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

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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.

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References

  1. Australian Orthopaedic Association National Joint Replacement Registry (AOANJRR) (2017) Hip, knee & shoulder arthroplasty: 2017 annual report. https://aoanjrr.sahmri.com/documents/10180/397736/Hip%2C%20Knee%20%26%20Shoulder%20Arthroplasty. Accessed 16 Apr 2018

  2. Ethgen O, Bruyere O, Richy F, Dardennes C, Reginster J (2004) Health-related quality of life in total hip and total knee arthroplasty: A qualitative and systematic review of the literature. J Bone Joint Surg Am 86-A(5):963–974. https://doi.org/10.2106/00004623-200405000-00012

    Article  Google Scholar 

  3. Xu K, Li Y, Zhang H, Wang C, Xu Y, Li Z (2014) Computer navigation in total hip arthroplasty: A meta-analysis of randomized controlled trials. Int J Surg 12(5):528–533. https://doi.org/10.1016/j.ijsu.2014.02.014

    Article  PubMed  Google Scholar 

  4. van der List J, Chawla H, Joskowicz L, Pearle A (2016) Current state of computer navigation and robotics in unicompartmental and total knee arthroplasty: A systematic review with meta-analysis. Knee Surg Sports Traumatol Arthrosc 24(11):3482–3495. https://doi.org/10.1007/s00167-016-4305-9

    Article  PubMed  Google Scholar 

  5. Jacofsky D, Allen M (2016) Robotics in arthroplasty: A comprehensive review. J Arthroplast 31(10):2353–2363. https://doi.org/10.1016/j.arth.2016.05.026

    Article  Google Scholar 

  6. Picard F, Moody J, DiGioia A, Jaramaz B (2004) Clinical classification of CAOS systems. In: DiGioia A, Jaramaz B, Picard F, Nolte L (eds) Computer and robotic assisted knee and hip surgery, vol 1. Oxford University Press, New York, pp 43–48

    Google Scholar 

  7. Buza J, Waterlain A, Thakkar S, Meree P, Vigdorchik J (2017) Navigation and robotics in knee arthroplasty. JBJS Rev 5(2):e4. https://doi.org/10.2106/JBJS.RVW.16.00047

    Article  PubMed  Google Scholar 

  8. Karthik K, Colegate-Stone T, Dasgupta P, Tavakkolizadeh A, Sinha J (2015) Robotic surgery in trauma and orthopaedics: A systematic review. J Bone Joint Surg Br 97-B(3):292–299. https://doi.org/10.1302/0301-620x.97b3.35107

    Article  CAS  Google Scholar 

  9. Lang J, Mannava S, Floyd A, Goddard M, Smith B, Mofidi A, Seyler T, Jinnah R (2011) Robotic systems in orthopaedic surgery. J Bone Joint Surg Br 93-B(10):1296–1299. https://doi.org/10.1302/0301-620x.93b10.27418

    Article  Google Scholar 

  10. Porter I, Goncalves-Bradley D, Ricci-Cabello I, Gibbons C, Gangannagaripalli J, Fitzpatrick R, Black N, Greenhalgh J, Valderas J (2016) Framework and guidance for implementing patient-reported outcomes in clinical practice: Evidence, challenges and opportunities. J Comp Eff Res 5(5):507–519. https://doi.org/10.2217/cer-2015-0014

    Article  PubMed  Google Scholar 

  11. Atkins D, Eccles M, Flottorp S, Guyatt G, Henry D, Hill S, Liberati A, O'Connell D, Oxman A, Phillips B, Schunemann H, Edejer T, Vist G, Williams J, Grade Working Group (2004) Systems for grading the quality of evidence and the strength of recommendations I: Critical appraisal of existing approaches the GRADE working group. BMC Health Serv Res 4(1):38. https://doi.org/10.1186/1472-6963-4-38

    Article  PubMed  PubMed Central  Google Scholar 

  12. Higgins J, Green S (2011) Cochrane handbook for systematic reviews of interventions. www.cochrane-handbook.org. Accessed 1 May 2017

  13. Moher D, Liberati A, Tetzlaff J, Altman D, PRISMA Group (2010) Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. Int J Surg 8(5):336–341. https://doi.org/10.1016/j.ijsu.2010.02.007

    Article  PubMed  Google Scholar 

  14. Downs S, Black N (1998) The feasibility of creating a checklist for the assessment of the methodological quality both of randomised and non-randomised studies of health care interventions. J Epidemiol Community Health 52(6):377–384. https://doi.org/10.1136/jech.52.6.377

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Pynsent P, Adams D, Disney S (2005) The Oxford hip and knee outcome questionnaires for arthroplasty. J Bone Joint Surg Br 87-B(2):241–248. https://doi.org/10.1302/0301-620X.87B2.15095

    Article  Google Scholar 

  16. Lingard E, Katz J, Wright R, Wright E, Sledge C, Kinemax Outcomes Group (2001) Validity and responsiveness of the Knee Society Clinical Rating System in comparison with the SF-36 and WOMAC. J Bone Joint Surg Am 83-A(12):1856–1864. https://doi.org/10.2106/00004623-200112000-00014

    Article  Google Scholar 

  17. Moonot P, Medalla GA, Matthews D, Kalairajah Y, Field RE (2009) Correlation between the Oxford knee and American Knee Society scores at mid-term follow-up. J Knee Surg 22(3):226–230. https://doi.org/10.1055/s-0030-1247753

    Article  PubMed  Google Scholar 

  18. Singh J, Schleck C, Harmsen W, Lewallen D (2013) Validation of the Hospital for Special Surgery knee questionnaire: convergent validity, responsiveness and sensitivity to change. Paper presented at the American College of Rheumatology Annual Meeting, San Diego, CA, October 25–30

  19. Singh J, Schleck C, Harmsen W, Lewallen D (2016) Validation of the Mayo Hip Score: Construct validity, reliability and responsiveness to change. BMC Musculoskelet Disord 17:39. https://doi.org/10.1186/s12891-016-0868-3

    Article  PubMed  PubMed Central  Google Scholar 

  20. McGrory B, Harris W (1996) Can the Western Ontario and McMaster Universities (WOMAC) Osteoarthritis Index be used to evaluate different hip joints in the same patient? J Arthroplast 11(7):841–844. https://doi.org/10.1016/S0883-5403(96)80184-7

    Article  CAS  Google Scholar 

  21. Bargar W, Bauer A, Borner M (1998) Primary and revision total hip replacement using the ROBODOC system. Clin Orthop Relat Res 354:82–91. https://doi.org/10.1097/00003086-199809000-00011

    Article  Google Scholar 

  22. Honl M, Dierk O, Gauck C, Carrero V, Lampe F, Dries S, Quante M, Schwieger K, Hille E, Morlock M (2003) Comparison of robotic-assisted and manual implantation of a primary total hip replacement: A prospective study. J Bone Joint Surg Am 85-A(8):1470–1478. https://doi.org/10.2106/00004623-200308000-00007

    Article  Google Scholar 

  23. Siebel T, Kafer W (2005) Clinical outcome following robotic assisted versus conventional total hip arthroplasty: A controlled and prospective study of seventy-one patients. Z Orthop Ihre Grenzgeb 143(4):391–398. https://doi.org/10.1055/s-2005-836776

    Article  CAS  PubMed  Google Scholar 

  24. Nishihara S, Sugano N, Nishii T, Miki H, Nakamura N, Yoshikawa H (2006) Comparison between hand rasping and robotic milling for stem implantation in cementless total hip arthroplasty. J Arthroplast 21(7):957–966. https://doi.org/10.1016/j.arth.2006.01.001

    Article  Google Scholar 

  25. Hananouchi T, Sugano N, Nishii T, Nakamura N, Miki H, Kakimoto A, Yamamura M, Yoshikawa H (2007) Effect of robotic milling on periprosthetic bone remodeling. J Orthop Res 25(8):1062–1069. https://doi.org/10.1002/jor.20376

    Article  PubMed  Google Scholar 

  26. Nakamura N, Sugano N, Nishii T, Kakimoto A, Miki H (2010) A comparison between robotic-assisted and manual implantation of cementless total hip arthroplasty. Clin Orthop Relat Res 468(4):1072–1081. https://doi.org/10.1007/s11999-009-1158-2

    Article  PubMed  Google Scholar 

  27. Lim S, Ko K, Park C, Moon Y, Park Y (2015) Robot-assisted primary cementless total hip arthroplasty with a short femoral stem: A prospective randomized short-term outcome study. Comput Aided Surg 20(1):41–46. https://doi.org/10.3109/10929088.2015.1076044

    Article  PubMed  Google Scholar 

  28. Bukowski B, Anderson P, Khlopas A, Chughtai M, Mont M, Illgen R (2016) Improved functional outcomes with robotic compared with manual total hip arthroplasty. Surg Technol Int 29:303–308

    PubMed  Google Scholar 

  29. Park S, Lee C (2007) Comparison of robotic-assisted and conventional manual implantation of a primary total knee arthroplasty. J Arthroplast 22(7):1054–1059. https://doi.org/10.1016/j.arth.2007.05.036

    Article  Google Scholar 

  30. Song E, Seon J, Park S, Jung W, Park H, Lee G (2011) Simultaneous bilateral total knee arthroplasty with robotic and conventional techniques: A prospective, randomized study. Knee Surg Sports Traumatol Arthrosc 19(7):1069–1076. https://doi.org/10.1007/s00167-011-1400-9

    Article  PubMed  Google Scholar 

  31. Song E, Seon J, Yim J, Netravali N, Bargar W (2013) Robotic-assisted TKA reduces postoperative alignment outliers and improves gap balance compared to conventional TKA knee. Clin Orthop Relat Res 471(1):118–126. https://doi.org/10.1007/s11999-012-2407-3

    Article  PubMed  Google Scholar 

  32. Liow M, Goh G, Wong M, Chin P, Tay D, Yeo S (2016) Robotic-assisted total knee arthroplasty may lead to improvement in quality-of-life measures: A 2-year follow-up of a prospective randomized trial. Knee Surg Sports Traumatol Arthrosc 25(9):22942–22951. https://doi.org/10.1007/s00167-016-4076-3

    Article  Google Scholar 

  33. Cobb J, Henckel J, Gomes P, Harris S, Jakopec M, Rodriguez F, Barrett A, Davies B (2006) Hands-on robotic unicompartmental knee replacement: A prospective, randomised controlled study of the Acrobot system. J Bone Joint Surg Br 88-B(2):188–197. https://doi.org/10.1302/0301-620X.88B2.17220

    Article  Google Scholar 

  34. Coon T, Driscoll M, Horowitz S, Conditt M (2011) Robotically assisted UKA is more accurate than manually instrumented UKA. Int J Med Robot 7:50

    Google Scholar 

  35. Australian Government (2005) Impacts of advances in medical technology in Australia. Productivity Commission. https://www.pc.gov.au/inquiries/completed/medical-technology/report/medicaltechnology.pdf. Accessed 14 Nov 2017

  36. American Joint Replacement Registry (2016) AJRR's patient-reported outcome measure guide. http://www.ajrr.net/images/downloads/Data_elements/AJRR_PROMS_GUIDE_2016_FINAL_4-5_FINAL.pdf. Accessed 14 Nov 2017

  37. National Health Service (2017) Patient reported outcome measures (PROMs) in England: A guide to PROMs methodology. https://digital.nhs.uk/data-and-information/data-tools-and-services/data-services/patient-reported-outcome-measures-proms. Accessed 11 Feb 2018

  38. International Consortium for Health Outcomes Measurement (2017) ICHOM: Hip & knee osteoarthritis data collection reference guide. vol 2.2.1. Massachusetts, USA

  39. Rolfson O, Wissig S, van Maasakkers L, Stowell C, Ackerman I, Ayers D, Barber T, Benzakour T, Bozic K, Budhiparama N, Caillouette J, Conaghan P, Dahlberg L, Dunn J, Grady-Benson J, Ibrahim S, Lewis S, Malchau H, Manzary M, March L, Nassif N, Nelissen R, Smith N, Franklin P (2016) Defining an international standard set of outcome measures for patients with hip or knee osteoarthritis: Consensus of the International Consortium for Health Outcomes Measurement Hip and Knee Osteoarthritis Working Group. Arthritis Care Res 68(11):1631–1639. https://doi.org/10.1002/acr.22868

    Article  Google Scholar 

  40. Carr A, Robertsson O, Graves S, Price A, Arden N, Judge A, Beard D (2012) Knee replacement. Lancet 379(9823):1331–1340. https://doi.org/10.1016/S0140-6736(11)60752-6

    Article  PubMed  Google Scholar 

  41. Pivec R, Johnson A, Mears S, Mont M (2012) Hip arthroplasty. Lancet 380(9855):1768–1777. https://doi.org/10.1016/S0140-6736(12)60607-2

    Article  PubMed  Google Scholar 

  42. Turktas U, Piskin A, Poehling GG (2016) Short-term outcomes of robotically assisted patello-femoral arthroplasty. Int Orthop 40(5):919–924. https://doi.org/10.1007/s00264-015-2786-7

    Article  PubMed  Google Scholar 

  43. Herry Y, Batailler C, Lording T, Servien E, Neyret P, Lustig S (2017) Improved joint-line restitution in unicompartmental knee arthroplasty using a robotic-assisted surgical technique. Int Orthop 41(11):2265–2271. https://doi.org/10.1007/s00264-017-3633-9

    Article  PubMed  Google Scholar 

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Correspondence to Sascha Karunaratne.

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Conflict of interest

Sascha Karunaratne, Michael Duan, Evangelos Pappas, Paul Stalley, Mark Horsley and Daniel Steffens declare that they have no conflict of interest.

Brett Fritsch owns stocks in Optimised Ortho and 360 Knee Systems; has performed consulting work for Optimised Ortho, 360 Knee Systems, Arthrex, Global Orthopaedics and Omni; and has received institutional support from Arthrex, Global Orthopaedics, Zimmer and Smith & Nephew.

Richard Boyle has performed consultancy work for Stryker, Adler, Signature and Global Orthopaedics and receives research assistance from Corin.

Sanjeev Gupta has performed consultancy work for Stryker, Depuy, Global Orthopaedics and Corin.

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Karunaratne, S., Duan, M., Pappas, E. et al. The effectiveness of robotic hip and knee arthroplasty on patient-reported outcomes: A systematic review and meta-analysis. International Orthopaedics (SICOT) 43, 1283–1295 (2019). https://doi.org/10.1007/s00264-018-4140-3

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