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Rheumatoid arthritis-specific cardiovascular risk scores are not superior to general risk scores: a validation analysis of patients from seven countries.

Overview of attention for article published in Rheumatology, March 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

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2 policy sources
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Citations

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104 Dimensions

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126 Mendeley
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Title
Rheumatoid arthritis-specific cardiovascular risk scores are not superior to general risk scores: a validation analysis of patients from seven countries.
Published in
Rheumatology, March 2017
DOI 10.1093/rheumatology/kex038
Pubmed ID
Authors

Cynthia S Crowson, Sherine E Gabriel, Anne Grete Semb, Piet L C M van Riel, George Karpouzas, Patrick H Dessein, Carol Hitchon, Virginia Pascual-Ramos, George D Kitas, Karen Douglas, Aamer Sandoo, Silvia Rollefstad, Eirik Ikdahl, Tore K Kvien, Elke Arts, Jaap Fransen, Linda Tsang, Hani El-Gabalawy, Irazú Contreras Yáñez, Eric L Matteson, Solbritt Rantapää-Dahlqvist, Solveig Wållberg-Jonsson, Lena Innala, Petros P Sfikakis, Evi Zampeli, Miguel A Gonzalez-Gay, Alfonso Corrales, Mart van de Laar, Harald Vonkeman, Inger Meek, Elaine Husni, Robert Overman, Iris Colunga, Dionicio Galarza

Abstract

Cardiovascular disease (CVD) risk calculators developed for the general population do not accurately predict CVD events in patients with RA. We sought to externally validate risk calculators recommended for use in patients with RA including the EULAR 1.5 multiplier, the Expanded Cardiovascular Risk Prediction Score for RA (ERS-RA) and QRISK2. Seven RA cohorts from UK, Norway, Netherlands, USA, South Africa, Canada and Mexico were combined. Data on baseline CVD risk factors, RA characteristics and CVD outcomes (including myocardial infarction, ischaemic stroke and cardiovascular death) were collected using standardized definitions. Performance of QRISK2, EULAR multiplier and ERS-RA was compared with other risk calculators [American College of Cardiology/American Heart Association (ACC/AHA), Framingham Adult Treatment Panel III Framingham risk score-Adult Treatment Panel (FRS-ATP) and Reynolds Risk Score] using c-statistics and net reclassification index. Among 1796 RA patients without prior CVD [mean ( s . d .) age: 54.0 (14.0) years, 74% female], 100 developed CVD events during a mean follow-up of 6.9 years (12430 person-years). Estimated CVD risk by ERS-RA [mean ( s . d .) 8.8% (9.8%)] was comparable to FRS-ATP [mean ( s . d .) 9.1% (8.3%)] and Reynolds [mean ( s . d .) 9.2% (12.2%)], but lower than ACC/AHA [mean ( s . d .) 9.8% (12.1%)]. QRISK2 substantially overestimated risk [mean ( s . d .) 15.5% (13.9%)]. Discrimination was not improved for ERS-RA (c-statistic = 0.69), QRISK2 or EULAR multiplier applied to ACC/AHA compared with ACC/AHA (c-statistic = 0.72 for all) or for FRS-ATP (c-statistic = 0.75). The net reclassification index for ERS-RA was low (-0.8% vs ACC/AHA and 2.3% vs FRS-ATP). The QRISK2, EULAR multiplier and ERS-RA algorithms did not predict CVD risk more accurately in patients with RA than CVD risk calculators developed for the general population.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 126 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 126 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 16%
Other 12 10%
Student > Ph. D. Student 12 10%
Student > Master 11 9%
Student > Doctoral Student 8 6%
Other 25 20%
Unknown 38 30%
Readers by discipline Count As %
Medicine and Dentistry 55 44%
Nursing and Health Professions 7 6%
Social Sciences 5 4%
Engineering 4 3%
Immunology and Microbiology 3 2%
Other 12 10%
Unknown 40 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 25 June 2019.
All research outputs
#3,173,434
of 25,728,855 outputs
Outputs from Rheumatology
#1,297
of 7,472 outputs
Outputs of similar age
#55,253
of 322,061 outputs
Outputs of similar age from Rheumatology
#19
of 92 outputs
Altmetric has tracked 25,728,855 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,472 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.9. This one has done well, scoring higher than 82% 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 322,061 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 82% of its contemporaries.
We're also able to compare this research output to 92 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.