Rate of revision and wear penetration in different polyethylene liner compositions in total hip arthroplasty: a Bayesian network meta-analysis.
Migliorini FilippoMarcel BetschNicola MaffulliLuise SchäferFrank HildebrandJoshua KubachMario PasurkaPublished in: Scientific reports (2024)
The present Bayesian network meta-analysis compared different types of polyethylene liners in total hip arthroplasty (THA) in terms of wear penetration (mm/year) and rate of revision. The type of liners compared were the crosslinked ultra-high molecular weight polyethylene (CPE/UHMWPE), Vitamin E infused highly cross-linked polyethylene (HXLPE-VEPE), modified cross-linked polyethylene (MXLPE), highly cross-linked polyethylene (HXLPE), Cross-linked polyethylene (XLPE). This study was conducted according to the PRISMA extension statement for reporting systematic reviews incorporating network meta-analyses of healthcare interventions. In June 2024, PubMed, Scopus, Embase, Google Scholar, and Cochrane databases were accessed. A time constraint was set from January 2000. All investigations which compared two or more types of polyethylene liners for THA were accessed. Only studies that clearly stated the nature of the liner were included. Data from 60 studies (37,352 THAs) were collected. 56% of patients were women. The mean age of patients was 60.0 ± 6.6 years, the mean BMI was 27.5 ± 2.0 kg/m 2 . The mean length of follow-up was 81.6 ± 44.4 months. Comparability was found at baseline between groups. XLPE and HXLPE liners in THA are associated with the lowest wear penetration (mm/year) and the lowest revision rate at approximately 7 years of follow-up.
Keyphrases
- total hip arthroplasty
- meta analyses
- systematic review
- healthcare
- end stage renal disease
- total knee arthroplasty
- ejection fraction
- newly diagnosed
- prognostic factors
- case control
- randomized controlled trial
- peritoneal dialysis
- type diabetes
- machine learning
- big data
- patient reported outcomes
- high resolution
- adipose tissue
- insulin resistance
- mass spectrometry
- skeletal muscle
- adverse drug
- data analysis