Patellar Resurfacing in Total Knee Arthroplasty
Bibliographic record
Abstract
This chapter presents a case scenario of a 67-year-old woman with end-stage tricompartmental osteoarthritis of the knee, and who is otherwise independent, undergoes elective total knee replacement. Some knee surgeons advocate leaving the native patellar surface intact, others recommend routine resurfacing with a polyethylene component, while yet others recommend selective resurfacing based on one or more patient factors and/or intraoperative findings. The primary goals of total knee replacement surgery are to improve patients’ quality of life on an elective basis, specifically in terms of reducing pain and functional limitations associated with degenerative disease of the Knee. Many patients with symptomatic osteoarthritis are otherwise healthy and independent in their community. The need to undergo reoperation following primary knee replacement surgery is an undesirable outcome for all involved. Patellar resurfacing is associated with lower reoperation rates following total knee arthroplasty, particularly for patella-related indications. The chapter provides recommendations for implementing evidence-based practice in the clinical setting.
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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 | 0.000 | 0.002 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.003 |
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".