ReviewBMC medicine2010
Cardiovascular risk assessment--from individual risk prediction to estimation of global risk and change in risk in the population.
Review in BMC medicine, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
36 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Anti-hyperlipidemia of garlic by reducing the level of total cholesterol and low-density lipoprotein: A meta-analysis.Medicine · 2018Pooled it
- The role of radionuclide myocardial perfusion imaging for asymptomatic individuals.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2011Guideline
- Trial
- Trial
- Multiomics Analysis of a Micronutrient-Rich Dietary Pattern and the Aging Genotype 9p21 on the Plasma Proteome of Young Adults.Nutrients · 2025Article
- Application of stroke prediction models to evaluation of worksite health status.Environmental and occupational health practice · 2024Article
- Cardiovascular Risk Assessment Among Adolescents and Youths Living With HIV: Evaluation of Electronic Health Record Findings and Implications.Interactive journal of medical research · 2023Article
- Capturing heart valve development with Gene Ontology.Frontiers in genetics · 2023Article
- Genetic variation in 9p21, dietary patterns, and insulin sensitivity.Frontiers in genetics · 2022Article
- Cardiovascular event risk estimation among residents of a rural setting in Bayelsa state, Nigeria.American journal of cardiovascular disease · 2021Article
- A Validation Study Comparing Risk Prediction Models of IgA Nephropathy.Frontiers in immunology · 2021Article
- Cardiorespiratory fitness improves prediction of mortality of standard cardiovascular risk scores in a Latino population.Clinical cardiology · 2020Article
- Sedentary lifestyle and Framingham risk scores: a population-based study in Riyadh city, Saudi Arabia.BMC cardiovascular disorders · 2019Article
- Provider Survey on Automated Clinical Decision Support for Cardiovascular Risk Assessment.Mayo Clinic proceedings. Innovations, quality & outcomes · 2019Article
- Provider Survey on Automated Clinical Decision Support System for Cardiovascular Risk Assessment.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2019Article
- Association of adiposity, telomere length and mortality: data from the NHANES 1999-2002.International journal of obesity (2005) · 2018Article
- Article
- Nomogram for Predicting Cardiovascular Mortality in Incident Peritoneal Dialysis Patients: An Observational Study.Scientific reports · 2017Observational
- Association between cardiovascular disease risk scores and subclinical atherosclerosis prevalence in non-elderly adult patients from Argentina.The international journal of cardiovascular imaging · 2017Observational
- Total cardiovascular risk for next 10 years among rural population of Nepal using WHO/ISH risk prediction chart.BMC research notes · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCardiovascular disease is the most common cause of death and risk prediction formulae such as the Framingham Risk Score have been developed to easily identify patients at high risk that may require therapeutic interventions. DISCUSSION: Using cardiovascular risk formulae at a population level to estimate and compare average cardiovascular risk among groups has been recently proposed as a way to facilitate surveillance of net cardiovascular risk and target public health interventions. Risk prediction formulas may help to compare interventions that cause effects of different magnitudes and directions in several cardiovascular risk factors, because these formulas assess the net change in risk using easily obtainable clinical variables. Because of conflicting data estimates of the incidence and prevalence of cardiovascular disease, risk prediction formulae may be a useful tool to estimate such risk at a population level. SUMMARY: Although risk prediction formulae were intended on guiding clinicians to individualized therapy, they also can be used to ascertain trends at a population-level, particularly in situations where changes in different cardiovascular risk factors over time have different magnitudes and directions. The efficacy of interventions that are proposed to reduce cardiovascular risk impacting more than one risk factor can be well assessed by these means.
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What OpenQuestion 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 OpenQuestion graph.