↓ Skip to main content

Cardiovascular risk models for South Asian populations: a systematic review

Overview of attention for article published in International Journal of Public Health, September 2015
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)

Mentioned by

twitter
4 X users
facebook
1 Facebook page

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
36 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
Cardiovascular risk models for South Asian populations: a systematic review
Published in
International Journal of Public Health, September 2015
DOI 10.1007/s00038-015-0733-4
Pubmed ID
Authors

Dipesh P. Gopal, Juliet A. Usher-Smith

Abstract

To review existing cardiovascular risk models applicable to South Asian populations. A systematic review of the literature using a combination of search terms for "South Asian", "cardiovascular", "risk"/"score" and existing risk models for inclusion. South Asian was defined as those residing in or with ancestry belonging to the Indian subcontinent. The literature search including MEDLINE and EMBASE identified 7560 papers. After full-text review, 4 papers met the inclusion criteria. Only 1 reported formal measures of model performance. In that study, both a modified Framingham model and QRISK2 showed similar good discrimination with AUROCs of 0.73-0.77 with calibration also reasonable in men (0.71-0.93) but poor in women (0.43-0.52). Considering the number of South Asians and prevalence of cardiovascular disease, very few studies have reported performance of risk scores in South Asian populations. Furthermore, it was difficult to make comparisons, as many did not provide measures of discrimination, accuracy and calibration. There is a need for further research to evaluate risk models in South Asians, and ideally derive and validate cardiovascular risk models within South Asian populations.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 25%
Student > Master 6 17%
Student > Doctoral Student 3 8%
Student > Postgraduate 2 6%
Student > Ph. D. Student 2 6%
Other 4 11%
Unknown 10 28%
Readers by discipline Count As %
Medicine and Dentistry 12 33%
Social Sciences 3 8%
Nursing and Health Professions 2 6%
Agricultural and Biological Sciences 2 6%
Psychology 1 3%
Other 3 8%
Unknown 13 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 07 July 2016.
All research outputs
#14,536,007
of 25,373,627 outputs
Outputs from International Journal of Public Health
#1,057
of 1,900 outputs
Outputs of similar age
#128,063
of 280,197 outputs
Outputs of similar age from International Journal of Public Health
#28
of 40 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,900 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.8. This one is in the 43rd percentile – i.e., 43% 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 280,197 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.