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Cardiovascular risk assessment scores for people with diabetes: a systematic review

Overview of attention for article published in Diabetologia, July 2009
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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 (82nd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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1 policy source
twitter
1 X user
patent
1 patent

Citations

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143 Dimensions

Readers on

mendeley
161 Mendeley
citeulike
2 CiteULike
connotea
1 Connotea
Title
Cardiovascular risk assessment scores for people with diabetes: a systematic review
Published in
Diabetologia, July 2009
DOI 10.1007/s00125-009-1454-0
Pubmed ID
Authors

P. Chamnan, R. K. Simmons, S. J. Sharp, S. J. Griffin, N. J. Wareham

Abstract

People with type 2 diabetes have an increased risk of cardiovascular disease (CVD). Multivariate cardiovascular risk scores have been used in many countries to identify individuals who are at high risk of CVD. These risk scores include those originally developed in individuals with diabetes and those developed in a general population. This article reviews the published evidence for the performance of CVD risk scores in diabetic patients by: (1) examining the overall rationale for using risk scores; (2) systematically reviewing the literature on available scores; and (3) exploring methodological issues surrounding the development, validation and comparison of risk scores. The predictive performance of cardiovascular risk scores varies substantially between different populations. There is little evidence to suggest that risk scores developed in individuals with diabetes estimate cardiovascular risk more accurately than those developed in the general population. The inconsistency in the methods used in evaluation studies makes it difficult to compare and summarise the predictive ability of risk scores. Overall, CVD risk scores rank individuals reasonably accurately and are therefore useful in the management of diabetes with regard to targeting therapy to patients at highest risk. However, due to the uncertainty in estimation of true risk, care is needed when using scores to communicate absolute CVD risk to individuals.

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 161 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 1 <1%
Brazil 1 <1%
United Kingdom 1 <1%
New Zealand 1 <1%
Spain 1 <1%
Unknown 156 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 14%
Researcher 22 14%
Student > Master 21 13%
Student > Postgraduate 14 9%
Student > Doctoral Student 14 9%
Other 40 25%
Unknown 27 17%
Readers by discipline Count As %
Medicine and Dentistry 89 55%
Nursing and Health Professions 8 5%
Social Sciences 5 3%
Computer Science 4 2%
Agricultural and Biological Sciences 3 2%
Other 17 11%
Unknown 35 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 03 November 2020.
All research outputs
#4,510,800
of 22,776,824 outputs
Outputs from Diabetologia
#1,916
of 5,034 outputs
Outputs of similar age
#19,403
of 110,461 outputs
Outputs of similar age from Diabetologia
#23
of 48 outputs
Altmetric has tracked 22,776,824 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,034 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.6. This one has gotten more attention than average, scoring higher than 61% 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 110,461 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 48 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 50% of its contemporaries.