An updated algorithm recommendation for the management of knee osteoarthritis from the European Society for Clinical and Economic Aspects of Osteoporosis, Osteoarthritis and Musculoskeletal Diseases (ESCEO)

Olivier Bruyère, Germain Honvo, Nicola Veronese, Nigel K. Arden, Jaime Branco, Elizabeth M. Curtis, Nasser M. Al-Daghri, Gabriel Herrero-Beaumont, Johanne Martel-Pelletier, Jean Pierre Pelletier, François Rannou, René Rizzoli, Roland Roth, Daniel Uebelhart, Cyrus Cooper, Jean Yves Reginster

Research output: Contribution to journalReview article

5 Citations (Scopus)

Abstract

Objectives: The European Society for Clinical and Economic Aspects of Osteoporosis, Osteoarthritis and Musculoskeletal Diseases (ESCEO) sought to revisit the 2014 algorithm recommendations for knee osteoarthritis (OA), in light of recent efficacy and safety evidence, in order to develop an updated stepwise algorithm that provides practical guidance for the prescribing physician that is applicable in Europe and internationally. Methods: Using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) process, a summary of evidence document for each intervention in OA was provided to all members of an ESCEO working group, who were required to evaluate and vote on the strength of recommendation for each intervention. Based on the evidence collected, and on the strength of recommendations afforded by consensus of the working group, the final algorithm was constructed. Results: An algorithm for management of knee OA comprising a stepwise approach and incorporating consensus on 15 treatment recommendations was prepared by the ESCEO working group. Both “strong” and “weak” recommendations were afforded to different interventions. The algorithm highlights the continued importance of non-pharmacological interventions throughout the management of OA. Benefits and limitations of different pharmacological treatments are explored in this article, with particular emphasis on safety issues highlighted by recent literature analyses. Conclusions: The updated ESCEO stepwise algorithm, developed by consensus from clinical experts in OA and informed by available evidence for the benefits and harms of various treatments, provides practical, current guidance that will enable clinicians to deliver patient-centric care in OA practice.

Original languageEnglish
JournalSeminars in Arthritis and Rheumatism
DOIs
Publication statusPublished - 1 Jan 2019

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Musculoskeletal Diseases
Knee Osteoarthritis
Osteoarthritis
Osteoporosis
Economics
Safety
Patient Care
Therapeutics
Pharmacology
Physicians

Keywords

  • Algorithm
  • GRADE
  • Knee osteoarthritis
  • Recommendations
  • Treatment

Cite this

Bruyère, Olivier ; Honvo, Germain ; Veronese, Nicola ; Arden, Nigel K. ; Branco, Jaime ; Curtis, Elizabeth M. ; Al-Daghri, Nasser M. ; Herrero-Beaumont, Gabriel ; Martel-Pelletier, Johanne ; Pelletier, Jean Pierre ; Rannou, François ; Rizzoli, René ; Roth, Roland ; Uebelhart, Daniel ; Cooper, Cyrus ; Reginster, Jean Yves. / An updated algorithm recommendation for the management of knee osteoarthritis from the European Society for Clinical and Economic Aspects of Osteoporosis, Osteoarthritis and Musculoskeletal Diseases (ESCEO). In: Seminars in Arthritis and Rheumatism. 2019.
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title = "An updated algorithm recommendation for the management of knee osteoarthritis from the European Society for Clinical and Economic Aspects of Osteoporosis, Osteoarthritis and Musculoskeletal Diseases (ESCEO)",
abstract = "Objectives: The European Society for Clinical and Economic Aspects of Osteoporosis, Osteoarthritis and Musculoskeletal Diseases (ESCEO) sought to revisit the 2014 algorithm recommendations for knee osteoarthritis (OA), in light of recent efficacy and safety evidence, in order to develop an updated stepwise algorithm that provides practical guidance for the prescribing physician that is applicable in Europe and internationally. Methods: Using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) process, a summary of evidence document for each intervention in OA was provided to all members of an ESCEO working group, who were required to evaluate and vote on the strength of recommendation for each intervention. Based on the evidence collected, and on the strength of recommendations afforded by consensus of the working group, the final algorithm was constructed. Results: An algorithm for management of knee OA comprising a stepwise approach and incorporating consensus on 15 treatment recommendations was prepared by the ESCEO working group. Both “strong” and “weak” recommendations were afforded to different interventions. The algorithm highlights the continued importance of non-pharmacological interventions throughout the management of OA. Benefits and limitations of different pharmacological treatments are explored in this article, with particular emphasis on safety issues highlighted by recent literature analyses. Conclusions: The updated ESCEO stepwise algorithm, developed by consensus from clinical experts in OA and informed by available evidence for the benefits and harms of various treatments, provides practical, current guidance that will enable clinicians to deliver patient-centric care in OA practice.",
keywords = "Algorithm, GRADE, Knee osteoarthritis, Recommendations, Treatment",
author = "Olivier Bruy{\`e}re and Germain Honvo and Nicola Veronese and Arden, {Nigel K.} and Jaime Branco and Curtis, {Elizabeth M.} and Al-Daghri, {Nasser M.} and Gabriel Herrero-Beaumont and Johanne Martel-Pelletier and Pelletier, {Jean Pierre} and Fran{\cc}ois Rannou and Ren{\'e} Rizzoli and Roland Roth and Daniel Uebelhart and Cyrus Cooper and Reginster, {Jean Yves}",
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Bruyère, O, Honvo, G, Veronese, N, Arden, NK, Branco, J, Curtis, EM, Al-Daghri, NM, Herrero-Beaumont, G, Martel-Pelletier, J, Pelletier, JP, Rannou, F, Rizzoli, R, Roth, R, Uebelhart, D, Cooper, C & Reginster, JY 2019, 'An updated algorithm recommendation for the management of knee osteoarthritis from the European Society for Clinical and Economic Aspects of Osteoporosis, Osteoarthritis and Musculoskeletal Diseases (ESCEO)' Seminars in Arthritis and Rheumatism. https://doi.org/10.1016/j.semarthrit.2019.04.008

An updated algorithm recommendation for the management of knee osteoarthritis from the European Society for Clinical and Economic Aspects of Osteoporosis, Osteoarthritis and Musculoskeletal Diseases (ESCEO). / Bruyère, Olivier; Honvo, Germain; Veronese, Nicola; Arden, Nigel K.; Branco, Jaime; Curtis, Elizabeth M.; Al-Daghri, Nasser M.; Herrero-Beaumont, Gabriel; Martel-Pelletier, Johanne; Pelletier, Jean Pierre; Rannou, François; Rizzoli, René; Roth, Roland; Uebelhart, Daniel; Cooper, Cyrus; Reginster, Jean Yves.

In: Seminars in Arthritis and Rheumatism, 01.01.2019.

Research output: Contribution to journalReview article

TY - JOUR

T1 - An updated algorithm recommendation for the management of knee osteoarthritis from the European Society for Clinical and Economic Aspects of Osteoporosis, Osteoarthritis and Musculoskeletal Diseases (ESCEO)

AU - Bruyère, Olivier

AU - Honvo, Germain

AU - Veronese, Nicola

AU - Arden, Nigel K.

AU - Branco, Jaime

AU - Curtis, Elizabeth M.

AU - Al-Daghri, Nasser M.

AU - Herrero-Beaumont, Gabriel

AU - Martel-Pelletier, Johanne

AU - Pelletier, Jean Pierre

AU - Rannou, François

AU - Rizzoli, René

AU - Roth, Roland

AU - Uebelhart, Daniel

AU - Cooper, Cyrus

AU - Reginster, Jean Yves

PY - 2019/1/1

Y1 - 2019/1/1

N2 - Objectives: The European Society for Clinical and Economic Aspects of Osteoporosis, Osteoarthritis and Musculoskeletal Diseases (ESCEO) sought to revisit the 2014 algorithm recommendations for knee osteoarthritis (OA), in light of recent efficacy and safety evidence, in order to develop an updated stepwise algorithm that provides practical guidance for the prescribing physician that is applicable in Europe and internationally. Methods: Using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) process, a summary of evidence document for each intervention in OA was provided to all members of an ESCEO working group, who were required to evaluate and vote on the strength of recommendation for each intervention. Based on the evidence collected, and on the strength of recommendations afforded by consensus of the working group, the final algorithm was constructed. Results: An algorithm for management of knee OA comprising a stepwise approach and incorporating consensus on 15 treatment recommendations was prepared by the ESCEO working group. Both “strong” and “weak” recommendations were afforded to different interventions. The algorithm highlights the continued importance of non-pharmacological interventions throughout the management of OA. Benefits and limitations of different pharmacological treatments are explored in this article, with particular emphasis on safety issues highlighted by recent literature analyses. Conclusions: The updated ESCEO stepwise algorithm, developed by consensus from clinical experts in OA and informed by available evidence for the benefits and harms of various treatments, provides practical, current guidance that will enable clinicians to deliver patient-centric care in OA practice.

AB - Objectives: The European Society for Clinical and Economic Aspects of Osteoporosis, Osteoarthritis and Musculoskeletal Diseases (ESCEO) sought to revisit the 2014 algorithm recommendations for knee osteoarthritis (OA), in light of recent efficacy and safety evidence, in order to develop an updated stepwise algorithm that provides practical guidance for the prescribing physician that is applicable in Europe and internationally. Methods: Using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) process, a summary of evidence document for each intervention in OA was provided to all members of an ESCEO working group, who were required to evaluate and vote on the strength of recommendation for each intervention. Based on the evidence collected, and on the strength of recommendations afforded by consensus of the working group, the final algorithm was constructed. Results: An algorithm for management of knee OA comprising a stepwise approach and incorporating consensus on 15 treatment recommendations was prepared by the ESCEO working group. Both “strong” and “weak” recommendations were afforded to different interventions. The algorithm highlights the continued importance of non-pharmacological interventions throughout the management of OA. Benefits and limitations of different pharmacological treatments are explored in this article, with particular emphasis on safety issues highlighted by recent literature analyses. Conclusions: The updated ESCEO stepwise algorithm, developed by consensus from clinical experts in OA and informed by available evidence for the benefits and harms of various treatments, provides practical, current guidance that will enable clinicians to deliver patient-centric care in OA practice.

KW - Algorithm

KW - GRADE

KW - Knee osteoarthritis

KW - Recommendations

KW - Treatment

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DO - 10.1016/j.semarthrit.2019.04.008

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JO - Seminars in Arthritis and Rheumatism

JF - Seminars in Arthritis and Rheumatism

SN - 0049-0172

ER -