Comparison Between Standard and High-Flexion Posterior-Stabilized Rotating-Platform Mobile-Bearing Total Knee Arthroplasties
Bibliographic record
Abstract
BACKGROUND: A high-flexion posterior-stabilized rotating-platform mobile-bearing prosthesis was designed in an attempt to improve the range of motion after total knee arthroplasty without compromising the theoretical advantages of the posterior-stabilized rotating-platform mobile-bearing system. The aim of this study was to compare the outcomes of standard and high-flexion posterior-stabilized rotating-platform mobile-bearing total knee arthroplasties. METHODS: One hundred and seventy knees were randomly allocated to receive either a standard (n = 85) or a high-flexion (n = 85) posterior-stabilized rotating-platform mobile-bearing prosthesis and were followed prospectively for a minimum of two years. Ranges of motion, functional outcomes determined with use of standard scoring systems, and radiographic measurements were assessed. In addition, patients' abilities to perform activities requiring deep knee flexion and patient satisfaction were evaluated with use of questionnaires. RESULTS: The average postoperative maximal flexion was 130° for the knees with the standard design and 128° for those with the high-flexion design, and the difference was not significant. The two prosthetic designs also did not differ significantly with regard to the Knee Society scores; Hospital for Special Surgery (HSS) scores; or the scores on the pain, stiffness, and function subscales of the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC). In addition, the numbers of knees able to perform deep-flexion-related activities and the rates of patient satisfaction were similar in the two study groups. CONCLUSIONS: This prospective randomized study revealed no significant differences between standard and high-flexion posterior-stabilized rotating-platform mobile-bearing total knee prostheses in terms of clinical or radiographic outcomes or range of motion at a minimum of two years postoperatively.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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; 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".