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The association of Raynaud's phenomenon/syndrome with scleroderma and Sjögren's syndrome - a meta-analysis.
MedLine Citation:
PMID:  19003758     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
Background: In order to analyze the prevalence of Raynaud's syndrome in diseases such as scleroderma and Sjögren's syndrom - a meta-analysis of published data was performed. Methods: The PubMed data base of the National Library of Medicine was used for studies dealing with Raynaud's syndrome and scleroderma or Raynaud's syndroem and Sjögren's syndrom respectively. The studies found provided data sufficient to estimate the prevalence of Raynaud's syndrome. The statistical analysis was based on methods for a fixed effects meta-analysis and finite mixture model for proportions. Results: For scleroderma a pooled prevalence of 80.9% and 95% CI (0.78, 0.83) was obtained. A mixture model analysis found four latent classes. We identified a class with a very low prevalence of 11%, weighted with 0.15. On the other hand there is a class with a very high prevalence of 96%. Analysing the association with Sjögren's syndrome, the pooled analysis leads to a prevalence of Raynaud's syndrome of 32%, 95% CI(26.7%, 37.7%). A mixture model finds a solution with two latent classes. Here, 38% of the studies show a prevalence of 18.8% whereas 62% observe a prevalence of 38.3%. Conclusion: There is strong variability of studies reporting the prevalence of Raynaud's syndrome in patients suffering from scleroderma or Sjögren's syndrome. The available data are insufficient to perform a proper quantitative analysis of the association of Raynaud's phenomenon with scleroderma or Sjögren's syndrome. Properly planned and reported epidemiological studies are needed in order to perform a thorough quantitative analysis of risk factors for Raynaud's syndrome.
Authors:
P Schlattmann; J Höhne; M Plümper; H Heidrich
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  VASA. Zeitschrift für Gefässkrankheiten. Journal for vascular diseases     Volume:  37 Suppl 73     ISSN:  0301-1526     ISO Abbreviation:  VASA     Publication Date:  2008 Nov 
Date Detail:
Created Date:  2008-11-12     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0317051     Medline TA:  Vasa     Country:  Switzerland    
Other Details:
Languages:  eng     Pagination:  26-32     Citation Subset:  IM    
Affiliation:
Department of Biostatistics and Clinical Epidemiology, Charité - Universitätsmedizin Berlin.
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