Robotic vs Navigational vs Conventional Primary Total Knee Arthroplasty. Clinical and Radiological Long-Term Results with a Minimum Follow-up of 10 years -Survivalship Analysis-
Bibliographic record
Abstract
The aim of this study was (1) to compare the clinical and radiological outcomes of robotic, navigational and conventional total knee arthroplasty with a minimum follow-up of 10 years, (2) to evaluate the survival rate, (3) and to estimate the accuracy of the three techniques by analyzing the outliers of the total knee arthroplasty (TKA) patients. Methods From January 1992 to December 2008, We evaluated 515 knees who underwent robotic TKA, navigational TKA, or conventional TKA with minimum follow-up of 10 years. Finally, this study including 92 patients (103 knees) who underwent robotic total knee arthroplasty using ROBODOC® , 197 patients (225 knees) who underwent navigational total knee arthroplasty using Orthopilot, and 175 patients (187 knees) who underwent conventional total knee arthroplasty. Hospital for special surgery(HSS) score, Knee Society Score(KSS), Western Ontario and McMaster Universities (WOMAC), and Range of Motion(ROM) were used for clinical evaluation. Mechanical alignment, implant radiological measurements and outliers were analyzed for radiological results. Complication related with surgery was also evaluated. Data were analyzed using SPSS Version 24.0 software and descriptive statistics, paired t‑test, one‑way ANOVA, and Wilcoxon tests. Kaplan-Meier survival analysis was performed for survival rate. Results All clinical assessments including HSS, KSS, WOMAC, and ROM at final follow-up showed excellent improvements in three groups (all, p<0.05), without any significant difference between the groups (p>0.05). In radiologic data, sagittal inclination of femoral implant in robotic group showed better result than another groups with significant difference(p<0.05). The cumulative survival rate was 94.8% in the robotic group, 96.2% in the navigation group, and 92.4% in the conventional TKA group with excellent survival (p=0.563). Complication rate associated surgery was 5.2 % in the robotic group, 5.3% in the navigation group, and 8% in the conventional group Conclusion Our study showed excellent survival with robotic, navigation and conventional TKA and similar clinical outcomes at long-term follow-up. However, in terms of radiological outcome robotic TKA showed accurate position of femoral component. With longer follow-up and larger cohort, the accuracy and effectiveness of robotic TKA on implant survival rate can be elucidated in the future.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".