Clinical Assessment after Periprosthetic Distal Femur Fracture Repair with Weight-Bearing CT
Bibliographic record
Abstract
IPeriprosthetic distal femur fractures (PDFFs) following total knee arthroplasty (TKA) pose a growing challenge due to rising TKA rates and aging populations. This thesis examines the efficacy of open reduction and internal fixation (ORIF) with locking plates in 16 patients at Western University's London Health Sciences Centre, Canada. It utilizes Su and Rorabeck-Taylor classification systems and weight-bearing computed tomography (WBCT) to evaluate outcomes. All patients achieved radiographic union at one year without complications, yet patient-reported outcomes (KOOS Pain: 62.1, ADL: 47.9, KSS: 37.1, UCLA: 3.7) revealed moderate functional recovery with persistent limitations, showing no correlation with fracture type or screw placement. WBCT enhanced stability assessment. While ORIF ensures bone healing, the findings highlight the need for improved rehabilitation strategies. This study informs PDFF management, significant given Canada's projected $13 billion TKA burden by 2030.
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 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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".