Literature DB >> 32530896

Are There Differences in Accuracy or Outcomes Scores Among Navigated, Robotic, Patient-specific Instruments or Standard Cutting Guides in TKA? A Network Meta-analysis.

Pierre-Alban Bouché1,2, Simon Corsia2, Agnès Dechartres3, Matthieu Resche-Rigon1, Rémy Nizard2.   

Abstract

BACKGROUND: Several kinds of cutting guides, including patient-specific instrumentation, navigation, standard cutting guides, accelerometer-based navigation, and robotic guidance, are available to restore a planned alignment during TKA. No previous study has simultaneously compared all of these devices; a network meta-analysis is an especially appealing method because it allows comparisons across approaches that were not compared head-to-head in individual randomized controlled trials. QUESTIONS/PURPOSES: We performed a network meta-analysis to determine whether novel approaches to achieving implant alignment, such as patient-specific instrumentation, navigation, accelerometer-based navigation, and robotic guidance, provide any advantage over standard cutting guides in terms of: (1) hip-knee-ankle (HKA) alignment outliers greater than ± 3°, (2) outcome scores (1989 - Knee Society Score and WOMAC score) measured 6 months after surgery, or (3) femoral and tibial implant malalignment (greater than ± 3°), taken separately, in the frontal and sagittal plane, as well as other secondary outcomes including validated outcome scores 1 and 2 years after surgery.
METHODS: In our network meta-analysis, we included randomized controlled trials comparing the different cutting guides by using at least one of the previously specified criteria, without limitation on language or date of publication. We searched electronic databases, major orthopaedic journals, proceedings of major orthopaedic meetings, ClinicalTrials.gov, and the World Health Organization's International Clinical Trials Registry Platform until October 1, 2018. This led to the inclusion of 90 randomized controlled trials involving 9389 patients (mean age 68.8 years) with 10,336 TKAs. Two reviewers independently selected trials and extracted data. The primary outcomes were the proportion patients with malalignment of the HKA angle (defined as HKA > 3° from neutral) and the Knee Society Score and WOMAC scores at 6 months postoperatively. We combined direct and indirect comparisons using a Bayesian network meta-analysis framework to assess and compare the effect of different cutting guides on outcomes. Bayesian estimates are based on the posterior distribution of an endpoint and are called credible intervals. Usually the 95% credible interval, corresponding to a posterior probability of 0.95 that the endpoint lies in the interval, is computed. Unlike the frequentist approach, the Bayesian approach does not allow the calculation of the p value.
RESULTS: The proportion of HKA outliers was lower with navigation than with patient-specific instrumentation (risk ratio 0.46 [95% credible interval (CI) 0.34 to 0.63]) and standard cutting guides (risk ratio 0.45 [95% CI 0.37 to 0.53]); however, this corresponded to an actual difference of only 12% of patients for navigation versus 21% of patients for patient-specific instrumentation, and 12% of patients for navigation versus 25% for standard cutting guides. We found no differences for other comparisons between different cutting guides, including robotics and the accelerometer. We found no differences in the Knee Society Score or WOMAC score between the different cutting guides at 6 months. Regarding secondary outcomes, navigation reduced the risk of frontal and sagittal malalignments for femoral and tibial components compared with the standard cutting guides, but none of the other cutting guides showed superiority for the other secondary outcomes.
CONCLUSIONS: Navigation resulted in approximately 10% fewer patients having HKA outliers of more than 3°, without any corresponding improvement in validated outcomes scores. It is unknown whether this incremental reduction in the proportion of patients who have alignment outside a window that itself has been called into question will justify the increased costs and surgical time associated with the approach. We believe that until or unless these new approaches either (1) convincingly demonstrate superior survivorship, or (2) convincingly demonstrate superior outcomes, surgeons and hospitals should not use these approaches since they add cost, have a learning curve (during which some patients may be harmed), and have the risks associated with uncertainty of novel surgical approaches. LEVEL OF EVIDENCE: Level I, therapeutic study.

Entities:  

Mesh:

Year:  2020        PMID: 32530896      PMCID: PMC7431275          DOI: 10.1097/CORR.0000000000001324

Source DB:  PubMed          Journal:  Clin Orthop Relat Res        ISSN: 0009-921X            Impact factor:   4.755


  45 in total

1.  Coronal alignment after total knee replacement.

Authors:  R S Jeffery; R W Morris; R A Denham
Journal:  J Bone Joint Surg Br       Date:  1991-09

2.  Imageless computer navigation in total knee arthroplasty provides superior short term functional outcomes: a meta-analysis.

Authors:  Brett A Rebal; Oladapo M Babatunde; Jonathan H Lee; Jeffrey A Geller; David A Patrick; William Macaulay
Journal:  J Arthroplasty       Date:  2013-10-18       Impact factor: 4.757

Review 3.  Alignment in total knee replacement.

Authors:  J M Sikorski
Journal:  J Bone Joint Surg Br       Date:  2008-09

Review 4.  Patient specific instrumentation in total knee arthroplasty: a state of the art.

Authors:  Lorenzo Mattei; Pietro Pellegrino; Michel Calò; Alessandro Bistolfi; Filippo Castoldi
Journal:  Ann Transl Med       Date:  2016-04

Review 5.  The Popularity of Outcome Measures for Hip and Knee Arthroplasties.

Authors:  Thomas M Lovelock; Nigel S Broughton; Cylie M Williams
Journal:  J Arthroplasty       Date:  2017-09-01       Impact factor: 4.757

6.  Robotic-assisted total knee arthroplasty may lead to improvement in quality-of-life measures: a 2-year follow-up of a prospective randomized trial.

Authors:  Ming Han Lincoln Liow; Graham Seow-Hng Goh; Merng Koon Wong; Pak Lin Chin; Darren Keng-Jin Tay; Seng-Jin Yeo
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2016-03-26       Impact factor: 4.342

7.  Checking consistency in mixed treatment comparison meta-analysis.

Authors:  S Dias; N J Welton; D M Caldwell; A E Ades
Journal:  Stat Med       Date:  2010-03-30       Impact factor: 2.373

8.  Rotation in total knee arthroplasty: no difference between patient-specific and conventional instrumentation.

Authors:  Sébastien Parratte; Guillaume Blanc; Thomas Boussemart; Matthieu Ollivier; Thomas Le Corroller; Jean-Noël Argenson
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2013-08-14       Impact factor: 4.342

9.  Estimating the mean and variance from the median, range, and the size of a sample.

Authors:  Stela Pudar Hozo; Benjamin Djulbegovic; Iztok Hozo
Journal:  BMC Med Res Methodol       Date:  2005-04-20       Impact factor: 4.615

10.  Dealing with missing standard deviation and mean values in meta-analysis of continuous outcomes: a systematic review.

Authors:  Christopher J Weir; Isabella Butcher; Valentina Assi; Stephanie C Lewis; Gordon D Murray; Peter Langhorne; Marian C Brady
Journal:  BMC Med Res Methodol       Date:  2018-03-07       Impact factor: 4.615

View more
  12 in total

1.  [Research progress on comparison of the application effects between personal specific instrumentation and computer-assisted navigation surgery in total knee arthroplasty].

Authors:  Ziyang Dong; Yang Li; Hua Tian
Journal:  Zhongguo Xiu Fu Chong Jian Wai Ke Za Zhi       Date:  2021-11-15

2.  Decreased patient comorbidities and post-operative complications in technology-assisted compared to conventional total knee arthroplasty.

Authors:  Ryan J O'Rourke; Anthony J Milto; Brian P Kurcz; Steven L Scaife; D Gordon Allan; Youssef El Bitar
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2022-04-13       Impact factor: 4.342

3.  When should we adopt new technology into our practices?

Authors:  Seth S Leopold
Journal:  Arch Orthop Trauma Surg       Date:  2021-08-17       Impact factor: 3.067

Review 4.  Is it prime time for robotic-assisted TKAs? A systematic review of current studies.

Authors:  Arun B Mullaji; Ahmed A Khalifa
Journal:  J Orthop       Date:  2022-08-08

5.  Editorial: What CORR® Seeks From Papers About New Implants and Techniques.

Authors:  Seth S Leopold; Matthew B Dobbs; Mark C Gebhardt; Terence J Gioe; Paul A Manner; Raphaël Porcher; Clare M Rimnac; Montri D Wongworawat
Journal:  Clin Orthop Relat Res       Date:  2022-08-29       Impact factor: 4.755

6.  CORR Insights®: No Benefit to Sensor-guided Balancing Compared with Freehand Balancing in TKA: A Randomized Controlled Trial.

Authors:  W P Yau
Journal:  Clin Orthop Relat Res       Date:  2022-04-07       Impact factor: 4.755

7.  Patient-specific instrumentation combined with a new tool for gap balancing is useful in total knee replacement: a 3-year follow-up of a retrospective study.

Authors:  Ting Deng; Tangyou Liu; Qing Lei; Lihong Cai; Song Chen
Journal:  J Orthop Surg Res       Date:  2021-05-12       Impact factor: 2.359

8.  Clinical value of CT-based patient-specific 3D preoperative design combined with conventional instruments in primary total knee arthroplasty: a propensity score-matched analysis.

Authors:  Kai Lei; Li Ming Liu; Yi Xiang; Xin Chen; Hua Quan Fan; Yang Peng; Jiang Ming Luo; Lin Guo
Journal:  J Orthop Surg Res       Date:  2020-12-09       Impact factor: 2.359

9.  Robotics versus personalized 3D preoperative planning in total knee arthroplasty: a propensity score-matched analysis.

Authors:  Kai Lei; LiMing Liu; Rui He; Lin Guo; PengFei Yang; Ran Xiong; Liu Yang
Journal:  J Orthop Surg Res       Date:  2022-04-11       Impact factor: 2.359

10.  HURWA robotic-assisted total knee arthroplasty improves component positioning and alignment - A prospective randomized and multicenter study.

Authors:  Zheng Li; Xin Chen; Xiaoquan Wang; Bo Zhang; Wei Wang; Yu Fan; Jun Yan; Xiaofeng Zhang; Yu Zhao; Yuan Lin; Jun Liu; Jin Lin
Journal:  J Orthop Translat       Date:  2022-02-16       Impact factor: 5.191

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.