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Autoantibodies and Sjogren’s Syndrome in Multiple Sclerosis, a Reappraisal

Overview of attention for article published in PLOS ONE, June 2013
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Title
Autoantibodies and Sjogren’s Syndrome in Multiple Sclerosis, a Reappraisal
Published in
PLOS ONE, June 2013
DOI 10.1371/journal.pone.0065385
Pubmed ID
Authors

Andrew J. Solomon, William Hills, Zunqiu Chen, James Rosenbaum, Dennis Bourdette, Ruth Whitham

Abstract

Rheumatologic diseases may cause neurologic disorders that mimic multiple sclerosis (MS). A panel of serum autoantibodies is often obtained as part of the evaluation of patients suspected of having MS. To determine, in light of recently revised diagnostic criteria for MS, neuromyelitis optica, and Sjogren's Syndrome, if testing for autoantibodies in patients with a confirmed diagnosis of MS would reveal a frequency or demonstrate a clinical utility divergent from previous reports or lead to identification of undiagnosed cases of Sjogren's Syndrome. Convenience sample cross-sectional study of MS patients recruited from the OHSU Multiple Sclerosis Center. Autoantibodies were detected in 38% (35/91) of patients with MS and were not significantly associated with disease characteristics or severity. While four patients had SSA antibodies, none met diagnostic criteria for Sjogren's Syndrome. Rheumatologic autoantibodies are frequently found in MS patients and are not associated with disease severity or systemic rheumatologic disease. Our demonstration of the low specificity of these autoantibodies suggests that the diagnostic utility and cost-effectiveness of testing is not supported when there is strong clinical suspicion of MS and low clinical suspicion of rheumatologic disease.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Korea, Republic of 1 2%
Turkey 1 2%
Unknown 44 96%

Demographic breakdown

Readers by professional status Count As %
Other 6 13%
Student > Master 6 13%
Researcher 5 11%
Professor 5 11%
Professor > Associate Professor 5 11%
Other 13 28%
Unknown 6 13%
Readers by discipline Count As %
Medicine and Dentistry 19 41%
Agricultural and Biological Sciences 6 13%
Neuroscience 5 11%
Immunology and Microbiology 3 7%
Economics, Econometrics and Finance 2 4%
Other 4 9%
Unknown 7 15%