Mobile Bearing versus Fixed Bearing for Total Knee Arthroplasty: Meta-analysis of Randomized Controlled Trials at Minimum 10-Year Follow-up
Bibliographic record
Abstract
Abstract This meta-analysis aimed to compare the clinical and radiographic outcomes between mobile-bearing total knee arthroplasty (MB-TKA) and fixed-bearing total knee arthroplasty (FB-TKA) at a minimum 10-year follow-up. PubMed, EMBASE, and Cochrane databases were searched. All included articles were evaluated by two trained reviewers according to the guidelines of the Cochrane Collaboration Handbook for potential risk, and the Consolidated Standards on Reporting Trials (CONSORT) checklist and scoring system was also used to assess the methodological quality of each study. The extracted data included function scores, range of motion (ROM) of the knee, incidence of adverse events or revision, survivorship analysis, and radiographic outcomes. Seven randomized controlled trials (RCTs) were included in this meta-analysis, and all RCTs had a follow-up period longer than 10 years. This meta-analysis shows no significant difference between the two groups with respect to the Keen Society Score (KSS; p = 0.38), KSS function score (p = 0.30), the Western Ontario and McMaster Universities Osteoarthritis index (WOMAC; p = 0.59), ROM (p = 0.71), radiolucent line (p = 0.45), femoral and tibial component positions in the coronal plane (p = 0.55 and 0.35, respectively), revision incidence (p = 0.77), and survivorship rates (p = 0.39). Meanwhile, it showed a slight difference between the two groups in the tibial component position in the sagittal plane (p = 0.003). According to this meta-analysis, the current best available evidence suggests no significant difference between the MB-TKA and FB-TKA groups with respect to the clinical outcomes, radiographic outcomes, revision, and survivorship at a minimum 10-year follow-up. This is a Level II, meta-analysis study.
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 | 0.031 | 0.047 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.066 | 0.069 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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; both teacher heads agree on what is shown here.
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".