Literature DB >> 30219968

The effectiveness of robotic hip and knee arthroplasty on patient-reported outcomes: A systematic review and meta-analysis.

Sascha Karunaratne1, Michael Duan2, Evangelos Pappas3, Brett Fritsch4, Richard Boyle4, Sanjeev Gupta4, Paul Stalley4, Mark Horsley4, Daniel Steffens5,2.   

Abstract

PURPOSE: The purpose of the study is to determine the effectiveness of semi-active and active robotic hip and knee arthroplasty on post-operative patient-reported outcomes of function, pain, quality of life and satisfaction with surgery.
METHODS: PubMed, Medline, Embase and CENTRAL were searched. Included were comparative studies investigating the effectiveness of semi-active or active robotic hip or knee arthroplasty compared to any other surgical intervention on function, pain, quality of life and satisfaction with surgery. Risk of bias and the strength of the evidence were assessed using the Downs and Black tool and the GRADE system, respectively. Relative risks, mean differences and 95% CI were calculated using random-effects models.
RESULTS: Fourteen studies involving 1342 patients were included. All studies compared robotic to conventional surgery, with active robotic surgery evaluated in total hip or knee arthroplasty and semi-active robotic surgery in total hip or unicompartmental knee arthroplasty. Most studies presented some risk of bias, and the strength of evidence was rated as low to very low quality. Random-effects meta-analyses showed that post-operative functional outcomes were comparable between active robotic and conventional total hip and knee arthroplasty at the short-, medium- and long-term follow-up. No significant difference in pain, quality of life and satisfaction with surgery were reported in individual studies.
CONCLUSIONS: This systematic and meta-analyses indicates that functional outcomes for patients undergoing active robotic total hip and knee arthroplasty were comparable to conventional surgery. Whether semi-active or active robotic hip or knee arthroplasty is effective in improving post-operative pain, quality of life and satisfaction with surgery is unclear. PROSPERO Registration Number: CRD42017059932.

Entities:  

Keywords:  Arthroplasty; Hip; Knee; Patient-reported outcomes; Robotic surgery

Mesh:

Year:  2018        PMID: 30219968     DOI: 10.1007/s00264-018-4140-3

Source DB:  PubMed          Journal:  Int Orthop        ISSN: 0341-2695            Impact factor:   3.075


  34 in total

1.  Can the western Ontario and McMaster Universities (WOMAC) osteoarthritis index be used to evaluate different hip joints in the same patient?

Authors:  B J McGrory; W H Harris
Journal:  J Arthroplasty       Date:  1996-10       Impact factor: 4.757

2.  The Oxford hip and knee outcome questionnaires for arthroplasty.

Authors:  P B Pynsent; D J Adams; S P Disney
Journal:  J Bone Joint Surg Br       Date:  2005-02

3.  Effect of robotic milling on periprosthetic bone remodeling.

Authors:  Takehito Hananouchi; Nobuhiko Sugano; Takashi Nishii; Nobuo Nakamura; Hidenobu Miki; Akihiro Kakimoto; Mitsuyoshi Yamamura; Hideki Yoshikawa
Journal:  J Orthop Res       Date:  2007-08       Impact factor: 3.494

4.  The feasibility of creating a checklist for the assessment of the methodological quality both of randomised and non-randomised studies of health care interventions.

Authors:  S H Downs; N Black
Journal:  J Epidemiol Community Health       Date:  1998-06       Impact factor: 3.710

5.  Computer navigation in total hip arthroplasty: a meta-analysis of randomized controlled trials.

Authors:  Ke Xu; Yao-min Li; Hua-feng Zhang; Chen-guang Wang; Yun-qiang Xu; Zhi-jun Li
Journal:  Int J Surg       Date:  2014-02-27       Impact factor: 6.071

Review 6.  Robotics in Arthroplasty: A Comprehensive Review.

Authors:  David J Jacofsky; Mark Allen
Journal:  J Arthroplasty       Date:  2016-05-18       Impact factor: 4.757

7.  Improved joint-line restitution in unicompartmental knee arthroplasty using a robotic-assisted surgical technique.

Authors:  Yannick Herry; Cécile Batailler; Timothy Lording; Elvire Servien; Philippe Neyret; Sebastien Lustig
Journal:  Int Orthop       Date:  2017-09-14       Impact factor: 3.075

Review 8.  Hip arthroplasty.

Authors:  Robert Pivec; Aaron J Johnson; Simon C Mears; Michael A Mont
Journal:  Lancet       Date:  2012-09-26       Impact factor: 79.321

9.  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

10.  Validation of the Mayo Hip Score: construct validity, reliability and responsiveness to change.

Authors:  Jasvinder A Singh; Cathy Schleck; W Scott Harmsen; David G Lewallen
Journal:  BMC Musculoskelet Disord       Date:  2016-01-19       Impact factor: 2.362

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  12 in total

1.  A decade of Australian and New Zealand orthopaedic publications: a bibliometric trend analysis from 2008 to 2018.

Authors:  Agesilaus W Churchill; Eva Malacova; Simon F Journeaux; Martin Richardson; Ross Crawford; Mark L Vickers
Journal:  Int Orthop       Date:  2019-06-26       Impact factor: 3.075

2.  Surgeons and robots.

Authors:  Andreas F Mavrogenis; Marius M Scarlat
Journal:  Int Orthop       Date:  2019-06       Impact factor: 3.075

Review 3.  Moving beyond radiographic alignment: applying the Wald Principles in the adoption of robotic total knee arthroplasty.

Authors:  Jess H Lonner; Graham S Goh
Journal:  Int Orthop       Date:  2022-05-09       Impact factor: 3.075

4.  Implementation of robotic-assisted total knee arthroplasty in the public health system: a comparative cost analysis.

Authors:  Daniel Steffens; Sascha Karunaratne; Kate McBride; Sanjeev Gupta; Mark Horsley; Brett Fritsch
Journal:  Int Orthop       Date:  2021-09-22       Impact factor: 3.075

5.  Impact of Robotic Assisted Surgery on Outcomes in Total Hip Arthroplasty.

Authors:  Ethan A Remily; Austin Nabet; Oliver C Sax; Scott J Douglas; Sahir S Pervaiz; Ronald E Delanois
Journal:  Arthroplast Today       Date:  2021-04-30

6.  Minimum reporting criteria for robotic assisted total knee arthroplasty studies: alignment and balancing techniques should both be defined.

Authors:  Nicholas D Clement; David J Deehan
Journal:  Bone Joint Res       Date:  2020-07-23       Impact factor: 5.853

7.  Advances and innovations in total hip arthroplasty.

Authors:  Andreas Fontalis; Jean-Alain Epinette; Martin Thaler; Luigi Zagra; Vikas Khanduja; Fares S Haddad
Journal:  SICOT J       Date:  2021-04-12

Review 8.  The current role of robotics in total hip arthroplasty.

Authors:  Babar Kayani; Sujith Konan; Atif Ayuob; Salamah Ayyad; Fares S Haddad
Journal:  EFORT Open Rev       Date:  2019-11-01

Review 9.  Recent Trends, Technical Concepts and Components of Computer-Assisted Orthopedic Surgery Systems: A Comprehensive Review.

Authors:  Jan Kubicek; Filip Tomanec; Martin Cerny; Dominik Vilimek; Martina Kalova; David Oczka
Journal:  Sensors (Basel)       Date:  2019-11-27       Impact factor: 3.576

Review 10.  An umbrella review comparing computer-assisted and conventional total joint arthroplasty: quality assessment and summary of evidence.

Authors:  Mohamed Mosaad Hasan; Manrui Zhang; Matthew Beal; Hassan M K Ghomrawi
Journal:  BMJ Surg Interv Health Technol       Date:  2020-01-28
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