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The association of Raynaud’s syndrome with carpal tunnel syndrome: a meta-analysis


Carpal tunnel syndrome (CTS) has traditionally been included among the diseases associated with Raynaud’s syndrome (RS). The prevalence of RS in patients suffering from CTS is not well defined. The objective of this paper was to assess the prevalence of RS in patients with CTS—a meta-analysis of published data was performed. The PubMed database of the National Library of Medicine and ISI Web of Knowledge was used for studies dealing with RS and CTS. The studies provided sufficient data to estimate the prevalence of RS in patients of CTS. A forest plot was determined by the revealed prevalence. Statistical analysis was based on methods for a random effects meta-analysis and a finite mixture model for proportions. Publication bias was investigated with the linear regression test (Egger’s method). A meta-regression was conducted by the year of publication. Eight eligible studies, contributing data on 675 subjects, were included in this meta-analysis. For CTS, a pooled prevalence of 15.5% and 95% CI (95% CI 0.043, 0.318) were obtained. Statistically publication bias was present (P value 0.143). A mixture model analysis found five latent classes. The meta-regression indicated that the estimated prevalence increased when the year of commencement increased, too. Within the decade (1957–1967), the odds ratio increased from 1 (95% CI 1.065, 1.112) to 2.340 (95% CI 1.886, 2.903). Despite some heterogeneity, there is a possible indication of an association between RS and patients with CTS.

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  1. Bickel KD (2010) Carpal tunnel syndrome. J Hand Surg Am 35(1):147–152. doi:10.1016/j.jhsa.2009.11.003

    PubMed  Article  Google Scholar 

  2. Atroshi I, Gummesson C, Johnsson R, Ornstein E, Ranstam J, Rosen I (1999) Prevalence of carpal tunnel syndrome in a general population. JAMA 282(2):153–158

    PubMed  Article  CAS  Google Scholar 

  3. Linscheid RL, Peterson LF, Juergens JL (1967) Carpal-tunnel syndrome associated with vasospasm. J Bone Joint Surg Am 49(6):1141–1146

    PubMed  CAS  Google Scholar 

  4. Waller DG, Dathan JR (1985) Raynaud’s syndrome and carpal tunnel syndrome. Postgrad Med J 61(712):161–162

    PubMed  Article  CAS  Google Scholar 

  5. Pal B, Keenan J, Misra HN, Moussa K, Morris J (1996) Raynaud’s phenomenon in idiopathic carpal tunnel syndrome. Scand J Rheumatol 25(3):143–145

    PubMed  Article  CAS  Google Scholar 

  6. Chung MS, Gong HS, Baek GH (1999) Prevalence of Raynaud’s phenomenon in patients with idiopathic carpal tunnel syndrome. J Bone Joint Surg Br 81(6):1017–1019

    PubMed  Article  CAS  Google Scholar 

  7. Block JA, Sequeira W (2001) Raynaud’s phenomenon. Lancet 357(9273):2042–2048. doi:10.1016/S0140-6736(00)05118-7

    PubMed  Article  CAS  Google Scholar 

  8. Heidrich H (2010) Functional vascular diseases: Raynaud’s syndrome, acrocyanosis and erythromelalgia. Vasa 39(1):33–41. doi:10.1024/0301-1526/a000003

    PubMed  Article  CAS  Google Scholar 

  9. Fraenkel L (2002) Raynaud’s phenomenon: epidemiology and risk factors. Curr Rheumatol Rep 4(2):123–128

    PubMed  Article  Google Scholar 

  10. Palmer K, Smith G, Kellingray S, Cooper C (1999) Repeatability and validity of an upper limb and neck discomfort questionnaire: the utility of the standardized Nordic questionnaire. Occup Med (Lond) 49(3):171–175

    Article  CAS  Google Scholar 

  11. Schwarzer G (2010) Meta: meta-analysis with R, 1.5-0 edn

  12. Axford AT, Gilchrist L (1971) Propranolol in the treatment of hypertension. Br J Clin Pract 25(7):326–328

    PubMed  CAS  Google Scholar 

  13. Higgins JP, Thompson SG (2002) Quantifying heterogeneity in a meta-analysis. Stat Med 21(11):1539–1558. doi:10.1002/sim.1186

    PubMed  Article  Google Scholar 

  14. Higgins JP, Thompson SG, Deeks JJ, Altman DG (2003) Measuring inconsistency in meta-analyses. BMJ 327(7414):557–560. doi:10.1136/bmj.327.7414.557

    PubMed  Article  Google Scholar 

  15. DerSimonian R, Laird N (1986) Meta-analysis in clinical trials. Control Clin Trials 7(3):177–188

    PubMed  Article  CAS  Google Scholar 

  16. Schlattmann P (2009) Medical applications of finite mixture models. Springer, Berlin

    Google Scholar 

  17. Galbraith RF (1988) Graphical display of estimates having differing standard errors. Technometrics 30(3):271–281

    Article  Google Scholar 

  18. Egger M, Davey Smith G, Schneider M, Minder C (1997) Bias in meta-analysis detected by a simple, graphical test. BMJ 315(7109):629–634

    PubMed  Article  CAS  Google Scholar 

  19. Thompson SG (2002) How should meta-regression analyses be undertaken and interpreted statistics in medicine 21(11):1559–1573

    Google Scholar 

  20. Lumley T (2009) rmeta: Meta-analysis, 2.16 edn

  21. Schlattmann P (2008) Finite Mixture models and metaanalysis tools—based on C.A.MAN, 0.64 edn

  22. Weinrich MC, Maricq HR, Keil JE, McGregor AR, Diat F (1990) Prevalence of Raynaud phenomenon in the adult population of South Carolina. J Clin Epidemiol 43(12):1343–1349

    PubMed  Article  CAS  Google Scholar 

  23. De Angelis R, Salaffi F, Grassi W (2006) Raynaud’s phenomenon: prevalence in an Italian population sample. Clin Rheumatol 25(4):506–510. doi:10.1007/s10067-005-0077-1

    PubMed  Article  Google Scholar 

  24. Suter LG, Murabito JM, Felson DT, Fraenkel L (2005) The incidence and natural history of Raynaud’s phenomenon in the community. Arthr Rheum 52(4):1259–1263. doi:10.1002/art.20988

    Article  Google Scholar 

  25. Maricq HR, Carpentier PH, Weinrich MC, Keil JE, Palesch Y, Biro C, Vionnet-Fuasset M, Jiguet M, Valter I (1997) Geographic variation in the prevalence of Raynaud’s phenomenon: a 5 region comparison. J Rheumatol 24(5):879–889

    PubMed  CAS  Google Scholar 

  26. Kendall D (1960) Aetiology, diagnosis, and treatment of paraesthesiae in the hands. Br Med J 2(5213):1633–1640

    PubMed  Article  CAS  Google Scholar 

  27. Porter JM, Snider RL, Bardana EJ, Rosch J, Eidemiller LR (1975) The diagnosis and treatment of Raynaud’s phenomenon. Surgery 77(1):11–23

    PubMed  CAS  Google Scholar 

  28. Calgüneri M, Ureten K, Akif Ozturk M, Onat AM, Ertenli I, Kiraz S, Akdogan A (2006) Extra-articular manifestations of rheumatoid arthritis: results of a university hospital of 526 patients in Turkey. Clin Exp Rheumatol 24(3):305–308

    PubMed  Google Scholar 

  29. Garland H, Bradshaw JP, Clark JM (1957) Compression of median nerve in carpal tunnel and its relation to acroparaesthesiae. Br Med J 1(5021):730–734

    PubMed  Article  CAS  Google Scholar 

  30. Schwarz A, Keller F, Seyfert S, Poll W, Molzahn M, Distler A (1984) Carpal tunnel syndrome, a late complication in chronic hemodialysis. Dtsch Med Wochenschr 109(8):285–289. doi:10.1055/s-2008-1069181

    PubMed  Article  CAS  Google Scholar 

  31. Serra G, Migliore A, Tugnoli V (1985) Reynaud’s phenomenon and entrapment neuropathies. Ann Neurol 18(4):519. doi:10.1002/ana.410180419

    Google Scholar 

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Hartmann, P., Mohokum, M. & Schlattmann, P. The association of Raynaud’s syndrome with carpal tunnel syndrome: a meta-analysis. Rheumatol Int 32, 569–574 (2012).

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  • Raynaud’s syndrome
  • Raynaud’s phenomenon
  • Carpal tunnel syndrome
  • Carpal canal syndrome
  • Meta-analysis
  • Prevalence