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The use of technology in the subcategorisation of osteoarthritis: A delphi study approach.
Osteoarthr. Cartil. 2:100081 (2020)
ObjectiveThis
UK-wide OATech+ Network consensus study utilised a Delphi approach to
discern levels. of awareness across an expert panel regarding the role
of existing and novel technologies in osteoarthritis research. To direct
future cross-disciplinary research it aimed to identify which could be
adopted to subcategorise patients with osteoarthritis (OA).DesignAn
online questionnaire was formulated based on technologies which might
aid OA research and subcategorisation. During a two-day face-to-face
meeting concordance of expert opinion was established with surveys (23
questions) before, during and at the end of the meeting (Rounds 1,2 and
3, respectively). Experts spoke on current evidence for imaging,
genomics, epigenomics, proteomics, metabolomics, biomarkers, activity
monitoring, clinical engineering and machine learning relating to
subcategorisation. For each round of voting, ≥80% votes led to consensus
and ≤20% to exclusion of a statement.ResultsPanel
members were unanimous that a combination of novel technological
advances have potential to improve OA diagnostics and treatment through
subcategorisation,. agreeing in Rounds 1 and 2 that epigenetics,
genetics, MRI, proteomics, wet biomarkers and machine learning could aid
subcategorisation. Expert presentations changed participants’ opinions
on the value of metabolomics, activity monitoring and clinical
engineering, all reaching consensus in Round 2. X-rays lost consensus
between Rounds 1 and 2; clinical X-rays reached consensus in Round 3.ConclusionConsensus
identified that 9 of the 11 technologies should be targeted towards OA
subcategorisation to address existing OA research technology and
knowledge gaps. These novel, rapidly evolving technologies are
recommended as a focus for emergent, cross-disciplinary osteoarthritis
research programmes.
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Publication type
Article: Journal article
Document type
Scientific Article
Keywords
Stratification; Osteoarthritis; Technology; Phenotype; Omics; Biomarkers
ISSN (print) / ISBN
1063-4584
e-ISSN
1063-4584
Journal
Osteoarthritis and Cartilage
Quellenangaben
Volume: 2,
Issue: 3,
Article Number: 100081
Publisher
Elsevier
Non-patent literature
Publications
Reviewing status
Peer reviewed
Institute(s)
Institute of Translational Genomics (ITG)