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Research Letter| Volume 21, ISSUE 2, P284-286, February 2020

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Patient's Engagement in the Identification of Critical Outcomes in Sarcopenia

Published:October 24, 2019DOI:https://doi.org/10.1016/j.jamda.2019.09.004
      The identification of relevant clinical outcomes of sarcopenia could be helpful for health professionals to improve sarcopenia management and for designing valid and useful clinical trials and outcome studies. Through observational studies, a flow of outcomes associated with sarcopenia has already been identified.
      • Visser M.
      • Schaap L.A.
      Consequences of sarcopenia.
      • Beaudart C.
      • Zaaria M.
      • Pasleau F.
      • et al.
      Health outcomes of sarcopenia: A systematic review and meta-analysis.
      • Janssen I.
      • Shepard D.S.
      • Katzmarzyk P.T.
      • Roubenoff R.
      The healthcare costs of sarcopenia in the United States.
      • Bruyère O.
      • Beaudart C.
      • Ethgen O.
      • et al.
      The health economics burden of sarcopenia: A systematic review.
      However, to ensure that the outcomes measured reflect those that matter most to patients, incorporation of the patients' perspective in clinical research is also critical.
      • de Wit M.
      • Cooper C.
      • Tugwell P.
      • et al.
      Practical guidance for engaging patients in health research, treatment guidelines and regulatory processes: Results of an expert group meeting organized by the World Health Organization (WHO) and the European Society for Clinical and Economic Aspects of Osteoporosis, Osteoarthritis and Musculoskeletal Diseases (ESCEO).
      ,
      • Caldwell B.
      Value and use of patient-reported outcomes (PROs) in assessing effects of medical devices.
      Qualitative interviews with experts and patients are a wise way to generate original outcomes not usually observed in studies designed with large cohorts of patients. This study aims therefore to identify critical outcomes for sarcopenia using rigorous research methodologies and to select the 5 most important outcomes that will be used in a further discrete-choice experiment (DCE) to get further insight into patients' preferences at a large scale.
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