↓ Skip to main content

Validation of a risk prediction tool for coronary heart disease in middle-aged women

Overview of attention for article published in BMC Women's Health, November 2015
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
39 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Validation of a risk prediction tool for coronary heart disease in middle-aged women
Published in
BMC Women's Health, November 2015
DOI 10.1186/s12905-015-0250-x
Pubmed ID
Authors

Katerina M. De Vito, Heather J. Baer, Hank Dart, Stephanie E. Chiuve, Eric B. Rimm, Graham A. Colditz

Abstract

Health risk appraisal tools may be useful for identifying individuals who would benefit from lifestyle changes and increased surveillance. We evaluated the validity of the Your Disease Risk tool (YDR) for estimating relative risk of coronary heart disease (CHD) among middle-aged women. We included 55,802 women in the Nurses' Health Study who completed a mailed questionnaire about risk factors in 1994 and had no history of heart disease at that time. Participants were followed through 2004 for the occurrence of CHD. We estimated each woman's 10-year relative risk of CHD using YDR, and we compared the estimated YDR relative risk category (ranging from "very much below average" to "very much above average") to the observed relative risk for each category using logistic regression. We also examined the discriminatory accuracy of YDR using concordance statistics (c-statistics). There were 1165 CHD events during the 10-year follow-up period. Compared to the "about average" category, the observed age-adjusted relative risk was 0.43 (95 % confidence interval: 0.33, 0.56) for the "very much below average" category and 2.48 (95 % confidence interval: 1.68, 3.67) for the "very much above average" category. The age-adjusted c-statistic for the model including the YDR relative risk category was 0.71 (95 % confidence interval: 0.69, 0.72). The model performed better in younger than older women. The YDR tool appears to have moderate validity for estimating 10-year relative risk of CHD in this population of middle-aged women. Further research should aim to improve the tool's performance and to examine its validity in other populations.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 %
China 1 3%
Unknown 38 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 21%
Researcher 5 13%
Other 4 10%
Student > Doctoral Student 3 8%
Student > Bachelor 3 8%
Other 6 15%
Unknown 10 26%
Readers by discipline Count As %
Medicine and Dentistry 11 28%
Nursing and Health Professions 5 13%
Biochemistry, Genetics and Molecular Biology 4 10%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Computer Science 1 3%
Other 4 10%
Unknown 12 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 16 November 2015.
All research outputs
#14,908,073
of 24,974,461 outputs
Outputs from BMC Women's Health
#1,245
of 2,226 outputs
Outputs of similar age
#140,726
of 289,135 outputs
Outputs of similar age from BMC Women's Health
#23
of 33 outputs
Altmetric has tracked 24,974,461 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,226 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one is in the 41st percentile – i.e., 41% 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 289,135 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.