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Predictors of arthritis in pediatric patients with lupus

Overview of attention for article published in Pediatric Rheumatology, July 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

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1 news outlet
twitter
6 X users
facebook
1 Facebook page
googleplus
1 Google+ user
reddit
1 Redditor

Citations

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5 Dimensions

Readers on

mendeley
32 Mendeley
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Title
Predictors of arthritis in pediatric patients with lupus
Published in
Pediatric Rheumatology, July 2015
DOI 10.1186/s12969-015-0027-7
Pubmed ID
Authors

SD Sule, DG Moodalbail, J Burnham, B Fivush, SL Furth

Abstract

Arthritis is one of the most common manifestations of systemic lupus erythematosus (SLE). Although typically non-erosive and non-deforming, children with SLE arthritis can have significant morbidity with decreased quality of life. Our goal was to identify potential clinical and laboratory predictors of arthritis in a cohort of pediatric patients with SLE. We performed a cohort study of incident and prevalent patients with SLE aged ≤ 19 years. In cross sectional analysis, we compared demographic and clinical characteristics at initial clinic presentation between patients with arthritis noted at any time during follow-up and those without arthritis. We performed time to event analysis using Cox proportional hazard ratios to identify predictors of arthritis, clustering for repeated measures. Forty seven children and adolescents with SLE were followed in the cohort, 91 % female and 68 % Black. In cross-sectional analyses, presence of malar rash was associated with arthritis. In longitudinal analyses, controlling for gender and race, increased age (HR: 1.4, 95 % CI: 1.1-1.7), malar rash (HR: 2.1, 95 % CI: 1.1-3.6), and presence of RNP antibodies (HR: 1.9, 95 % CI: 1.1-3.4) were predictive of arthritis. When controlling for gender, race, and medication use, anemia (HR: 8.5, 95 % CI: 2.9-24.2) and thrombocytopenia (HR: 6.1, 95 % CI: 2.4-15.6) were associated with increased risk of arthritis. We identified markers predictive of arthritis in a longitudinal cohort of children with SLE. The recognition of these markers may help clinicians identify patients at risk for arthritis before its onset thus improving quality of life in children with SLE.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 13%
Other 4 13%
Student > Doctoral Student 3 9%
Student > Master 3 9%
Student > Postgraduate 3 9%
Other 8 25%
Unknown 7 22%
Readers by discipline Count As %
Medicine and Dentistry 19 59%
Nursing and Health Professions 1 3%
Biochemistry, Genetics and Molecular Biology 1 3%
Materials Science 1 3%
Engineering 1 3%
Other 0 0%
Unknown 9 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 October 2015.
All research outputs
#2,130,554
of 22,816,807 outputs
Outputs from Pediatric Rheumatology
#59
of 695 outputs
Outputs of similar age
#28,822
of 262,658 outputs
Outputs of similar age from Pediatric Rheumatology
#2
of 15 outputs
Altmetric has tracked 22,816,807 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 695 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done particularly well, scoring higher than 91% 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 262,658 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.