Imageless Navigation Versus Conventional Open Wedge High Tibial Osteotomy: A Meta-Analysis of Comparative Studies
The Journal of Korean Knee Society
;
: 16-26, 2016.
Article
Dans Anglais
| WPRIM
| ID: wpr-759209
ABSTRACT
PURPOSE:
To summarize and compare radiological and clinical outcomes of open wedge high tibial osteotomy (HTO) using imageless computer-assisted navigation with conventional HTO.METHODS:
A literature search of online register databases was conducted. The risk ratio (RR) of radiological outliers and mean differences in clinical outcomes were compared between navigated and conventional HTOs. Radiological results were evaluated by subgroup analyses according to the study period (concurrent/consecutive) and the use of locking fixation device.RESULTS:
Seven comparative studies with a total sample size of 406 knees were included in this review. Radiographically, the mechanical axis [MA] was within the acceptable range (0degrees-6degrees) in 83.7% of the navigation HTO group, showing significant difference from 62.1% of the conventional HTO group. Clinically, despite the forest plot demonstrating a general trend of favoring the navigation system, there were not sufficient studies to determine statistical significance in the meta-analysis. None of the subgroup analyses demonstrated significant differences in the RR of MA outliers.CONCLUSIONS:
The present meta-analysis indicates that the use of navigation in open wedge HTO improves the precision of mechanical alignment by decreasing the incidence of outliers; however, the clinical benefit is not conclusive. Additionally, none of the subgroup analyses demonstrated significant difference in the RR of MA outliers.
Texte intégral:
Disponible
Indice:
WPRIM (Pacifique occidental)
Sujet Principal:
Ostéotomie
/
Axis
/
Tibia
/
Arbres
/
Odds ratio
/
Incidence
/
Taille de l'échantillon
/
Genou
Type d'étude:
Etude d'étiologie
/
Etude d'incidence
/
Étude pronostique
/
Revues systématiques évaluées
langue:
Anglais
Texte intégral:
The Journal of Korean Knee Society
Année:
2016
Type:
Article
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