ReviewNature reviews. Cardiology2015
Cardiovascular risk assessment: a global perspective.
Review in Nature reviews. Cardiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03696940 (Estudio clínico Fase III Para Evaluar la Eficacia terapéutica en Pacientes Mexicanos Con Dislipidemia Mediante el Uso vía Oral de L-Carnitina + Atorvastatina Comparado Con Atorvastatina), which is not on this map. Cited by 71 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Estudio clínico Fase III Para Evaluar la Eficacia terapéutica en Pacientes Mexicanos Con Dislipidemia Mediante el Uso vía Oral de L-Carnitina + Atorvastatina Comparado Con Atorvastatina
Who cites it
71 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Artificial intelligence in the risk prediction models of cardiovascular disease and development of an independent validation screening tool: a systematic review.BMC medicine · 2024Pooled it
- Associations between dietary fiber intake and cardiovascular risk factors: An umbrella review of meta-analyses of randomized controlled trials.Frontiers in nutrition · 2022Pooled it
- Effectiveness of treat-to-target cholesterol-lowering interventions on cardiovascular disease and all-cause mortality risk in the community-dwelling population: a target trial emulation.Nature communications · 2024Trial
- A Simple Model for Predicting 10-Year Cardiovascular Risk in Middle-Aged to Older Chinese: Guangzhou Biobank Cohort Study.Journal of cardiovascular translational research · 2022Trial
- Prediction of Cardiovascular Disease by the Framingham-REGICOR Equation in the High-Risk PREDIMED Cohort: Impact of the Mediterranean Diet Across Different Risk Strata.Journal of the American Heart Association · 2017Trial
- Cardiovascular risk prediction in women with gestational diabetes using risk assessment tools: a scoping review.Diabetology & metabolic syndrome · 2026Article
- Multiethnic community cardio-metabolic risk factor screening in Northeast Florida: The VIDASANA Project.American heart journal plus : cardiology research and practice · 2026Article
- Framingham risk score in predicting increased carotid intima-media thickness on ultrasound: identifying patients with subclinical atherosclerosis at high risk.BMC neurology · 2026Article
- Assessment of 10-year cardiovascular disease risk in Bangladesh: a comparative analysis of laboratory and non-laboratory-based WHO risk prediction models.BMJ public health · 2026Article
- Sex differences in cardiac risk and kidney function: serum creatinine versus cystatin C.BMC medicine · 2025Article
- Digital intelligence for cardiometabolic health management in older adults: protocol for a community-based prospective cohort study.BMC geriatrics · 2025Article
- Increased prevalence of cardio-cerebrovascular risk factors during the COVID-19 pandemic lockdown: a large, single center, cross-sectional study.BMC medicine · 2025Article
- Design and validation of a novel multiple sites signal acquisition and analysis system based on pressure stimulation for human cardiovascular information.Scientific reports · 2025Article
- Systematic interrogation of functional genes underlying cholesterol and lipid homeostasis.Genome biology · 2025Article
- Cardiovascular Risk Estimation in Colombia Using Artificial Intelligence Techniques.Cardiology research and practice · 2025Article
- The relationship between triglyceride to high-density lipoprotein cholesterol ratio and cardiovascular high risk: a cross-sectional investigation.Frontiers in endocrinology · 2025Article
- Racial and ethnic disparities in longitudinal trajectories of cardiovascular risk factors in U.S. middle-aged and older adults.PloS one · 2025Article
- Exploring the Current Tools in Cardiovascular Risk Assessment in the Middle East and the Need for Region-Specific Models - A Scoping Review.Therapeutics and clinical risk management · 2025Review
- Machine-learning-based prediction of cardiovascular events for hyperlipidemia population with lipid variability and remnant cholesterol as biomarkers.Health information science and systems · 2024Article
- External Validation of the American Heart Association PREVENT Cardiovascular Disease Risk Equations.JAMA network open · 2024Article
11 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
Indexed as
Identifiers
25754885What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.