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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Vydáno v:PLoS medicine Ročník 15; číslo 6; s. e1002582
Hlavní autoři: Peiris, David, Prabhakaran, Dorairaj
Médium: Journal Article
Jazyk:angličtina
Vydáno: United States Public Library of Science 19.06.2018
Public Library of Science (PLoS)
Témata:
Adult
Cardiovascular disease
Cardiovascular Diseases
Computer and Information Sciences
Cross-Sectional Studies
Demographics
Developing Countries
Diabetes
Disease prevention
Earth Sciences
Estimates
Funding
Health promotion
Health risk assessment
Health risks
Health services
Households
Humans
India
Medicine and Health Sciences
Methods
Missing data
People and Places
Population
Prevention
Public health administration
Rural areas
Sociodemographics
Urban areas
India
ISSN:1549-1676, 1549-1277, 1549-1676
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Abstract [...]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.
AbstractList In a Perspective, David Peiris and Dorairaj Prabhakaran discuss implications and challenges of cardiovascular disease risk assessments in the population of India.In a Perspective, David Peiris and Dorairaj Prabhakaran discuss implications and challenges of cardiovascular disease risk assessments in the population of India.
[...]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.
[...]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.
In a Perspective, David Peiris and Dorairaj Prabhakaran discuss implications and challenges of cardiovascular disease risk assessments in the population of India.
Audience Academic
Author Peiris, David
Prabhakaran, Dorairaj
AuthorAffiliation 2 Centre for Chronic Disease Control, New Delhi, India
1 The George Institute for Global Health, UNSW Sydney, Sydney, Australia
3 Public Health Foundation of India, New Delhi, India
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Cites_doi 10.1136/jech.2008.077057
10.1371/journal.pmed.1002581
10.1186/1471-2261-13-10
10.37821/ruhsjhs.3.4.2018.182-183
10.1371/journal.pmed.1002538
10.1016/j.jacc.2011.10.901
10.1136/bmj.j2099
10.1016/j.ijcard.2014.07.066
10.1016/S0140-6736(06)69252-0
10.1371/journal.pone.0195179
10.1007/s41669-017-0037-0
10.1016/S0140-6736(05)70240-3
10.1136/bmjgh-2017-000519
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2018 Peiris, Prabhakaran. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
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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.
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Snippet In a Perspective, David Peiris and Dorairaj Prabhakaran discuss implications and challenges of cardiovascular disease risk assessments in the population of...
[...]when risk factor prevalence rates and CVD incidence rates are rapidly changing due to demographic and socioeconomic changes in the community, the need to...
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SubjectTerms Adult
Cardiovascular disease
Cardiovascular Diseases
Computer and Information Sciences
Cross-Sectional Studies
Demographics
Developing Countries
Diabetes
Disease prevention
Earth Sciences
Estimates
Funding
Health promotion
Health risk assessment
Health risks
Health services
Households
Humans
India
Medicine and Health Sciences
Methods
Missing data
People and Places
Population
Prevention
Public health administration
Rural areas
Sociodemographics
Urban areas
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Title Developing cardiovascular disease risk programs in India—Why location and wealth matter
URI https://www.ncbi.nlm.nih.gov/pubmed/29920530
https://www.proquest.com/docview/2070851273
https://www.proquest.com/docview/2057444510
https://pubmed.ncbi.nlm.nih.gov/PMC6007889
https://doaj.org/article/1029a1a9c1604653aaf5bbb50e759cfb
http://dx.doi.org/10.1371/journal.pmed.1002582
Volume 15
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