Mobile-bearing (MB) total knee replacement (TKR)
was introduced to reduce the risk of aseptic loosening and wear of
polyethylene inserts. However, no consistent clinical advantages
of mobile- over fixed-bearing (FB) TKR have been found. In this
study we evaluated whether mobile bearings have an advantage over
fixed bearings with regard to revision rates and clinical outcome
scores. Furthermore, we determined which modifying variables affected
the outcome. A systematic search of the literature was conducted to collect
clinical trials comparing MB and FB in primary TKR. The primary
outcomes were revision rates for any reason, aseptic loosening and
wear. Secondary outcomes included range of movement, Knee Society
score (KSS), Oxford knee score (OKS), Short-Form 12 (SF-12) score
and radiological parameters. Meta-regression techniques were used
to explore factors modifying the observed effect. Our search yielded 1827 publications, of which 41 studies met
our inclusion criteria, comprising over 6000 TKRs. Meta-analyses
showed no clinically relevant differences in terms of revision rates,
clinical outcome scores or patient-reported outcome measures between
MB and FB TKRs. It appears that theoretical assumptions of superiority
of MB over FB TKR are not borne out in clinical practice. Cite this article:
The Kaplan-Meier estimation is widely used in orthopedics to
calculate the probability of revision surgery. Using data from a
long-term follow-up study, we aimed to assess the amount of bias
introduced by the Kaplan-Meier estimator in a competing risk setting. We describe both the Kaplan-Meier estimator and the competing
risk model, and explain why the competing risk model is a more appropriate
approach to estimate the probability of revision surgery when patients
die in a hip revision surgery cohort. In our study, a total of 62 acetabular
revisions were performed. After a mean of 25 years, no patients
were lost to follow-up, 13 patients had undergone revision surgery
and 33 patients died of causes unrelated to their hip.Objectives
Methods