Performance of the Framingham risk models and pooled cohort equations for predicting 10-year risk of cardiovascular disease: a systematic review and meta-analysis
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Performance of the Framingham risk models and pooled cohort equations for predicting 10-year risk of cardiovascular disease: a systematic review and meta-analysis
Authors
Keywords
Cardiovascular disease, Prediction models, Prognosis, Systematic review, Meta-analysis
Journal
BMC Medicine
Volume 17, Issue 1, Pages -
Publisher
Springer Science and Business Media LLC
Online
2019-06-13
DOI
10.1186/s12916-019-1340-7
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- PROBAST: A Tool to Assess Risk of Bias and Applicability of Prediction Model Studies: Explanation and Elaboration
- (2019) Karel G.M. Moons et al. ANNALS OF INTERNAL MEDICINE
- PROBAST: A Tool to Assess the Risk of Bias and Applicability of Prediction Model Studies
- (2019) Robert F. Wolff et al. ANNALS OF INTERNAL MEDICINE
- Effect of using cardiovascular risk scoring in routine risk assessment in primary prevention of cardiovascular disease: an overview of systematic reviews
- (2019) Krzysztof Studziński et al. BMC Cardiovascular Disorders
- Empirical evidence of the impact of study characteristics on the performance of prediction models: a meta-epidemiological study
- (2019) Johanna A A G Damen et al. BMJ Open
- Temporal trends in cardiovascular risk factors and performance of the Framingham Risk Score and the Pooled Cohort Equations
- (2018) Susanne Rospleszcz et al. JOURNAL OF EPIDEMIOLOGY AND COMMUNITY HEALTH
- The Veterans Affairs Cardiac Risk Score
- (2017) Jeremy B. Sussman et al. MEDICAL CARE
- Meta-analysis of prediction model performance across multiple studies: Which scale helps ensure between-study normality for the C-statistic and calibration measures?
- (2017) Kym IE Snell et al. STATISTICAL METHODS IN MEDICAL RESEARCH
- Development and validation of QRISK3 risk prediction algorithms to estimate future risk of cardiovascular disease: prospective cohort study
- (2017) Julia Hippisley-Cox et al. BMJ-British Medical Journal
- A guide to systematic review and meta-analysis of prediction model performance
- (2017) Thomas P A Debray et al. BMJ-British Medical Journal
- Development and validation of QRISK3 risk prediction algorithms to estimate future risk of cardiovascular disease: prospective cohort study
- (2017) Julia Hippisley-Cox et al. BMJ-British Medical Journal
- A guide to systematic review and meta-analysis of prediction model performance
- (2017) Thomas P A Debray et al. BMJ-British Medical Journal
- Calibration of the Pooled Cohort Equations for Atherosclerotic Cardiovascular Disease
- (2016) Nancy R. Cook et al. ANNALS OF INTERNAL MEDICINE
- Predicting the 10-Year Risks of Atherosclerotic Cardiovascular Disease in Chinese PopulationClinical Perspective
- (2016) Xueli Yang et al. CIRCULATION
- The Pooled Cohort Equations 3 Years On
- (2016) Paul M Ridker et al. CIRCULATION
- Inaccurate risk perceptions contribute to treatment gaps in secondary prevention of cardiovascular disease
- (2016) J. Thakkar et al. INTERNAL MEDICINE JOURNAL
- Multivariate meta-analysis of individual participant data helped externally validate the performance and implementation of a prediction model
- (2016) Kym I.E. Snell et al. JOURNAL OF CLINICAL EPIDEMIOLOGY
- Explicit inclusion of treatment in prognostic modeling was recommended in observational and randomized settings
- (2016) Rolf H.H. Groenwold et al. JOURNAL OF CLINICAL EPIDEMIOLOGY
- Accuracy of the Atherosclerotic Cardiovascular Risk Equation in a Large Contemporary, Multiethnic Population
- (2016) Jamal S. Rana et al. JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY
- A review of statistical updating methods for clinical prediction models
- (2016) Ting-Li Su et al. STATISTICAL METHODS IN MEDICAL RESEARCH
- A closed testing procedure to select an appropriate method for updating prediction models
- (2016) Yvonne Vergouwe et al. STATISTICS IN MEDICINE
- Improvement in Cardiovascular Risk Prediction with Electronic Health Records
- (2016) Mindy M. Pike et al. Journal of Cardiovascular Translational Research
- Prediction models for cardiovascular disease risk in the general population: systematic review
- (2016) Johanna A A G Damen et al. BMJ-British Medical Journal
- External validation of clinical prediction models using big datasets from e-health records or IPD meta-analysis: opportunities and challenges
- (2016) Richard D Riley et al. BMJ-British Medical Journal
- Prediction models for cardiovascular disease risk in the general population: systematic review
- (2016) Johanna A A G Damen et al. BMJ-British Medical Journal
- External validation of clinical prediction models using big datasets from e-health records or IPD meta-analysis: opportunities and challenges
- (2016) Richard D Riley et al. BMJ-British Medical Journal
- Recalibration of the ACC/AHA Risk Score in Two Population-Based German Cohorts
- (2016) Tonia de las Heras Gala et al. PLoS One
- Calibration and Discrimination Among Multiple Cardiovascular Risk Scores in a Modern Multiethnic Cohort
- (2015) Andrew P. DeFilippis et al. ANNALS OF INTERNAL MEDICINE
- Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): The TRIPOD Statement
- (2015) Gary S. Collins et al. ANNALS OF INTERNAL MEDICINE
- Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): Explanation and Elaboration
- (2015) Karel G.M. Moons et al. ANNALS OF INTERNAL MEDICINE
- An Analysis of Calibration and Discrimination Among Multiple Cardiovascular Risk Scores in a Modern Multiethnic Cohort
- (2015) Andrew P. DeFilippis et al. ANNALS OF INTERNAL MEDICINE
- The ACC/AHA 2013 pooled cohort equations compared to a Korean Risk Prediction Model for atherosclerotic cardiovascular disease
- (2015) Keum Ji Jung et al. ATHEROSCLEROSIS
- A new approach to test validity and clinical usefulness of the 2013 ACC/AHA guideline on statin therapy: A population-based study
- (2015) Davood Khalili et al. INTERNATIONAL JOURNAL OF CARDIOLOGY
- A new framework to enhance the interpretation of external validation studies of clinical prediction models
- (2015) Thomas P.A. Debray et al. JOURNAL OF CLINICAL EPIDEMIOLOGY
- Validation of the Pooled Cohort equations in a long-term cohort study of Hong Kong Chinese
- (2015) Chi Ho Lee et al. Journal of Clinical Lipidology
- Fitting Linear Mixed-Effects Models Usinglme4
- (2015) Douglas Bates et al. Journal of Statistical Software
- Impact of provision of cardiovascular disease risk estimates to healthcare professionals and patients: a systematic review
- (2015) Juliet A Usher-Smith et al. BMJ Open
- Implications of the US Cholesterol Guidelines on Eligibility for Statin Therapy in the Community: Comparison of Observed and Predicted Risks in the Framingham Heart Study Offspring Cohort
- (2015) C. Andersson et al. Journal of the American Heart Association
- A novel risk score to predict cardiovascular disease risk in national populations (Globorisk): a pooled analysis of prospective cohorts and health examination surveys
- (2015) Kaveh Hajifathalian et al. Lancet Diabetes & Endocrinology
- Conducting Meta-Analyses inRwith themetaforPackage
- (2015) Wolfgang Viechtbauer Journal of Statistical Software
- Visceral fat quantification in asymptomatic adults using abdominal CT: is it predictive of future cardiac events?
- (2014) Eva M. Ryckman et al. ABDOMINAL IMAGING
- Validation of the pooled cohort risk score in an Asian population – a retrospective cohort study
- (2014) Yook Chin Chia et al. BMC Cardiovascular Disorders
- Towards better clinical prediction models: seven steps for development and an ABCD for validation
- (2014) E. W. Steyerberg et al. EUROPEAN HEART JOURNAL
- Statins and Ischemic Stroke
- (2014) J. David Spence JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- The New Cholesterol and Blood Pressure Guidelines
- (2014) Harlan M. Krumholz JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Validation of the Atherosclerotic Cardiovascular Disease Pooled Cohort Risk Equations
- (2014) Paul Muntner et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Comparison of Application of the ACC/AHA Guidelines, Adult Treatment Panel III Guidelines, and European Society of Cardiology Guidelines for Cardiovascular Disease Prevention in a European Cohort
- (2014) Maryam Kavousi et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- A coronary heart disease prediction model: the Korean Heart Study
- (2014) Sun Ha Jee et al. BMJ Open
- Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies: The CHARMS Checklist
- (2014) Karel G. M. Moons et al. PLOS MEDICINE
- Further Insight Into the Cardiovascular Risk Calculator
- (2014) Nancy R. Cook et al. JAMA Internal Medicine
- Development and Validation of a Coronary Risk Prediction Model for Older U.S. and European Persons in the Cardiovascular Health Study and the Rotterdam Study
- (2013) Michael T. Koller et al. ANNALS OF INTERNAL MEDICINE
- 2013 ACC/AHA Guideline on the Treatment of Blood Cholesterol to Reduce Atherosclerotic Cardiovascular Risk in Adults
- (2013) Neil J. Stone et al. CIRCULATION
- 2013 ACC/AHA Guideline on the Assessment of Cardiovascular Risk
- (2013) David C. Goff et al. CIRCULATION
- 2013 AHA/ACC Guideline on Lifestyle Management to Reduce Cardiovascular Risk
- (2013) Robert H. Eckel et al. CIRCULATION
- Comment on the Reports of Over-estimation of ASCVD Risk Using the 2013 AHA/ACC Risk Equation
- (2013) Paul Muntner et al. CIRCULATION
- Response to Comment on the Reports of Over-estimation of ASCVD Risk Using the 2013 AHA/ACC Risk Equation
- (2013) Nancy R. Cook et al. CIRCULATION
- Cardiovascular Disease Risk Prediction in Women: Is There a Role for Novel Biomarkers?
- (2013) N. P. Paynter et al. CLINICAL CHEMISTRY
- Framingham Risk Score and Alternatives for Prediction of Coronary Heart Disease in Older Adults
- (2012) Nicolas Rodondi et al. PLoS One
- Multivariate meta-analysis for non-linear and other multi-parameter associations
- (2012) A. Gasparrini et al. STATISTICS IN MEDICINE
- Inclusion of Stroke in Cardiovascular Risk Prediction Instruments
- (2012) Daniel T. Lackland et al. STROKE
- Original and REGICOR Framingham Functions in a Nondiabetic Population of a Spanish Health Care Center: A Validation Study
- (2011) F. Buitrago et al. ANNALS OF FAMILY MEDICINE
- External Validity of Risk Models: Use of Benchmark Values to Disentangle a Case-Mix Effect From Incorrect Coefficients
- (2010) Y. Vergouwe et al. AMERICAN JOURNAL OF EPIDEMIOLOGY
- Evaluation of cardiovascular risk predicted by different SCORE equations: The Netherlands as an example
- (2010) Ineke van Dis et al. EUROPEAN JOURNAL OF CARDIOVASCULAR PREVENTION & REHABILITATION
- Predictive ability of the SCORE Belgium risk chart for cardiovascular mortality
- (2009) Dirk De Bacquer et al. INTERNATIONAL JOURNAL OF CARDIOLOGY
- Evaluation of the Framingham Risk Score in the European Prospective Investigation of Cancer–Norfolk CohortDoes Adding Glycated Hemoglobin Improve the Prediction of Coronary Heart Disease Events?
- (2008) Rebecca K. Simmons ARCHIVES OF INTERNAL MEDICINE
- Updating methods improved the performance of a clinical prediction model in new patients
- (2007) K.J.M. Janssen et al. JOURNAL OF CLINICAL EPIDEMIOLOGY
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started