Evidence map›Paper›PMID 36474678›Full record

ArticleOsteoarthritis and cartilage open2020

The use of technology in the subcategorisation of osteoarthritis: a Delphi study approach.

Claire Mennan, Timothy Hopkins, Alastair Channon, Mark Elliott, Brian Johnstone, Timor Kadir, John Loughlin, Mandy Peffers, Andrew Pitsillides, Nidhi Sofat and 6 more

Abstract read
In one paragraph

Article in Osteoarthritis and cartilage open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Claire MennanThe Robert Jones & Agnes Hunt Orthopaedic Hospital NHS Foundation Trust & School of Pharmacy & Bioengineering, Keele University, Oswestry, Shropshire, SY10 7AG, UK.
Timothy HopkinsThe Robert Jones & Agnes Hunt Orthopaedic Hospital NHS Foundation Trust & School of Pharmacy & Bioengineering, Keele University, Oswestry, Shropshire, SY10 7AG, UK.
Alastair ChannonSchool of Computing & Mathematics, Keele University, Staffordshire, ST5 5BG, UK.
Mark ElliottInstitute of Digital Healthcare, WMG, University of Warwick, Coventry, CV4 7AL, UK.
Brian JohnstoneDepartment of Orthopaedics and Rehabilitation, Oregon Health and Science University, Portland, OR, 97239, USA.
Timor KadirOptellum Ltd, Oxford Centre for Innovation, Oxford, OX1 1BY, UK.
John LoughlinBiosciences Institute, International Centre for Life, Newcastle University, Newcastle upon Tyne, NE1 3BX, UK.
Mandy PeffersInstitute of Ageing and Chronic Disease, The University of Liverpool, L69 7ZX, UK.
Andrew PitsillidesComparative Biomedical Sciences, The Royal Veterinary College, London, NW1 0TU, UK.
Nidhi SofatInstitute of Infection and Immunity, St Georges University of London, SW17 0RE, UK.
Caroline StewartThe Robert Jones & Agnes Hunt Orthopaedic Hospital NHS Foundation Trust & School of Pharmacy & Bioengineering, Keele University, Oswestry, Shropshire, SY10 7AG, UK.
Fiona E WattCentre for Osteoarthritis Pathogenesis Versus Arthritis, Kennedy Institute of Rheumatology, NDORMS, University of Oxford, OX3 7FY, UK.
Eleftheria ZegginiHelmholtz Zentrum München - German Research Center for Environmental Health, Institute for Translational Genomics, Ingolstädter Landstr., 185764, Neuherberg, Germany.
Cathy HoltCardiff University, Queen's Buildings, The Parade, Cardiff, CF24 3AA, UK.
Sally RobertsThe Robert Jones & Agnes Hunt Orthopaedic Hospital NHS Foundation Trust & School of Pharmacy & Bioengineering, Keele University, Oswestry, Shropshire, SY10 7AG, UK.
OATech Network+ Consortium

Funding

Medical Research Council MR/L010453/1Medical Research Council MR/P020941/1Versus Arthritis 18480Versus Arthritis 20581Versus Arthritis 20771
6 · The paper itself

Abstract

Objective: This 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). Design: An 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. Results: Panel 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. Conclusion: Consensus 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.

Indexed as

BiomarkersOmicsOsteoarthritisPhenotypeStratificationTechnology

Identifiers

PMID36474678
PMCPMC9718088

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.