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The FAt Spondyloarthritis Spine Score (FASSS): development and validation of a new scoring method for the evaluation of fat lesions in the spine of patients with axial spondyloarthritis

Overview of attention for article published in Arthritis Research & Therapy, December 2013
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Title
The FAt Spondyloarthritis Spine Score (FASSS): development and validation of a new scoring method for the evaluation of fat lesions in the spine of patients with axial spondyloarthritis
Published in
Arthritis Research & Therapy, December 2013
DOI 10.1186/ar4411
Pubmed ID
Authors

Susanne Juhl Pedersen, Zheng Zhao, Robert GW Lambert, Stephanie Wichuk, Mikkel Østergaard, Ulrich Weber, Walter P Maksymowych

Abstract

Studies have shown that fat lesions follow resolution of inflammation in the spine of patients with axial spondyloarthritis (SpA). Fat lesions at vertebral corners have also been shown to predict development of new syndesmophytes. Therefore, scoring of fat lesions in the spine may constitute both an important measure of treatment efficacy as well as a surrogate marker for new bone formation. The aim of this study was to develop and validate a new scoring method for fat lesions in the spine, the Fat SpA Spine Score (FASSS), which in contrast to the existing scoring method addresses the localization and phenotypic diversity of fat lesions in patients with axial SpA.

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Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Germany 1 2%
Unknown 43 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 13%
Student > Doctoral Student 6 13%
Student > Master 5 11%
Other 5 11%
Student > Ph. D. Student 3 7%
Other 9 20%
Unknown 11 24%
Readers by discipline Count As %
Medicine and Dentistry 20 44%
Nursing and Health Professions 5 11%
Social Sciences 3 7%
Biochemistry, Genetics and Molecular Biology 1 2%
Psychology 1 2%
Other 2 4%
Unknown 13 29%