Dr VASILEIOS GEORGOPOULOS VASILEIOS.GEORGOPOULOS@NOTTINGHAM.AC.UK
Research Fellow
Quantitative sensory testing and predicting outcomes for musculoskeletal pain, disability, and negative affect: a systematic review and meta-analysis
Georgopoulos, Vasileios; Akin-Akinyosoye, Kehinde; Zhang, Weiya; McWilliams, Daniel F.; Hendrick, Paul; Walsh, David A.
Authors
Kehinde Akin-Akinyosoye
Professor WEIYA ZHANG WEIYA.ZHANG@NOTTINGHAM.AC.UK
Professor of Epidemiology
Dr DANIEL MCWILLIAMS DAN.MCWILLIAMS@NOTTINGHAM.AC.UK
Senior Research Fellow
Paul Hendrick
DAVID WALSH david.walsh@nottingham.ac.uk
Professor of Rheumatology
Abstract
Hypersensitivity due to central pain mechanisms can influence recovery and lead to worse clinical outcomes, but the ability of quantitative sensory testing (QST), an index of sensitisation, to predict outcomes in chronic musculoskeletal disorders remains unclear. We systematically reviewed the evidence for ability of QST to predict pain, disability and negative affect using searches of CENTRAL, MEDLINE, EMBASE, AMED, CINAHL and PubMed databases up to April 2018. Title screening, data extraction, and methodological quality assessments were performed independently by 2 reviewers. Associations were reported between baseline QST and outcomes using adjusted (β) and unadjusted (r) correlations. Of the 37 eligible studies (n=3860 participants), 32 were prospective cohort studies and 5 randomised controlled trials. Pain was an outcome in 30 studies, disability in 11 and negative affect in 3. Metaanalysis revealed that baseline QST predicted musculoskeletal pain (mean r=0.31, 95%CI: 0.23 to 0.38, n=1057 participants) and disability (mean r=0.30, 95%CI: 0.19 to 0.40, n=290 participants). Baseline modalities quantifying central mechanisms such as temporal summation (TS) and conditioned pain modulation (CPM) were associated with follow-up pain (TS: mean r=0.37, 95%CI: 0.17 to 0.54; CPM: r=0.36, 95%CI: 0.20 to 0.50), whereas baseline mechanical threshold modalities were predictive of followup disability (mean r=0.25, 95%CI: 0.03 to 0.45). QST indices of pain hypersensitivity might help develop targeted interventions aiming to improve outcomes across a range of musculoskeletal conditions.
Citation
Georgopoulos, V., Akin-Akinyosoye, K., Zhang, W., McWilliams, D. F., Hendrick, P., & Walsh, D. A. (2019). Quantitative sensory testing and predicting outcomes for musculoskeletal pain, disability, and negative affect: a systematic review and meta-analysis. PAIN, 160(9), 1920-1932. https://doi.org/10.1097/j.pain.0000000000001590
Journal Article Type | Article |
---|---|
Acceptance Date | Apr 10, 2019 |
Online Publication Date | Apr 25, 2019 |
Publication Date | 2019-09 |
Deposit Date | Apr 17, 2019 |
Publicly Available Date | Aug 1, 2019 |
Journal | PAIN |
Print ISSN | 0304-3959 |
Electronic ISSN | 1872-6623 |
Publisher | Lippincott, Williams & Wilkins |
Peer Reviewed | Peer Reviewed |
Volume | 160 |
Issue | 9 |
Pages | 1920-1932 |
DOI | https://doi.org/10.1097/j.pain.0000000000001590 |
Keywords | Musculoskeletal pain, Pain sensitisation, Quantitative sensory testing, Systematic review, |
Public URL | https://nottingham-repository.worktribe.com/output/1820802 |
Publisher URL | https://journals.lww.com/pain/Fulltext/2019/09000/Quantitative_sensory_testing_and_predicting.3.aspx |
Contract Date | Apr 25, 2019 |
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Quantitative sensory testing and predicting outcomes for musculoskeletal pain, disability, and negative affect: a systematic review and meta-analysis
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Publisher Licence URL
https://creativecommons.org/licenses/by-nc/4.0/
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