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 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".