Clinical, functional, and radiological outcomes of robotic assisted versus conventional total hip arthroplasty: a systematic review and meta-analysis of randomized controlled trials
Bibliographic record
Abstract
This systematic review of randomized controlled trials (RCTs) aims to compare important clinical, functional, and radiological outcomes between robotic-assisted total hip arthroplasty (RATHA) and conventional total hip arthroplasty (COTHA) in patients with hip osteoarthritis. We identified published RCTs comparing RATHA with COTHA in Ovid MEDLINE, EMBASE, Scopus, and Cochrane Library. Two reviewers independently performed study screening, risk of bias assessment and data extraction. Main outcomes were major complications, revision, patient-reported outcome measures (PROMs), and radiological outcomes. We included 8 RCTs involving 1014 patients and 977 hips. There was no difference in major complication rate (Relative Risk (RR) 0.78; 95% Confidence Interval (CI) 0.22 to 2.74), revision rate (RR 1.33; 95%CI 0.08 to 22.74), and PROMs (standardized mean difference 0.01; 95%CI - 0.27 to 0.30) between RATHA and COTHA. RATHA resulted in little to no effects on femoral stem alignment (mean difference (MD) - 0.57 degree; 95%CI - 1.16 to 0.03) but yielded overall lower leg length discrepancy (MD - 4.04 mm; 95%CI - 7.08 to - 1.0) compared to COTHA. Most combined estimates had low certainty of evidence mainly due to risk of bias, inconsistency, and imprecision. Based on the current evidence, there is no important difference in clinical and functional outcomes between RATHA and COTHA. The trivial higher radiological accuracy was also unlikely to be clinically meaningful. Regardless, more robust evidence is needed to improve the quality and strength of the current evidence.PROSPERO registration: the protocol was registered in the PROSPERO database (CRD42023453294). All methods were carried out in accordance with relevant guidelines and regulations.
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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 | 0.026 | 0.068 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.026 | 0.028 |
| Bibliometrics | 0.009 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".