The Effect of Synovectomy in Total Knee Arthroplasty for Primary Osteoarthritis: A Meta-Analysis
Bibliographic record
Abstract
The objective of this study is to assess pain, function, and morbidity in patients undergoing synovectomy during primary total knee arthroplasty (TKA) for osteoarthritis (OA). A meta-analysis, which included randomized controlled trials comparing TKA with and without synovectomy for OA, was completed. The primary outcome was postoperative knee pain. Secondary outcomes included performance, perioperative complications, validated functional scores, operation length, and hospitalization length. A literature search produced 487 unique references, of which 3 randomized controlled trials were selected for inclusion. A total of 304 patients (354 knees) were included, with an average age of 67 years. Follow-up intervals between studies ranged from 26 weeks to 12 months. Included studies were of moderate- to high-quality evidence with low risk of bias. There was no significant difference between the two groups in regard to postoperative pain, Knee Society Score, or postoperative range of motion. Postoperative blood loss was significantly lower in synovium-retaining TKA group (MD = 99.41 mL; 95% confidence interval, 45.08-153.75). Based on these results, there is currently no evidence to support the use of synovectomy in TKA for primary OA, as it provides no clinical benefit and increases postoperative blood loss.
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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 | 0.009 | 0.016 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.015 | 0.035 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 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".