254
Views
2
CrossRef citations to date
0
Altmetric
Articles

Predictive relationship between psychological, social, physical activity, and sleep measures and somatosensory function in individuals with musculoskeletal pain: a systematic review and meta-analysis protocol

, ORCID Icon, , & ORCID Icon
Pages 366-376 | Received 22 Oct 2018, Accepted 23 Jul 2019, Published online: 06 Aug 2019

References

  • Woolf AD, Pfleger B. Burden of major musculoskeletal conditions. Bull World Health Organ. 2003;81:646–656.
  • Global Burden of Disease Study 2013 Collaborators. Global, regional, and national incidence, prevalence, and years lived with disability for 301 acute and chronic diseases and injuries in 188 countries, 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet. 2015;386:743–800.
  • Coppieters I, Meeus M, Kregel J. Relations between brain alterations and clinical pain measures in chronic musculoskeletal pain: a systematic review. J Pain. 2016;17:949–962.
  • Nijs J, Torres-Cueco R, van Wilgen CP. Applying modern pain neuroscience in clinical practice: criteria for the classification of central sensitization pain. Pain Physician. 2014;17:447–457.
  • Arendt-Nielsen L, Nie H, Laursen MB, et al. Sensitization in patients with painful knee osteoarthritis. Pain. 2010;149:573–581.
  • Roussel NA, Nijs J, Meeus M, et al. Central sensitization and altered central pain processing in chronic low back pain: fact or myth? Clin J Pain. 2013;29:625–638.
  • Yusuf E, Kortekaas MC, Watt I, et al. Do knee abnormalities visualised on MRI explain knee pain in knee osteoarthritis? a systematic review. Ann Rheum Dis. 2011;70:60–67.
  • Edwards RR, Dworkin RH, Sullivan MD, et al. The role of psychosocial processes in the development and maintenance of chronic pain. J Pain. 2016;17:T70–T92.
  • Fillingim RB, Bruehl S, Dworkin RH, et al. The ACTTION-American Pain Society Pain Taxonomy (AAPT): an evidence-based and multidimensional approach to classifying chronic pain conditions. J Pain. 2014;15:241–249.
  • Finan PH, Goodin BR, Smith MT. The association of sleep and pain: an update and a path forward. J Pain. 2013;14:1539–1552.
  • Curatolo M. Diagnosis of altered central pain processing. Spine. 2011;36:S200–S204.
  • Latremoliere A, Woolf CJ. Central sensitization: a generator of pain hypersensitivity by central neural plasticity. J Pain. 2009;10:895–926.
  • Woolf CJ. Central sensitization: implications for the diagnosis and treatment of pain. Pain. 2011;152:S2–S15.
  • Nijs J, Van Houdenhove B, Oostendorp RA. Recognition of central sensitization in patients with musculoskeletal pain: application of pain neurophysiology in manual therapy practice. Man Ther. 2010;15:135–141.
  • Nijs J, Van Houdenhove B. From acute musculoskeletal pain to chronic widespread pain and fibromyalgia: application of pain neurophysiology in manual therapy practice. Man Ther. 2009;14:3–12.
  • Jull G, Sterling M, Kenardy J, et al. Does the presence of sensory hypersensitivity influence outcomes of physical rehabilitation for chronic whiplash?–a preliminary RCT. Pain. 2007;129:28–34.
  • Van Oosterwijck J, Nijs J, Meeus M, et al. Evidence for central sensitization in chronic whiplash: a systematic literature review. Eur J Pain. 2013;17:299–312.
  • Fingleton C, Smart K, Moloney N, et al. Pain sensitization in people with knee osteoarthritis: a systematic review and meta-analysis. Osteoarthritis Cartilage. 2015;23:1043–1056.
  • Lluch E, Torres R, Nijs J, et al. Evidence for central sensitization in patients with osteoarthritis pain: a systematic literature review. Eur J Pain. 2014;18:1367–1375.
  • Noten S, Struyf F, Lluch E, et al. Central pain processing in patients with shoulder pain: a review of the literature. Pain Pract. 2017;17:267–280.
  • Sanchis MN, Lluch E, Nijs J, et al. The role of central sensitization in shoulder pain: a systematic literature review. Semin Arthritis Rheum. 2015;44:710–716.
  • Curatolo M, Arendt-Nielsen L. Central hypersensitivity in chronic musculoskeletal pain. Phys Med Rehabil Clin N Am. 2015;26:175–184.
  • Uddin Z, MacDermid JC. Quantitative sensory testing in chronic musculoskeletal pain. Pain Med. 2016;17:1694–1703.
  • Read J. The place of human psychophysics in modern neuroscience. Neuroscience. 2015;296:116–129.
  • Cruz-Almeida Y, Fillingim RB. Can quantitative sensory testing move us closer to mechanism-based pain management? Pain Med. 2014;15:61–72.
  • Rolke R, Magerl W, Campbell KA, et al. Quantitative sensory testing: a comprehensive protocol for clinical trials. Eur J Pain. 2006;10:77–88.
  • Smith SM, Dworkin RH, Turk DC, et al. The potential role of sensory testing, skin biopsy, and functional brain imaging as biomarkers in chronic pain clinical trials: IMMPACT considerations. J Pain. 2017;18:757–777.
  • O'Leary H, Smart KM, Moloney NA, et al. Nervous system sensitization as a predictor of outcome in the treatment of peripheral musculoskeletal conditions: a systematic review. Pain Pract. 2017;17:249–266.
  • Hubscher M, Moloney N, Leaver A, et al. Relationship between quantitative sensory testing and pain or disability in people with spinal pain-a systematic review and meta-analysis. Pain. 2013;154:1497–1504.
  • Goldsmith R, Wright C, Bell SF, et al. Cold hyperalgesia as a prognostic factor in whiplash associated disorders: a systematic review. Man Ther. 2012;17:402–410.
  • Coombes BK, Bisset L, Vicenzino B. Cold hyperalgesia associated with poorer prognosis in lateral epicondylalgia: a 1-year prognostic study of physical and psychological factors. Clin J Pain. 2015;31:30–35.
  • Hansen MS, Horjales-Araujo E, Dahl JB. Associations between psychological variables and pain in experimental pain models: a systematic review. Acta Anaesthesiol Scand. 2015;59:1094–1102.
  • Tesarz J, Gerhardt A, Leisner S, et al. Distinct quantitative sensory testing profiles in nonspecific chronic back pain subjects with and without psychological trauma. Pain. 2015;156:577–586.
  • George SZ, Hirsh AT. Psychologic influence on experimental pain sensitivity and clinical pain intensity for patients with shoulder pain. J Pain. 2009;10:293–299.
  • Mason KJ, O’Neill TW, Lunt M, et al. Psychosocial factors partially mediate the relationship between mechanical hyperalgesia and self-reported pain. Scand J Pain. 2018;18:59–69.
  • George SZ, Wittmer VT, Fillingim RB, et al. Sex and pain-related psychological variables are associated with thermal pain sensitivity for patients with chronic low back pain. J Pain. 2007;8:2–10.
  • Nahman-Averbuch H, Nir RR, Sprecher E, et al. Psychological factors and conditioned pain modulation: a meta-analysis. Clin J Pain. 2016;32:541–554.
  • Krahe C, Springer A, Weinman JA, et al. The social modulation of pain: others as predictive signals of salience - a systematic review. Front Hum Neurosci. 2013;7:386.
  • Andersen TE, Ravn SL, Manniche C, et al. The impact of attachment insecurity on pain and pain behaviors in experimental pain. J Psychosom Res. 2018;111:127–132.
  • Flor H, Breitenstein C, Birbaumer N, et al. A psychophysiological analysis of spouse solicitousness towards pain behaviors, spouse interaction, and pain perception. Behav Ther. 1995;26:255–272.
  • Hermans L, Van Oosterwijck J, Goubert D, et al. Inventory of personal factors influencing conditioned pain modulation in healthy people: a systematic literature review. Pain Pract. 2016;16:758–769.
  • Cruz-Almeida Y, Cardoso J, Riley JL, et al. Physical performance and movement-evoked pain profiles in community-dwelling individuals at risk for knee osteoarthritis. Exp Gerontol. 2017;98:186–191.
  • Kuppens K, Hans G, Roussel N, et al. Sensory processing and central pain modulation in patients with chronic shoulder pain: a case-control study. Scand J Med Sci Sports. 2018;28:1183–1192.
  • Schrimpf M, Liegl G, Boeckle M, et al. The effect of sleep deprivation on pain perception in healthy subjects: a meta-analysis. Sleep Med. 2015;16:1313–1320.
  • Lee YC, Chibnik LB, Lu B, et al. The relationship between disease activity, sleep, psychiatric distress and pain sensitivity in rheumatoid arthritis: a cross-sectional study. Arthritis Res Ther. 2009;11:R160.
  • Smith MT, Wickwire EM, Grace EG, et al. Sleep disorders and their association with laboratory pain sensitivity in temporomandibular joint disorder. Sleep. 2009;32:779–790.
  • Moher D, Liberati A, Tetzlaff J, et al. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med. 2009;6:e1000097.
  • Marcuzzi A, Dean CM, Wrigley PJ, et al. Early changes in somatosensory function in spinal pain: a systematic review and meta-analysis. Pain. 2015;156:203–214.
  • Turk DC, Fillingim RB, Ohrbach R, et al. Assessment of psychosocial and functional impact of chronic pain. J Pain. 2016;17:T21–T49.
  • Taylor LEV, Stotts NA, Humphreys J, et al. A biopsychosocial-spiritual model of chronic pain in adults with sickle cell disease. Pain Manag Nurs. 2013;14:287–301.
  • Arendt-Nielsen L, Fernández-de-Las-Peñas C, Graven-Nielsen T. Basic aspects of musculoskeletal pain: from acute to chronic pain. J Man Manip Ther. 2011;19:186–193.
  • Hayden JA, Cote P, Bombardier C. Evaluation of the quality of prognosis studies in systematic reviews. Ann Intern Med. 2006;144:427–437.
  • Hayden JA, van der Windt DA, Cartwright JL, et al. Assessing bias in studies of prognostic factors. Ann Intern Med. 2013;158:280–286.
  • Whiting PF, Rutjes AW, Westwood ME, et al. QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies. Ann Intern Med. 2011;155:529–536.
  • Moons KG, de Groot JA, Bouwmeester W, et al. Critical appraisal and data extraction for systematic reviews of prediction modelling studies: the CHARMS checklist. PLoS Med. 2014;11:e1001744.
  • Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics. 1977;33:159–174.
  • Guyatt G, Oxman AD, Akl EA, et al. GRADE guidelines: 1. Introduction-GRADE evidence profiles and summary of findings tables. J Clin Epidemiol. 2011;64:383–394.
  • Huguet A, Hayden JA, Stinson J, et al. Judging the quality of evidence in reviews of prognostic factor research: adapting the GRADE framework. Syst Rev. 2013;2:71.
  • Huguet A, Tougas ME, Hayden J, et al. Systematic review with meta-analysis of childhood and adolescent risk and prognostic factors for musculoskeletal pain. Pain. 2016;157:2640–2656.
  • Schunemann HJ, Oxman AD, Brozek J, et al. Grading quality of evidence and strength of recommendations for diagnostic tests and strategies. BMJ. 2008;336:1106–1110.
  • Higgins JP, Green S. Cochrane handbook for systematic reviews of interventions. Hoboken (NJ): John Wiley & Sons, 2011.
  • Chalkidou A, Landau DB, Odell EW, et al. Correlation between Ki-67 immunohistochemistry and 18F-fluorothymidine uptake in patients with cancer: a systematic review and meta-analysis. Eur J Cancer. 2012;48:3499–3513.
  • DerSimonian R, Laird N. Meta-analysis in clinical trials. Control Clin Trials. 1986;7:177–188.
  • Lau J, Ioannidis JP, Terrin N, et al. The case of the misleading funnel plot. BMJ. 2006;333:597–600.
  • Klyne DM, Moseley GL, Sterling M, et al. Individual variation in pain sensitivity and conditioned pain modulation in acute low back pain: effect of stimulus type, sleep, and psychological and lifestyle factors. J Pain. 2018;19:942.e1–942.e18.
  • Boersma K, Linton SJ. Expectancy, fear and pain in the prediction of chronic pain and disability: a prospective analysis. Eur J Pain. 2006;10:551–557.

References

  • Hayden JA, Cote P, Bombardier C. Evaluation of the quality of prognosis studies in systematic reviews. Ann Intern Med. 2006;144:427–437.
  • Hayden JA, van der Windt DA, Cartwright JL, et al. Assessing bias in studies of prognostic factors. Ann Intern Med. 2013;158:280–286.
  • Moons KG, de Groot JA, Bouwmeester W, et al. Critical appraisal and data extraction for systematic reviews of prediction modelling studies: the CHARMS checklist. PLoS Med. 2014;11:e1001744.
  • Whiting PF, Rutjes AW, Westwood ME, et al. QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies. Ann Intern Med. 2011;155:529–536.
  • Chalkidou A, Landau DB, Odell EW, et al. Correlation between Ki-67 immunohistochemistry and 18F-fluorothymidine uptake in patients with cancer: A systematic review and meta-analysis. Eur J Cancer. 2012;48:3499–3513.
  • Clark J, Nijs J, Yeowell G, et al. What are the predictors of altered central pain modulation in chronic musculoskeletal pain populations? A systematic review. Pain Physician. 2017;20:487–500.
  • Huguet A, Tougas ME, Hayden J, et al. Systematic review with meta-analysis of childhood and adolescent risk and prognostic factors for musculoskeletal pain. Pain. 2016;157:2640–2656.
  • Laisne F, Lecomte C, Corbiere M. Biopsychosocial predictors of prognosis in musculoskeletal disorders: a systematic review of the literature (corrected and republished) *. Disabil Rehabil. 2012;34:1912–1941.
  • Marcuzzi A, Dean CM, Wrigley PJ, et al. Prognostic value of quantitative sensory testing in low back pain: a systematic review of the literature. J Pain Res . 2016;9:599–607.
  • O'Leary H, Smart KM, Moloney NA, et al. Nervous system sensitization as a predictor of outcome in the treatment of peripheral musculoskeletal conditions: a systematic review. Pain Pract. 2017;17:249–266.
  • Arendt-Nielsen L, Fernández-de-Las-Peñas C, Graven-Nielsen T. Basic aspects of musculoskeletal pain: from acute to chronic pain. J Man Manip Ther. 2011;19:186–193.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.