Literature DB >> 25520420

International comparative evaluation of knee replacement with fixed or mobile-bearing posterior-stabilized prostheses.

Stephen Graves1, Art Sedrakyan2, Valborg Baste3, Terence J Gioe4, Robert Namba5, Olga Martínez Cruz6, Susanna Stea7, Elizabeth Paxton8, Samprit Banerjee2, Abby J Isaacs2, Otto Robertsson9.   

Abstract

BACKGROUND: Posterior-stabilized total knee prostheses were introduced to address instability secondary to loss of posterior cruciate ligament function, and they have either fixed or mobile bearings. Mobile bearings were developed to improve the function and longevity of total knee prostheses. In this study, the International Consortium of Orthopaedic Registries used a distributed health data network to study a large cohort of posterior-stabilized prostheses to determine if the outcome of a posterior-stabilized total knee prosthesis differs depending on whether it has a fixed or mobile-bearing design.
METHODS: Aggregated registry data were collected with a distributed health data network that was developed by the International Consortium of Orthopaedic Registries to reduce barriers to participation (e.g., security, proprietary, legal, and privacy issues) that have the potential to occur with the alternate centralized data warehouse approach. A distributed health data network is a decentralized model that allows secure storage and analysis of data from different registries. Each registry provided data on mobile and fixed-bearing posterior-stabilized prostheses implanted between 2001 and 2010. Only prostheses associated with primary total knee arthroplasties performed for the treatment of osteoarthritis were included. Prostheses with all types of fixation were included except for those with the rarely used reverse hybrid (cementless tibial and cemented femoral components) fixation. The use of patellar resurfacing was reported. The outcome of interest was time to first revision (for any reason). Multivariate meta-analysis was performed with linear mixed models with survival probability as the unit of analysis.
RESULTS: This study includes 137,616 posterior-stabilized knee prostheses; 62% were in female patients, and 17.6% had a mobile bearing. The results of the fixed-effects model indicate that in the first year the mobile-bearing posterior-stabilized prostheses had a significantly higher hazard ratio (1.86) than did the fixed-bearing posterior-stabilized prostheses (95% confidence interval, 1.28 to 2.7; p = 0.001). For all other time intervals, the mobile-bearing posterior-stabilized prostheses had higher hazard ratios; however, these differences were not significant.
CONCLUSIONS: Mobile-bearing posterior-stabilized prostheses had an increased rate of revision compared with fixed-bearing posterior-stabilized prostheses. This difference was evident in the first year.
Copyright © 2014 by The Journal of Bone and Joint Surgery, Incorporated.

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Year:  2014        PMID: 25520420      PMCID: PMC4271421          DOI: 10.2106/JBJS.N.00556

Source DB:  PubMed          Journal:  J Bone Joint Surg Am        ISSN: 0021-9355            Impact factor:   5.284


  23 in total

1.  Mobile-bearing total knee arthroplasty: a meta-analysis.

Authors:  Joshua T Carothers; Raymond H Kim; Douglas A Dennis; Carleton Southworth
Journal:  J Arthroplasty       Date:  2010-07-14       Impact factor: 4.757

2.  Distributed health data networks: a practical and preferred approach to multi-institutional evaluations of comparative effectiveness, safety, and quality of care.

Authors:  Jeffrey S Brown; John H Holmes; Kiran Shah; Ken Hall; Ross Lazarus; Richard Platt
Journal:  Med Care       Date:  2010-06       Impact factor: 2.983

3.  Staged bilateral mobile-bearing and fixed-bearing total knee arthroplasty in the same patients: a prospective comparison of a posterior-stabilized prosthesis.

Authors:  Masahiro Hasegawa; Akihiro Sudo; Atsumasa Uchida
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2008-11-20       Impact factor: 4.342

4.  Design of a national distributed health data network.

Authors:  Judith C Maro; Richard Platt; John H Holmes; Brian L Strom; Sean Hennessy; Ross Lazarus; Jeffrey S Brown
Journal:  Ann Intern Med       Date:  2009-07-28       Impact factor: 25.391

5.  A model for integrating fixed-, random-, and mixed-effects meta-analyses into structural equation modeling.

Authors:  Mike W-L Cheung
Journal:  Psychol Methods       Date:  2008-09

6.  Meta-analysis of summary survival curve data.

Authors:  Lidia R Arends; M G Myriam Hunink; Theo Stijnen
Journal:  Stat Med       Date:  2008-09-30       Impact factor: 2.373

7.  Mobile-bearing total knee arthroplasty improves patellar tracking and patellofemoral contact stress: in vivo measurements in the same patients.

Authors:  Naohiro Sawaguchi; Tokifumi Majima; Takayuki Ishigaki; Noriaki Mori; Takashi Terashima; Akio Minami
Journal:  J Arthroplasty       Date:  2009-09-23       Impact factor: 4.757

Review 8.  Meta-analysis and systematic review of clinical outcomes comparing mobile bearing and fixed bearing total knee arthroplasty.

Authors:  Holly Smith; Meryam Jan; Nizar N Mahomed; J Rod Davey; Rajiv Gandhi
Journal:  J Arthroplasty       Date:  2011-02-04       Impact factor: 4.757

9.  Fixed-bearing versus mobile-bearing total knee arthroplasty: a prospective randomised, clinical and radiological study with mid-term results at 7 years.

Authors:  A Lädermann; A Lübbeke; R Stern; N Riand; D Fritschy
Journal:  Knee       Date:  2008-03-10       Impact factor: 2.199

10.  Mobile and fixed-bearing (all-polyethylene tibial component) total knee arthroplasty designs. A prospective randomized trial.

Authors:  Terence J Gioe; Jason Glynn; Jonathan Sembrano; Kathleen Suthers; Edward R G Santos; Jasvinder Singh
Journal:  J Bone Joint Surg Am       Date:  2009-09       Impact factor: 5.284

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  7 in total

Review 1.  Mobile bearing and fixed bearing total knee arthroplasty.

Authors:  Marcello Capella; Marco Dolfin; Francesco Saccia
Journal:  Ann Transl Med       Date:  2016-04

2.  National and international postmarket research and surveillance implementation: achievements of the International Consortium of Orthopaedic Registries initiative.

Authors:  Art Sedrakyan; Elizabeth Paxton; Stephen Graves; Rebecca Love; Danica Marinac-Dabic
Journal:  J Bone Joint Surg Am       Date:  2014-12-17       Impact factor: 5.284

3.  Have the Causes of Revision for Total and Unicompartmental Knee Arthroplasties Changed During the Past Two Decades?

Authors:  Gro S Dyrhovden; Stein Håkon L Lygre; Mona Badawy; Øystein Gøthesen; Ove Furnes
Journal:  Clin Orthop Relat Res       Date:  2017-03-15       Impact factor: 4.176

4.  Increased risk of aseptic loosening for 43,525 rotating-platform vs. fixed-bearing total knee replacements.

Authors:  Oystein Gothesen; Stein Hakon L Lygre; Michelle Lorimer; Stephen Graves; Ove Furnes
Journal:  Acta Orthop       Date:  2017-09-20       Impact factor: 3.717

Review 5.  Application of a Causal Discovery Algorithm to the Analysis of Arthroplasty Registry Data.

Authors:  Camden Cheek; Huiyong Zheng; Brian R Hallstrom; Richard E Hughes
Journal:  Biomed Eng Comput Biol       Date:  2018-02-22

6.  Early aseptic loosening of a mobile-bearing total knee replacement.

Authors:  Ines Kutzner; Geir Hallan; Paul Johan Høl; Ove Furnes; Øystein Gøthesen; Wender Figved; Peter Ellison
Journal:  Acta Orthop       Date:  2017-11-06       Impact factor: 3.717

7.  The effect of patient and prosthesis factors on revision rates after total knee replacement using a multi-registry meta-analytic approach.

Authors:  Peter L Lewis; Annette W-Dahl; Otto Robertsson; Michelle Lorimer; Heather A Prentice; Stephen E Graves; Elizabeth W Paxton
Journal:  Acta Orthop       Date:  2022-02-01       Impact factor: 3.717

  7 in total

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