scholarly journals Sjögren's syndrome with nodular pulmonary amyloidosis

2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Chang‐Wei Wu ◽  
Ying‐Chun Chien
Keyword(s):  
Sjögren’S Syndrome ◽  
Sjögren's Syndrome ◽  
Sjogren’S Syndrome ◽  
Sjogren's Syndrome ◽  
Pulmonary Amyloidosis ◽  
Sjögren‘S Syndrome

scholarly journals Nodular Pulmonary Amyloidosis Associated with Sjögren's Syndrome

2021 ◽  
Author(s):  
Yoshiaki Kinoshita ◽  
Takato Ikeda ◽  
Takuto Miyamura ◽  
Yusuke Ueda ◽  
Yuji Yoshida ◽  
...  
Keyword(s):  
Sjögren’S Syndrome ◽  
Sjögren's Syndrome ◽  
Sjogren’S Syndrome ◽  
Sjogren's Syndrome ◽  
Pulmonary Amyloidosis ◽  
Sjögren‘S Syndrome

scholarly journals Lymphocytic interstitial pneumonia and pulmonary amyloidosis in Sjögren's syndrome

2019 ◽  
Vol 52 (6) ◽  
pp. 410-411 ◽  
Author(s):  
Eurípedes Barsanulfo de Paula Avelino ◽  
Leonardo Verza ◽  
Tércia Neves ◽  
Rubens Chojniak ◽  
Marcos Duarte Guimarães
Keyword(s):  
Sjögren’S Syndrome ◽  
Interstitial Pneumonia ◽  
Sjögren's Syndrome ◽  
Sjogren’S Syndrome ◽  
Sjogren's Syndrome ◽  
Lymphocytic Interstitial Pneumonia ◽  
Pulmonary Amyloidosis ◽  
Sjögren‘S Syndrome

The association of Raynaud’s phenomenon/syndrome with scleroderma and Sjögren’s syndrome – a meta-analysis

VASA ◽  
2008 ◽  
Vol 37 (Supplement 73) ◽  
pp. 26-32 ◽  
Author(s):  
Schlattmann ◽  
Höhne ◽  
Plümper ◽  
Heidrich
Keyword(s):  
Quantitative Analysis ◽  
Sjögren’S Syndrome ◽  
Mixture Model ◽  
Sjögren's Syndrome ◽  
Meta Analysis ◽  
Sjogren’S Syndrome ◽  
Sjogren's Syndrome ◽  
Raynaud’S Syndrome ◽  
Raynaud's Syndrome ◽  
Sjögren‘S Syndrome

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.

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