Literature DB >> 36153769

The evolution of robotic systems for total knee arthroplasty, each system must be assessed for its own value: a systematic review of clinical evidence and meta-analysis.

Hannes Vermue1, Cécile Batailler2, Paul Monk3,4, Fares Haddad5, Thomas Luyckx6, Sébastien Lustig2.   

Abstract

INTRODUCTION: Robotic systems have been introduced to improve the precision of total knee arthroplasty. However, different robotic systems are available, each with unique features used to plan and execute the surgery. As such, due to this diversity, the clinical evaluation of each robotic platform should be separated.
METHODS: An extensive literature search of PubMed, Medline, Embase and Web of Science was conducted with subsequent meta-analysis. Randomised controlled trials, comparative studies, and cohort studies were included regarding robot-assisted total knee arthroplasty. Evaluated outcomes included clinical results, surgical precision, ligament balance, surgical time, learning curve, complications and revision rates. These were split up based on the robot-specific brand: ROBODOC (T-SOLUTION ONE), OMNIBOT, MAKO, NAVIO (CORI) and ROSA.
RESULTS: With a follow-up of more than 10 years, no improved clinical outcomes have been noted with the ROBODOC system compared to the conventional technique. If available, other platforms only present short-term clinical outcomes. Radiological outcomes are published for most robotic setups, demonstrating improved surgical precision compared to the conventional technique. Gap balance assessment is performed differently between all systems, leading to heterogeneous outcomes regarding its relationship on clinical outcomes. There is a similar learning curve based on operative time for all robotic platforms. In most studies, robot assistance requires longer operative time compared to the conventional technique. Complications and revision rates are published for ROBODOC and MAKO, without clear differences to conventional total knee arthroplasty.
CONCLUSION: The main finding of this systematic review is that the current evidence regarding each robotic system is diverse in quantity and quality. Each system has its own specificities and must be assessed for its own value. Regarding scientific literature, the generic term of robotic should be banned from the general conclusion. LEVEL OF EVIDENCE: Systematic review level IV.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Patient outcomes; Radiological assessment; Robotic surgical procedure; Total knee replacement

Year:  2022        PMID: 36153769     DOI: 10.1007/s00402-022-04632-w

Source DB:  PubMed          Journal:  Arch Orthop Trauma Surg        ISSN: 0936-8051            Impact factor:   2.928


  62 in total

1.  Robotic-assisted total knee arthroplasty improves accuracy and precision compared to conventional techniques.

Authors:  David G Deckey; Christian S Rosenow; Jens T Verhey; Joseph C Brinkman; Cory K Mayfield; Henry D Clarke; Joshua S Bingham
Journal:  Bone Joint J       Date:  2021-06       Impact factor: 5.082

2.  Robotic versus conventional primary total knee arthroplasty: clinical and radiological long-term results with a minimum follow-up of ten years.

Authors:  Kyu-Jin Cho; Jong-Keun Seon; Won-Young Jang; Chun-Gon Park; Eun-Kyoo Song
Journal:  Int Orthop       Date:  2018-11-19       Impact factor: 3.075

3.  Functional alignment achieves soft-tissue balance in total knee arthroplasty as measured with quantitative sensor-guided technology.

Authors:  Justin S Chang; Babar Kayani; Charles Wallace; Fares S Haddad
Journal:  Bone Joint J       Date:  2021-01-20       Impact factor: 5.082

4.  Robotic-assisted total knee arthroplasty demonstrates decreased postoperative pain and opioid usage compared to conventional total knee arthroplasty.

Authors:  Samrath J Bhimani; Rohat Bhimani; Austin Smith; Christian Eccles; Langan Smith; Arthur Malkani
Journal:  Bone Jt Open       Date:  2020-10-27

5.  Patient expectations and satisfaction in robotic-assisted total knee arthroplasty: a prospective two-year outcome study.

Authors:  Christopher L Blum; Eric Lepkowsky; Adil Hussein; Edgar A Wakelin; Christopher Plaskos; Jan A Koenig
Journal:  Arch Orthop Trauma Surg       Date:  2021-07-20       Impact factor: 3.067

6.  A 90-day episode-of-care cost analysis of robotic-arm assisted total knee arthroplasty.

Authors:  Christina L Cool; David J Jacofsky; Kelly A Seeger; Nipun Sodhi; Michael A Mont
Journal:  J Comp Eff Res       Date:  2019-01-28       Impact factor: 1.744

7.  Preliminary experience with an image-free handheld robot for total knee arthroplasty: 77 cases compared with a matched control group.

Authors:  P Bollars; A Boeckxstaens; J Mievis; S Kalaai; M G M Schotanus; D Janssen
Journal:  Eur J Orthop Surg Traumatol       Date:  2020-01-16

8.  The successful implementation of the Navio robotic technology required 29 cases.

Authors:  Courtney Bell; Luis Grau; Fabio Orozco; Danielle Ponzio; Zachary Post; Miranda Czymek; Alvin Ong
Journal:  J Robot Surg       Date:  2021-06-19

9.  Combining load sensor and robotic technologies for ligament balance in total knee arthroplasty.

Authors:  Julien Bardou-Jacquet; Jérome Murgier; François Laudet; Thierry Fabre
Journal:  Orthop Traumatol Surg Res       Date:  2021-03-10       Impact factor: 2.425

10.  Robot-Assisted Navigation versus Computer-Assisted Navigation in Primary Total Knee Arthroplasty: Efficiency and Accuracy.

Authors:  Tanner C Clark; Frank H Schmidt
Journal:  ISRN Orthop       Date:  2013-06-24
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