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Quantifying the health benefits of chronic disease prevention: a fresh approach using cardiovascular disease as an example

Overview of attention for article published in European Journal of Epidemiology, July 2014
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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 (83rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

Mentioned by

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1 policy source
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9 X users
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1 Facebook page

Citations

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19 Dimensions

Readers on

mendeley
39 Mendeley
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1 CiteULike
Title
Quantifying the health benefits of chronic disease prevention: a fresh approach using cardiovascular disease as an example
Published in
European Journal of Epidemiology, July 2014
DOI 10.1007/s10654-014-9932-1
Pubmed ID
Authors

Nicholas J. Wald, Joan K. Morris

Abstract

Current methods of determining the proportion of people who benefit from a preventive intervention and the years of life gained can underestimate the former and overestimate the latter. We describe how to overcome these errors, using two examples relating to the prevention of myocardial infarction (MI) and stroke, one using a specified polypill daily from age 50 and another reducing salt intake in the population. Standard life table analysis was used to calculate the person-years of life gained without an MI or stroke, based on estimates of the incidence of these disorders in England and Wales. The proportion of individuals who benefit was taken as everyone who would, without treatment, have an MI or stroke (holistic model), rather than limiting the benefit to the proportion calculated from the relative risk reduction (reductionist model), as is current practice. Under the holistic model, 33 % of people who take the polypill from age 50 benefit, gaining, on average, 8 years of life without an MI or stroke (19 % and 14 years under the reductionist model). Estimates for reducing salt intake by 6 g/day are 33 % and 2.8 years respectively under the holistic model (6 % and 16 years under the reductionist model). In the prevention of disorders such as stroke by reducing exposure to causal factors such as blood pressure, the use of a holistic model corrects the underestimation of the proportion of people who benefit and the overestimation of their years of life gained associated with current methods.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Portugal 1 3%
Unknown 37 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 26%
Student > Master 7 18%
Professor 4 10%
Student > Bachelor 3 8%
Lecturer 3 8%
Other 7 18%
Unknown 5 13%
Readers by discipline Count As %
Medicine and Dentistry 16 41%
Psychology 5 13%
Biochemistry, Genetics and Molecular Biology 3 8%
Agricultural and Biological Sciences 3 8%
Economics, Econometrics and Finance 2 5%
Other 3 8%
Unknown 7 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 17 January 2018.
All research outputs
#3,899,171
of 22,760,687 outputs
Outputs from European Journal of Epidemiology
#480
of 1,618 outputs
Outputs of similar age
#38,809
of 229,485 outputs
Outputs of similar age from European Journal of Epidemiology
#10
of 24 outputs
Altmetric has tracked 22,760,687 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,618 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.5. This one has gotten more attention than average, scoring higher than 70% 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 229,485 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 83% of its contemporaries.
We're also able to compare this research output to 24 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 58% of its contemporaries.