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1.
Osteoarthr Cartil Open ; 6(4): 100522, 2024 Dec.
Article in English | MEDLINE | ID: mdl-39315296

ABSTRACT

Objective: To investigate the efficacy and safety of an oral complementary medicine combination formulation relative to placebo, on changes in pain intensity from baseline to week 12, in people with knee osteoarthritis (OA). Design: A placebo-controlled, double-blind, two-arm, superiority, phase II, Randomized Controlled Trial (RCT) (ACTRN12623000380695). We will recruit 82 participants (∼41 per arm), aged ≥40 years, with a clinical diagnosis of symptomatic knee OA and radiographic change on x-ray (Kellgren-Lawrence Grade ≥2). Participants will be randomly allocated to receive either a complementary medicine formulation containing a daily dose of Boswellia serrata extract (Boswellin® Super, 250 â€‹mg/day), pine bark extract (Fenoprolic™ 70 Organic 100 â€‹mg/day), curcumin (500 â€‹mg/day), piperine (5 â€‹mg/day), and methylsulfonylmethane (MSM, 1500 â€‹mg/day), or placebo, for 12-weeks. The primary endpoint will be change from baseline in average knee pain intensity at 12-weeks (visual analogue scale). Secondary endpoints will include change in knee pain from baseline to 12-weeks in the Knee Injury and Osteoarthritis Outcome Score (KOOS), global assessment of disease activity, global rating of change, and health-related quality of life (AQoL-8D). Ethics and dissemination: This protocol has been approved by the University of Sydney Human Research Ethics Committee (#2021/877). Dissemination will occur through lay summaries, infographics, conference abstracts, oral presentations, theses, and scientific publications. Conclusion: This RCT will provide credible evidence about the efficacy and safety of this complementary medicine combination and inform updates to international clinical practice standards on the use of complementary medicines in the management of symptomatic knee OA.

2.
BMJ Open ; 12(9): e060326, 2022 09 07.
Article in English | MEDLINE | ID: mdl-36691172

ABSTRACT

INTRODUCTION: The terms 'precision medicine' and 'personalised medicine' have become key terms in health-related research and in science-related public communication. However, the application of these two concepts and their interpretation in various disciplines are heterogeneous, which also affects research translation and public awareness. This leads to confusion regarding the use and distinction of the two concepts. Our aim is to provide a snapshot of the current understanding of these concepts. METHODS AND ANALYSIS: Our study will use Rodgers' evolutionary concept analysis to systematically examine the current understanding of the concepts 'precision medicine' and 'personalised medicine' in clinical medicine, biomedicine (incorporating genomics and bioinformatics), health services research, physics, chemistry, engineering, machine learning and artificial intelligence, and to identify their respective attributes (clusters of characteristics) and surrogate and related terms. A systematic search of the literature will be conducted for 2016-2022 using databases relevant to each of these disciplines: ACM Digital Library, CINAHL, Cochrane Library, F1000Research, IEEE Xplore, PubMed/Medline, Science Direct, Scopus and Web of Science. These are among the most representative databases for the included disciplines. We will examine similarities and differences in definitions of 'precision medicine' and 'personalised medicine' in the respective disciplines and across (sub)disciplines, including attributes of each term. This will enable us to determine how these two concepts are distinguished. ETHICS AND DISSEMINATION: Following ethical and research standards, we will comprehensively report the methodology for a systematic analysis following Rodgers' concept analysis method. Our systematic concept analysis will contribute to the clarification of the two concepts and distinction in their application in given settings and circumstances. Such a broad concept analysis will contribute to non-systematic syntheses of the concepts, or occasional systematic reviews on one of the concepts that have been published in specific disciplines, in order to facilitate interdisciplinary communication, translational medical research and implementation science.


Subject(s)
Artificial Intelligence , Precision Medicine , Humans , Machine Learning , Systematic Reviews as Topic
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