Investigating Operative and Non-operative Treatments for Patella Fractures in Elderly, Low-demand Patients
Bibliographic record
Abstract
Management protocols for displaced patella fractures in older (≥65 years) patients are lacking. While surgery is recommended for displaced fractures and non-operative management is suggested for non/minimally-displaced fractures in young/active patients, it is unclear if this algorithm is applicable to older, low-demand patients. The purpose of this thesis was to evaluate outcomes following operative and non-operative patella fracture management in older patients. Through an orthopaedic surgeon survey, we found that there remains a lack of consensus on the degree of displacement warranting operative management. Through a database study of 6258 patients, we found that re-operation rates are high, and emergency department readmissions are common but generally unrelated to patella fracture diagnosis. These results suggest that managing fractures in older patients is complex, and complications are prominent. Future studies comparing both interventions are needed. Protocols for a multicenter retrospective study and prospective randomised trial to address these questions are also presented.
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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 | 0.003 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".