Bibliographic record
Abstract
This chapter presents a case scenario of a 78-year-old female patient with a previously well-functioning right total knee arthroplasty (TKA) who presents to the Emergency Department after suffering a fall from standing height. The management of periprosthetic distal femur fractures can be challenging and is often complicated by poor bone quality or bone stock. Stable components with adequate bone stock are often treated with open reduction and internal fixation (ORIF) with either retrograde intramedullary nailing (RIMN) or periarticular locked plating. Modern implants, including RIMN and locked plating, have been used to treat periprosthetic distal femur fractures. A major concern with ORIF of periprosthetic distal femur fractures is the ability to achieve stable fixation in a short, osteoporotic fragment of distal bone. Extreme distal periprosthetic femur fractures can be adequately managed with ORIF in the setting of a stable femoral component. The chapter provides recommendations for implementing evidence-based practice in the clinical setting.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.053 | 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".