One-Stage Versus Two-Stage Bilateral Total Knee Arthroplasty: A Systematic Review and Meta-Analysis
Bibliographic record
Abstract
BACKGROUND: Bilateral total knee arthroplasty (B-TKA) represents an increasingly used option to address advanced bilateral knee osteoarthritis (OA). The aim of this study was to quantify and compare one-stage and two-stage B-TKA results in terms of clinical outcomes, perioperative parameters, complications, revisions, and mortality rates. METHODS: The literature search was conducted using three databases (PubMed, Cochrane, and Web of Science) in February 2024 according to the guidelines for Preferred Reporting Items for Systematic Reviews and Meta-Analysis. The inclusion criteria were as follows: comparative studies, English language, with no time filter on the comparison of one-stage and two-stage B-TKA for bilateral knee osteoarthritis treatment. The quality of each article was assessed using the Cochrane risk of bias in nonrandomized studies of interventions tool. RESULTS: Among the 2,130 articles retrieved, 69 studies (366,722 patients) were included. One-stage B-TKA showed lower rates of TKA-related complications (P = 0.043), deep infections (P < 0.001), and wound complications (P = 0.033), as well as lower operative time (P = 0.028), shorter length of hospital stay (P < 0.001), and higher improvements of Western Ontario and McMaster Universities Osteoarthritis Index score (P = 0.013) and Oxford Knee Score (P = 0.004), but higher mortality rates at the 1-month (P < 0.001), 3-month (P < 0.001), and 1-year (P = 0.001) follow-ups, as well as higher rates of neurological (P = 0.013) and gastrointestinal (P < 0.001) complications, deep vein thrombosis (P = 0.016), and pulmonary embolism (P < 0.001). The risk of bias was "low" in 26 studies, "moderate" in 36 studies, "serious" in six studies, and "critical" in one study. CONCLUSIONS: One-stage B-TKA was associated with a higher mortality rate and thromboembolic risk while presenting lower TKA-related and infective complications compared to two-stage B-TKA. One-stage B-TKA also reduced hospital stay and total surgical time but provided only marginal improvement in clinical outcomes compared to two-stage B-TKA while showing a higher risk of neurologic and gastrointestinal complications. These results offer important information for both patients and surgeons in evaluating the most appropriate surgical approach, thereby contributing to optimize the management of patients undergoing B-TKA. LEVEL OF EVIDENCE: Level I.
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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 | 0.012 | 0.025 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.021 | 0.040 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".