↓ Skip to main content

Usefulness of Risk Scores to Estimate the Risk of Cardiovascular Disease in Patients With Rheumatoid Arthritis

Overview of attention for article published in American Journal of Cardiology, April 2012
Altmetric Badge

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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

news
2 news outlets
twitter
1 X user

Citations

dimensions_citation
220 Dimensions

Readers on

mendeley
111 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Usefulness of Risk Scores to Estimate the Risk of Cardiovascular Disease in Patients With Rheumatoid Arthritis
Published in
American Journal of Cardiology, April 2012
DOI 10.1016/j.amjcard.2012.03.044
Pubmed ID
Authors

Cynthia S. Crowson, Eric L. Matteson, Veronique L. Roger, Terry M. Therneau, Sherine E. Gabriel

Abstract

Patients with rheumatoid arthritis (RA) have an excess burden of cardiovascular (CV) disease (CVD). CV risk scores for the general population may not accurately predict CV risk for patients with RA. A population-based inception cohort of patients who fulfilled 1987 American College of Rheumatology criteria for RA from 1988 to 2007 was followed until death, migration, or December 31, 2008. CV risk factors and CVD (myocardial infarction, CV death, angina, stroke, intermittent claudication, and heart failure) were ascertained by medical record review. Ten-year predicted CVD risk was calculated using the general Framingham and the Reynolds risk scores. Standardized incidence ratios were calculated to compare observed and predicted CVD risks. The study included 525 patients with RA aged ≥30 years without previous CVD. The mean follow-up period was 8.4 years, during which 84 patients developed CVD. The observed CVD risk was 2-fold higher than the Framingham risk score predicted in women and 65% higher in men, and the Reynolds risk score revealed similar deficits. Patients aged ≥75 years had observed CVD risk >3 times the Framingham-predicted risk. Patients with positive rheumatoid factor or persistently elevated erythrocyte sedimentation rates also experienced more CVD events than predicted. In conclusion, the Framingham and Reynolds risk scores substantially underestimated CVD risk in patients with RA of both genders, especially in older ages and in patients with positive rheumatoid factor. These data underscore the need for more accurate tools to predict CVD risk in patients with RA.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 <1%
Switzerland 1 <1%
Brazil 1 <1%
United Kingdom 1 <1%
Romania 1 <1%
United States 1 <1%
Unknown 105 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 14%
Researcher 15 14%
Student > Bachelor 11 10%
Student > Doctoral Student 10 9%
Student > Postgraduate 10 9%
Other 27 24%
Unknown 22 20%
Readers by discipline Count As %
Medicine and Dentistry 54 49%
Nursing and Health Professions 5 5%
Biochemistry, Genetics and Molecular Biology 4 4%
Neuroscience 4 4%
Engineering 4 4%
Other 12 11%
Unknown 28 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 14 November 2014.
All research outputs
#2,149,511
of 25,394,764 outputs
Outputs from American Journal of Cardiology
#659
of 10,186 outputs
Outputs of similar age
#12,445
of 173,988 outputs
Outputs of similar age from American Journal of Cardiology
#10
of 117 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,186 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has done particularly well, scoring higher than 93% 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 173,988 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 92% of its contemporaries.
We're also able to compare this research output to 117 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 90% of its contemporaries.