A new generation of knee prostheses has been introduced with the intention of improving post-operative knee flexion. In order to evaluate whether this goal has been achieved we performed a systematic review and meta-analysis. Systematic literature searches were conducted on MEDLINE and EMBASE from their inception to December 2007, and proceedings of scientific meetings were also searched. Only randomised, clinical trials were included in the meta-analysis. The mean difference in the maximum post-operative flexion between the ‘high-flex’ and conventional types of prosthesis was defined as the primary outcome measure. A total of five relevant articles was identified. Analysis of these trials suggested that no clinically relevant or statistically significant improvement was obtained in flexion with the ‘high-flex’ prostheses. The weighted mean difference was 2.1° (95% confidence interval −0.2 to +4.3; p = 0.07).
We reviewed systematically the published evidence on the effectiveness of antibiotic prophylaxis for the reduction of wound infection in patients undergoing total hip and total knee replacement. Publications were identified using the Cochrane Library, MEDLINE, EMBASE and CINAHL databases. We also contacted authors to identify unpublished trials. We included randomised controlled trials which compared any prophylaxis with none, the administration of systemic antibiotics with that of those in cement, cephalosporins with glycopeptides, cephalosporins with penicillin-derivatives, and second-generation with first-generation cephalosporins. A total of 26 studies (11 343 participants) met the inclusion criteria. Methodological quality was variable. In a meta-analysis of seven studies (3065 participants) antibiotic prophylaxis reduced the absolute risk of wound infection by 8% and the relative risk by 81% compared with no prophylaxis (p <
0.00001). No other comparison showed a significant difference in clinical effect. Antibiotic prophylaxis should be routine in joint replacement but the choice of agent should be made on the basis of cost and local availability.
