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Discerning Risk of Disease Transition in Relatives of Systemic Lupus Erythematosus Patients Utilizing Soluble Mediators and Clinical Features

Overview of attention for article published in Arthritis & Rheumatology, February 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

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4 news outlets
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12 X users
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1 patent
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2 Facebook pages

Citations

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54 Dimensions

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35 Mendeley
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Title
Discerning Risk of Disease Transition in Relatives of Systemic Lupus Erythematosus Patients Utilizing Soluble Mediators and Clinical Features
Published in
Arthritis & Rheumatology, February 2017
DOI 10.1002/art.40004
Pubmed ID
Authors

Melissa E. Munroe, Kendra A. Young, Diane L. Kamen, Joel M. Guthridge, Timothy B. Niewold, Karen H. Costenbader, Michael H. Weisman, Mariko L. Ishimori, Daniel J. Wallace, Gary S. Gilkeson, David R. Karp, John B. Harley, Jill M. Norris, Judith A. James

Abstract

Systemic lupus erythematosus (SLE) and other autoimmune diseases cause significant morbidity. Identifying populations at risk of developing SLE is essential to curtail irreversible inflammatory damage. The objective of this study was to identify factors associated with transition to classified disease that inform SLE risk. Previously identified lupus patient blood relatives with < 4 American College of Rheumatology SLE classification criteria at baseline (n=409) were enrolled in this follow-up study. Participants provided detailed family, demographic, and clinical information, including the SLE-specific portion of the Connective Tissue Disease Screening Questionnaire (SLE-CSQ). Plasma samples were tested for the presence of lupus-associated autoantibodies and 52 soluble mediators. Generalized estimating equations (GEE) were applied to identify factors anticipating disease transition. Forty-five relatives (11%) transitioned to classified SLE during follow-up (mean time=6.4 years). Relatives who transitioned displayed more lupus-associated autoantibody specificities and higher SLE-CSQ scores (p<0.0001) at baseline than non-transitioned relatives. Importantly, they also had elevated baseline plasma levels of inflammatory mediators, including B-lymphocyte stimulator (BLyS), stem cell factor (SCF), and interferon-associated chemokines (p≤0.02), with concurrent decreases in levels of regulatory mediators, tumor growth factor (TGF)-β and interleukin (IL)-10 (p≤0.03). GEE revealed that baseline SLE-CSQ or ACR scores and plasma levels of SCF and TGF-β (p≤0.03), but not autoantibodies, were significant and independent predictors of SLE transition. Altered levels of soluble mediators anticipate transition to classified disease in lupus relatives. Thus, immune perturbations precede SLE classification and can help identify high-risk relatives for rheumatology referral and potential enrollment in prevention trials. This article is protected by copyright. All rights reserved.

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 11%
Other 3 9%
Student > Doctoral Student 2 6%
Student > Bachelor 2 6%
Lecturer 2 6%
Other 8 23%
Unknown 14 40%
Readers by discipline Count As %
Medicine and Dentistry 9 26%
Immunology and Microbiology 5 14%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Biochemistry, Genetics and Molecular Biology 1 3%
Mathematics 1 3%
Other 2 6%
Unknown 16 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 38. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 August 2022.
All research outputs
#1,028,351
of 24,647,023 outputs
Outputs from Arthritis & Rheumatology
#350
of 2,975 outputs
Outputs of similar age
#21,376
of 316,749 outputs
Outputs of similar age from Arthritis & Rheumatology
#10
of 81 outputs
Altmetric has tracked 24,647,023 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,975 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.8. This one has done well, scoring higher than 88% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 316,749 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 81 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.