Developing cardiovascular disease risk programs in India—Why location and wealth matter

[...]when risk factor prevalence rates and CVD incidence rates are rapidly changing due to demographic and socioeconomic changes in the community, the need to recalibrate such equations becomes important [4]. [...]although risk prediction equations were designed to guide decisions on management and...

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Veröffentlicht in:PLoS medicine Jg. 15; H. 6; S. e1002582
Hauptverfasser: Peiris, David, Prabhakaran, Dorairaj
Format: Journal Article
Sprache:Englisch
Veröffentlicht: United States Public Library of Science 19.06.2018
Public Library of Science (PLoS)
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ISSN:1549-1676, 1549-1277, 1549-1676
Online-Zugang:Volltext
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Zusammenfassung:[...]when risk factor prevalence rates and CVD incidence rates are rapidly changing due to demographic and socioeconomic changes in the community, the need to recalibrate such equations becomes important [4]. [...]although risk prediction equations were designed to guide decisions on management and intervention, the evidence that use of risk scores improves clinical outcomes remains unclear [7]. [...]the survey data that were relied on are now over 5 years old, and, given rapid demographic transitions across India, the risk estimates may not reflect the contemporary situation. [...]27% of the survey sample did not have sufficient information to assess risk, and males with missing data appear to be a little better educated, wealthier, and more likely to reside in an urban setting.
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I have read the journal's policy, and the authors of this manuscript have the following competing interests: DPe is a member of the Editorial Board of PLOS Medicine.
ISSN:1549-1676
1549-1277
1549-1676
DOI:10.1371/journal.pmed.1002582