Literature DB >> 34259929

Assistive technologies in knee arthroplasty: fashion or evolution? Rate of publications and national registries prove the Scott Parabola wrong.

Cécile Batailler1, Sébastien Parratte2,3.   

Abstract

PURPOSE: Most opponents of assistive technologies in orthopedic surgery consider them as a marketing ruse or fashion. Our hypothesis was that many innovations in modern knee arthroplasty are not following the Scott Parabola. This parabola represents the visual curve of a procedure or therapy showing great promise at the beginning, becoming the standard treatment after reports of encouraging results, only to fall into disuse due to adverse outcome reports. This study aimed to assess the interest in these assistive technologies by (1) their number of publications/year and (2) their actual surgical use reported in the National Joint Registries.
METHODS: The search was performed through PubMed, EMBASE, and MEDLINE databases from 1997 to 2021 inclusive to identify all available literature that described the use and results of assistive technologies or new surgical techniques in knee arthroplasty. In the Australian and Norwegian registries, the number of cases performed with these techniques in knee arthroplasty has been quantified year by year.
RESULTS: Following the initial online search, a total of 4085 articles was found. After the assessment mentioned above, 2106 articles were included in the study. The orthopedic techniques assessed in this study are not following the "Scott's parabola" in the literature. Computer-assisted knee arthroplasty and patient-specific instrumentation have increased quickly to have reached a plateau, with a stable number of publications over the last 6 years. The number of publications concerning robotic surgery, accelerometers and sensors continue to rise. In the Australian registry, the proportion of primary TKA performed by computer-assisted systems increased from 2.4% in 2003 to 32% in 2019. In the Norwegian registry, the proportion of computer-assisted TKA remained between 8 and 12% of primary TKA since 2007.
CONCLUSION: Most of the innovations in modern knee arthroplasty are not following the Scott Parabola. After a fast rise, these techniques do not disappear but continue to evolve. Their evolution is synergistic, and techniques appeared to be linked to each other's. Despite persisting concerns about the cost-efficiency of assisting technologies in knee arthroplasties, the interest and use do not decrease and seems to be directly linked to an exponential increase in interest for a better understanding of alignment targets and improved functional recovery.
© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Assistive technologies; Computer-assisted system; Knee arthroplasty; Robotic surgery; Scott parabola

Year:  2021        PMID: 34259929     DOI: 10.1007/s00402-021-04051-3

Source DB:  PubMed          Journal:  Arch Orthop Trauma Surg        ISSN: 0936-8051            Impact factor:   3.067


  21 in total

1.  Early aseptic loosening with a precoated low-profile tibial component: a case series.

Authors:  Jared R H Foran; Brent W Whited; Scott M Sporer
Journal:  J Arthroplasty       Date:  2011-01-13       Impact factor: 4.757

2.  Robotics in Hip and Knee Arthroplasty: Real Innovation or Marketing Ruse.

Authors:  Robert E Booth; Peter F Sharkey; Javad Parvizi
Journal:  J Arthroplasty       Date:  2019-08-09       Impact factor: 4.757

3.  Evaluation of the accuracy of resected bone thickness based on patient-specific instrumentation during total knee arthroplasty.

Authors:  Kazumasa Yamamura; Fumiaki Inori; Sadahiko Konishi
Journal:  Arch Orthop Trauma Surg       Date:  2021-02-06       Impact factor: 3.067

Review 4.  Current state of computer navigation and robotics in unicompartmental and total knee arthroplasty: a systematic review with meta-analysis.

Authors:  Jelle P van der List; Harshvardhan Chawla; Leo Joskowicz; Andrew D Pearle
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2016-09-06       Impact factor: 4.342

5.  Conventional instruments are more accurate for measuring the depth of the tibial cut than computer-assisted surgery in total knee arthroplasty: a prospective study.

Authors:  Antonio Klasan; Sven Edward Putnis; Samuel Grasso; Thomas Neri; Myles Raphael Coolican
Journal:  Arch Orthop Trauma Surg       Date:  2020-03-07       Impact factor: 3.067

Review 6.  The Impact of Author Financial Conflicts on Robotic-Assisted Joint Arthroplasty Research.

Authors:  Michael J DeFrance; Michael F Yayac; P Maxwell Courtney; Matthew W Squire
Journal:  J Arthroplasty       Date:  2020-10-26       Impact factor: 4.757

7.  Computer-assisted stereotaxic navigation improves the accuracy of mechanical alignment and component positioning in total knee arthroplasty.

Authors:  Ming Han Lincoln Liow; Graham Seow-Hng Goh; Hee-Nee Pang; Darren Keng Jin Tay; Ngai Nung Lo; Seng Jin Yeo
Journal:  Arch Orthop Trauma Surg       Date:  2016-06-27       Impact factor: 3.067

8.  Robotic-assisted total knee arthroplasty is comparable to conventional total knee arthroplasty: a meta-analysis and systematic review.

Authors:  James Randolph Onggo; Jason Derry Onggo; Richard De Steiger; Raphael Hau
Journal:  Arch Orthop Trauma Surg       Date:  2020-06-14       Impact factor: 3.067

9.  Comparison of an Accelerometer-Based Portable Navigation System, Patient-Specific Instrumentation, and Conventional Instrumentation for Femoral Alignment in Total Knee Arthroplasty.

Authors:  Kohei Kawaguchi; Kazuhiko Michishita; Takeshi Manabe; Yoshiyuki Akasaka; Junya Higuchi
Journal:  Knee Surg Relat Res       Date:  2017-12-01
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  2 in total

1.  Intraoperative technology increases operating room times in primary total knee arthroplasty.

Authors:  Stephen G Zak; David Cieremans; Alex Tang; Ran Schwarzkopf; Joshua C Rozell
Journal:  Arch Orthop Trauma Surg       Date:  2022-05-12       Impact factor: 3.067

2.  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

  2 in total

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