New technology‐based assistive techniques in total knee arthroplasty: A Bayesian network meta‐analysis and systematic review
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: The radiological and clinical efficiency among robot-assisted surgery (RAS), computer-assisted navigation system (CAS) and conventional (CON) total knee arthroplasty (TKA) remains controversial. METHODS: Bayesian network meta-analysis (NMA) and systematic review were performed to investigate radiological and clinical efficiency respectively. The certainty of the evidence was evaluated using GRADE and CERQual tool. RESULTS: Thirty-four RCTs (7289 patients and 7424 knees) were included. The NMA showed that RAS-TKA had the highest probability for mechanical axis restoration (odds ratio for RAS vs. CAS 3.79, CrI 1.14 to 20.54, very low certainty), followed by CAS-TKA (odds ratio for CAS vs. CON 2.55, CrI 1.67 to 4.01, very low certainty) and then CON-TKA, without significant differences in other radiological parameters. No differences were found in clinical outcomes after qualitative systematic review (overall low certainty). CONCLUSIONS: Technology-based assistive techniques (CAS and RAS) may surpass the CON-TKA, when considering higher radiological accuracy and comparable clinical outcomes. This article is protected by copyright. All rights reserved.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.009 | 0.002 |
| 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 | 0.001 | 0.001 |
| 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 it