Unicompartmental Knee Arthroplasty Offers More Natural Feeling Joints Compared with Total Knee Arthroplasty: A Systematic Review and Meta-Analysis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Background: Unicompartmental knee arthroplasty (UKA) preserves healthy cartilage and may provide a more "natural-feeling" joint compared with total knee arthroplasty (TKA). The Forgotten Joint Score (FJS) is increasingly used to assess joint awareness. We aimed to systematically compare FJS outcomes in patients undergoing UKA versus TKA. Methods: Following Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines, we searched PubMed, Embase, Scopus, and Web of Science. We included studies reporting FJS in UKA vs. TKA, assessed risk of bias using the Newcastle-Ottawa Scale, and Cochrane RoB-2, and conducted random-effects meta-analyses to calculate pooled mean differences (MD), and sensitivity analyses were performed to assess the robustness of the findings. Results: = 96.24%) and publication bias was detected. Sensitivity analyses, including a leave-one-out analysis and an analysis restricted to randomized controlled trials, confirmed the consistency of the results, with no single study disproportionately influencing the findings. Conclusion: Despite substantial heterogeneity, these findings suggest that UKA may offer superior joint awareness compared with TKA. Level of Evidence: Level III. See Instructions for Authors for a complete description of levels of evidence.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.025 | 0.004 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it