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A six question screen to facilitate primary cardiovascular disease prevention

Overview of attention for article published in BMC Cardiovascular Disorders, October 2015
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2 tweeters

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2 Dimensions

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Title
A six question screen to facilitate primary cardiovascular disease prevention
Published in
BMC Cardiovascular Disorders, October 2015
DOI 10.1186/s12872-015-0131-0
Pubmed ID
Authors

Niels V. van der Hoeven, Maurice A. J. Niessen, Erik S. G. Stroes, Lex Burdorf, Roderik A. Kraaijenhagen, Bert-Jan H. van den Born

Abstract

European guidelines on primary prevention of cardiovascular disease (CVD) recommend the SCORE risk charts for determining CVD risk, which include blood pressure and serum cholesterol as risk parameters. To facilitate cost-effective large-scale screening, we aimed to construct a risk score with 'non-invasive' parameters as a first screening step to identify persons at increased CVD risk requiring further risk assessment. We used data of Dutch employees from 25 organisations participating in a health risk assessment between August 2007 and January 2013. Backward multivariate logistic regression analysis was employed to select non-invasive, independent predictors of high CVD risk, defined as the 10-year risk of fatal CVD of ≥5 % based on the SCORE formula. The total CVD risk score was calculated as the summed coefficients of the retained variables. Data of 6189 male participants was used for the development and validation of the risk score. Age, tobacco use, history of hypertension, alcohol consumption, BMI, and waist circumference were independent predictors of high CVD risk. Ten-fold cross-validation resulted in an area under the curve of 0.95 (SE 0.01, 95 % confidence interval 0.94-0.96). A cut-off score ≥45 on the CVD risk score yielded a sensitivity of 0.93, and a specificity of 0.85. We developed a simple, non-invasive risk score that accurately identifies persons at increased CVD risk according to the SCORE formula in a population of working men. The risk score enables a stepwise approach in large screening programmes, strongly reducing the number of persons that require full risk estimation including blood pressure and cholesterol measures.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 7 24%
Researcher 5 17%
Other 3 10%
Student > Master 3 10%
Lecturer 2 7%
Other 4 14%
Unknown 5 17%
Readers by discipline Count As %
Medicine and Dentistry 8 28%
Social Sciences 2 7%
Agricultural and Biological Sciences 2 7%
Economics, Econometrics and Finance 2 7%
Computer Science 1 3%
Other 6 21%
Unknown 8 28%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 15 June 2016.
All research outputs
#8,332,086
of 13,293,718 outputs
Outputs from BMC Cardiovascular Disorders
#444
of 840 outputs
Outputs of similar age
#143,768
of 265,413 outputs
Outputs of similar age from BMC Cardiovascular Disorders
#1
of 1 outputs
Altmetric has tracked 13,293,718 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 840 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 36th percentile – i.e., 36% of its peers scored the same or lower than it.
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 265,413 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them