Early Superior Clinical Outcomes in Robotic-Assisted TKA Compared to Conventional TKA in the Same Patient: A Comparative Analysis
Bibliographic record
Abstract
Abstract Robotic-assisted total knee arthroplasty (RA-TKA) has demonstrated improved alignment and outcome scores when compared with manual total knee arthroplasty (M-TKA); however, few studies compare differences in the same patient. This study is a retrospective review that assesses clinical outcomes of 36 patients who underwent a primary RA-TKA and had undergone a prior contralateral M-TKA. All surgeries were performed by a single surgeon at the same institution. Patients were assessed for differences in hospital length of stay, improvement in pre- versus postoperative range of motion, Knee Injury and Osteoarthritis Outcome Score (KOOS), and Western Ontario and McMaster Universities Arthritis Index (WOMAC) scores. Student's t-test and Fisher's exact test were utilized to detect significant differences. Patient demographics showed a mean age of 64.5, 24 females (67%), and mean body mass index of 35.1 ± 5.7. The average follow-up time was 2.9 years for M-TKA and 1.3 years for RA-TKA. Hospital length of stay was decreased by 5.5 hours for RA-TKA (p = 0.03). Total postoperative WOMAC score was not statistically different between RA-TKA and M-TKA (p = 0.061); however, pain and stiffness components were statistically improved in RA-TKA (p = 0.041 and p = 0.007), respectively. KOOS was higher in RA-TKA, which approached statistical significance (p = 0.005). Pre- versus postoperative knee flexion improved significantly in both cohorts. There was a significant difference in pre- versus postoperative range of motion at 3, 6, and 12 months follow-up after RA-TKA in comparison to M-TKA (p < 0.05). There were no postoperative complications. Patients who underwent RA-TKA demonstrated early improvement at 1-year follow-up in pain, stiffness, and knee flexion when compared with their prior contralateral M-TKA. There was a significant decrease in postoperative length of stay by 5.5 hours in the RA-TKA group. Limitations include a small sample size and differences in follow-up times between RA-TKA and M-TKA
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| 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) | 0.001 | 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 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".