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Detection of Rheumatoid Arthritis–Interstitial Lung Disease Is Enhanced by Serum Biomarkers

Overview of attention for article published in American Journal of Respiratory & Critical Care Medicine, June 2015
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
22 news outlets
blogs
1 blog
policy
1 policy source
twitter
22 X users
facebook
3 Facebook pages

Readers on

mendeley
149 Mendeley
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Article details
Title
Detection of Rheumatoid Arthritis–Interstitial Lung Disease Is Enhanced by Serum Biomarkers
Published in
American Journal of Respiratory & Critical Care Medicine, June 2015
DOI 10.1164/rccm.201411-1950oc
Pubmed ID
Authors
Abstract

Interstitial lung disease (ILD), a leading cause of morbidity and mortality in rheumatoid arthritis (RA), is highly prevalent, yet RA-ILD is under-recognized. To identify clinical risk factors, autoantibodies, and biomarkers associated with the presence of RA-ILD. Subjects enrolled in BRASS and ACR cohorts were evaluated for ILD. Regression models were used to assess the association between variables of interest and RA-ILD. Receiver operating characteristic curves were generated in BRASS to determine if a combination of clinical risk factors and autoantibodies can identify RA-ILD and if the addition of investigational biomarkers is informative. This combinatorial signature was subsequently tested in ACR. 113 BRASS subjects with clinically-indicated chest CT scans (41% with a spectrum of clinically-evident and subclinical RA-ILD) and 76 ACR subjects with research or clinical scans (51% with a spectrum of RA-ILD) were selected. A combination of age, gender, smoking, rheumatoid factor, and anti-cyclic citrullinated peptide antibodies was strongly associated with RA-ILD (AUCs 0.88/BRASS and 0.89/ACR). Importantly a combinatorial signature including MMP7, PARC, and SP-D significantly increased the AUCs to 0.97 (p=0.002/BRASS) and 1.00 (p=0.016/ACR). Similar trends were seen for both clinically-evident and subclinical RA-ILD. Clinical risk factors and autoantibodies are strongly associated with the presence of clinically-evident and subclinical RA-ILD on CT scan in two independent RA cohorts. A biomarker signature composed of MMP7, PARC, and SP-D significantly strengthens this association. These findings may facilitate identification of RA-ILD at an earlier stage, potentially leading to decreased morbidity and mortality.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 22 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 149 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 <1%
Korea, Republic of 1 <1%
Spain 1 <1%
Unknown 146 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Other 18 12%
Researcher 17 11%
Student > Master 13 9%
Student > Postgraduate 12 8%
Student > Ph. D. Student 10 7%
Other 30 20%
Unknown 49 33%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 59 40%
Biochemistry, Genetics and Molecular Biology 9 6%
Nursing and Health Professions 4 3%
Immunology and Microbiology 4 3%
Agricultural and Biological Sciences 3 2%
Other 15 10%
Unknown 55 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 198. 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 06 February 2021.
All research outputs
#251,282
of 34,400,738 outputs
Outputs from American Journal of Respiratory & Critical Care Medicine
#175
of 15,139 outputs
Outputs of similar age
#2,103
of 303,741 outputs
Outputs of similar age from American Journal of Respiratory & Critical Care Medicine
#5
of 154 outputs
Altmetric has tracked 34,400,738 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 15,139 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.0. This one has done particularly well, scoring higher than 98% 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 303,741 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 99% of its contemporaries.
We're also able to compare this research output to 154 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.