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A policy model of cardiovascular disease in moderate-to-advanced chronic kidney disease

Overview of attention for article published in Heart, August 2017
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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 (87th percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

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2 policy sources
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18 X users
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1 Facebook page

Citations

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21 Dimensions

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74 Mendeley
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Title
A policy model of cardiovascular disease in moderate-to-advanced chronic kidney disease
Published in
Heart, August 2017
DOI 10.1136/heartjnl-2016-310970
Pubmed ID
Authors

Iryna Schlackow, Seamus Kent, William Herrington, Jonathan Emberson, Richard Haynes, Christina Reith, Christoph Wanner, Bengt Fellström, Alastair Gray, Martin J Landray, Colin Baigent, Borislava Mihaylova

Abstract

To present a long-term policy model of cardiovascular disease (CVD) in moderate-to-advanced chronic kidney disease (CKD). A Markov model with transitions between CKD stages (3B, 4, 5, on dialysis, with kidney transplant) and cardiovascular events (major atherosclerotic events, haemorrhagic stroke, vascular death) was developed with individualised CKD and CVD risks estimated using the 5 years' follow-up data of the 9270 patients with moderate-to-severe CKD in the Study of Heart and Renal Protection (SHARP) and multivariate parametric survival analysis. The model was assessed in three further CKD cohorts and compared with currently used risk scores. Higher age, previous cardiovascular events and advanced CKD were the main contributors to increased individual disease risks. CKD and CVD risks predicted by the state-transition model corresponded well to risks observed in SHARP and external cohorts. The model's predictions of vascular risk and progression to end-stage renal disease were better than, or comparable to, those produced by other risk scores. As an illustration, at age 60-69 years, projected survival for SHARP participants in CKD stage 3B was 13.5 years (10.6 quality-adjusted life years (QALYs)) in men and 14.8 years (10.7 QALYs) in women. Corresponding projections for participants on dialysis were 7.5 (5.6 QALYs) and 7.8 years (5.4 QALYs). A non-fatal major atherosclerotic event reduced life expectancy by about 2 years in stage 3B and by 1 year in dialysis. The SHARP CKD-CVD model is a novel resource for evaluating health outcomes and cost-effectiveness of interventions in CKD. NCT00125593 and ISRCTN54137607; Post-results.

X Demographics

X Demographics

The data shown below were collected from the profiles of 18 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 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 74 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 24%
Student > Master 10 14%
Student > Bachelor 7 9%
Student > Ph. D. Student 7 9%
Student > Postgraduate 6 8%
Other 11 15%
Unknown 15 20%
Readers by discipline Count As %
Medicine and Dentistry 27 36%
Pharmacology, Toxicology and Pharmaceutical Science 6 8%
Nursing and Health Professions 5 7%
Economics, Econometrics and Finance 3 4%
Social Sciences 3 4%
Other 11 15%
Unknown 19 26%
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 25 August 2021.
All research outputs
#2,050,925
of 24,362,308 outputs
Outputs from Heart
#1,150
of 5,995 outputs
Outputs of similar age
#39,570
of 321,045 outputs
Outputs of similar age from Heart
#44
of 124 outputs
Altmetric has tracked 24,362,308 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 5,995 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.5. This one has done well, scoring higher than 80% 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 321,045 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 87% of its contemporaries.
We're also able to compare this research output to 124 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.