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Including measures of chronic kidney disease to improve cardiovascular risk prediction by SCORE2 and SCORE2-OP

Overview of attention for article published in European Journal of Preventive Cardiology, August 2022
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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 (90th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

news
1 news outlet
twitter
2 X users
guideline
3 clinical guideline sources

Readers on

mendeley
71 Mendeley
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Article details
Title
Including measures of chronic kidney disease to improve cardiovascular risk prediction by SCORE2 and SCORE2-OP
Published in
European Journal of Preventive Cardiology, August 2022
DOI 10.1093/eurjpc/zwac176
Pubmed ID
Authors
Abstract

The 2021 ESC guideline on cardiovascular disease (CVD) prevention categorizes moderate and severe chronic kidney disease (CKD) as high and very-high CVD risk status regardless of other factors like age and does not include estimated glomerular filtration rate (eGFR) and albuminuria in its algorithms, SCORE2 and SCORE2-OP, to predict CVD risk. We developed and validated an "Add-on" to incorporate CKD measures into these algorithms, using a validated approach. In 3,054,840 participants from 34 datasets, we developed three Add-ons (eGFR only, eGFR + urinary albumin-to-creatinine ratio [ACR] [the primary Add-on], and eGFR + dipstick proteinuria) for SCORE2 and SCORE2-OP. We validated c-statistics and net reclassification improvement (NRI), accounting for competing risk of non-CVD death, in 5,997,719 participants from 34 different datasets. In the target population of SCORE2 and SCORE2-OP without diabetes, the CKD Add-on (eGFR only) and CKD Add-on (eGFR + ACR) improved c-statistic by 0.006 (95%CI 0.004-0.008) and 0.016 (0.010-0.023), respectively, for SCORE2 and 0.012 (0.009-0.015) and 0.024 (0.014-0.035), respectively, for SCORE2-OP. Similar results were seen when we included individuals with diabetes and tested the CKD Add-on (eGFR + dipstick). In 57,485 European participants with CKD, SCORE2 or SCORE2-OP with a CKD Add-on showed a significant NRI (e.g., 0.100 [0.062-0.138] for SCORE2) compared to the qualitative approach in the ESC guideline. Our Add-ons with CKD measures improved CVD risk prediction beyond SCORE2 and SCORE2-OP. This approach will help clinicians and patients with CKD refine risk prediction and further personalize preventive therapies for CVD.

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X Demographics

The data shown below were collected from the profiles of 2 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 71 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 %
Unknown 71 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 8 11%
Student > Ph. D. Student 5 7%
Student > Bachelor 2 3%
Student > Master 2 3%
Professor > Associate Professor 2 3%
Other 4 6%
Unknown 48 68%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 12 17%
Biochemistry, Genetics and Molecular Biology 3 4%
Unspecified 1 1%
Mathematics 1 1%
Nursing and Health Professions 1 1%
Other 3 4%
Unknown 50 70%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 24 January 2025.
All research outputs
#2,206,356
of 29,400,575 outputs
Outputs from European Journal of Preventive Cardiology
#643
of 3,453 outputs
Outputs of similar age
#41,733
of 427,500 outputs
Outputs of similar age from European Journal of Preventive Cardiology
#16
of 67 outputs
Altmetric has tracked 29,400,575 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,453 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 33.3. This one has done well, scoring higher than 81% 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 427,500 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 90% of its contemporaries.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.