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We are analyzing https://www.nature.com/articles/nrcardio.2015.28.

Title:
Cardiovascular risk assessment: a global perspective | Nature Reviews Cardiology
Description:
Risk-assessment models are important for the identification of individuals at high risk of developing cardiovascular diseases. Although several well-known models for risk assessment have been published in Europe and the USA, very few studies have discussed the development of risk-assessment models from a global perspective. In this Review, Zhao and colleagues discuss differences in risk-assessment recommendations from developed compared with developing countries, and consider their effects on clinical practice. An important strategy in primary prevention of cardiovascular diseases (CVD) is the early identification of high-risk individuals. Effective implementation of a strategy to identify these individuals in a clinical setting is reliant on the availability of appropriate CVD risk-assessment models and guideline recommendations. Several well-known models for CVD risk assessment have been developed and utilized in the USA and Europe, but might not be suitable for use in other regions or countries. Very few reports have discussed the development of risk-assessment models and recommendations from a global perspective. In this Review, we discuss why risk-assessment methods developed from studies in one geographical region or ethnic population might not be suitable for other regions or populations, and examine the availability and characteristics of predictive models in areas beyond the USA or Europe. In addition, we compare the differences in risk-assessment recommendations outlined in CVD clinical guidelines from developed and developing countries, and consider their potential effect on clinical practice. This overview of cardiovascular risk assessment from a global perspective can potentially guide low-to-middle-income countries in the development or validation of their own CVD risk-assessment models, and the formulation of recommendations in their own clinical guidelines according to local requirements.
Website Age:
30 years and 10 months (reg. 1994-08-11).

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  • Health & Fitness
  • Education
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🌠 Phenomenal Traffic: 5M - 10M visitors per month


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$63,100 per month
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Keywords {πŸ”}

pubmed, article, google, scholar, risk, cardiovascular, disease, heart, cas, coronary, guidelines, prevention, assessment, study, central, nature, society, european, prediction, clinical, population, hypertension, global, cvd, practice, management, treatment, health, circulation, cholesterol, online, med, cardiol, chinese, national, recommendations, models, diseases, eur, adults, blood, riskassessment, year, framingham, content, data, cardiology, review, countries, guideline,

Topics {βœ’οΈ}

nature portfolio permissions reprints privacy policy cardiovascular disease research nature cardiovascular translational research advertising risk-assessment tools developed scientific committee social media healthcare research author correspondence bmj open 4 esh/esc task force japan atherosclerosis society cross-sectional survey middle eastern population localized risk-assessment models expert-based family criteria regional mortality framingham-based risk assessment population risk-factor levels korean heart study cvd risk-assessment models regional burden remodeling-related cardiovascular diseases high-risk cardiovascular disease national heart foundation risk-assessment methods developed middle-income countries middle income countries risk-assessment recommendations outlined cvd risk-assessment recommendations springerlink instant access permissions general cvd algorithm' chilean subjects based china joint task force family health history joint national committee india cardiovascular disease based egyptian heart journal bmc health serv coronary heart disease risk-factor profile personal data japanβ€”2012 version risk prediction models

Questions {❓}

  • Is lipoprotein(a) an independent risk factor for ischemic heart disease in men?
  • Prediction of mortality from coronary heart disease among diverse populations: is there a common predictive function?
  • Screening for high-risk cardiovascular disease: a challenge for the guidelines: comment on β€œsystematic review of guidelines on cardiovascular risk assessment: which recommendations should clinicians follow for a cardiovascular health check?
  • Systematic review of guidelines on cardiovascular risk assessment: which recommendations should clinicians follow for a cardiovascular health check?
  • What do we mean by validating a prognostic model?

Schema {πŸ—ΊοΈ}

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