Research
Comparisons of established risk prediction models for cardiovascular disease: systematic review
BMJ 2012; 344 doi: https://doi.org/10.1136/bmj.e3318 (Published 24 May 2012) Cite this as: BMJ 2012;344:e3318Data supplement
Web Extra
Extra material supplied by the author
Files in this Data Supplement:
- Data Supplement - Appendix: search strategy
- Data Supplement - Figure showing selection of eligible studies of risk models comparisons
- Data Supplement - Table 1: details of examined risk models for cardiovascular disease prediction
- Data Supplement - Table 2: reporting and management of missing data
- Data Supplement - Table 3: potential biases and authors’ comments on performance of risk models
- Data Supplement - Table 4: discrimination performance according to metrics other than area under the receiver operating characteristic curve
- Data Supplement - Table 5: calibration metrics
Web Extra
Extra material supplied by the author
Files in this Data Supplement:
- Data Supplement - Appendix: search strategy
- Data Supplement - Figure showing selection of eligible studies of risk models comparisons
- Data Supplement - Table 1: details of examined risk models for cardiovascular disease prediction
- Data Supplement - Table 2: reporting and management of missing data
- Data Supplement - Table 3: potential biases and authors’ comments on performance of risk models
- Data Supplement - Table 4: discrimination performance according to metrics other than area under the receiver operating characteristic curve
- Data Supplement - Table 5: calibration metrics
Related articles
- RESEARCH Published: 05 July 2007; BMJ doi:10.1136/bmj.39261.471806.55
- Research Published: 19 July 2007; BMJ 335 doi:10.1136/bmj.39261.471806.55
- Research Published: 13 May 2010; BMJ 340 doi:10.1136/bmj.c2442
- ResearchPredicting cardiovascular risk in England and Wales: prospective derivation and validation of QRISK2Published: 26 June 2008; BMJ 336 doi:10.1136/bmj.39609.449676.25
- Research Published: 07 July 2009; BMJ 339 doi:10.1136/bmj.b2584
- Research Published: 18 September 2012; BMJ 345 doi:10.1136/bmj.e5900
- Letter Published: 03 July 2012; BMJ 345 doi:10.1136/bmj.e4355
- Letter Published: 03 July 2012; BMJ 345 doi:10.1136/bmj.e4357
- Research Methods & Reporting Published: 07 January 2015; BMJ 350 doi:10.1136/bmj.g7594
- Research Published: 16 May 2016; BMJ 353 doi:10.1136/bmj.i2416
- Research Methods & Reporting Published: 03 May 2023; BMJ 381 doi:10.1136/bmj-2022-073538
See more
- Cardiovascular disease: Just one in 12 eligible people had health check last year, watchdog findsBMJ November 13, 2024, 387 q2518; DOI: https://doi.org/10.1136/bmj.q2518
- Semaglutide’s CVD indication could cost US Medicare $145bn extra a yearBMJ August 28, 2024, 386 q1878; DOI: https://doi.org/10.1136/bmj.q1878
- Semaglutide: UK regulator approves drug for prevention of cardiovascular eventsBMJ July 25, 2024, 386 q1660; DOI: https://doi.org/10.1136/bmj.q1660
- Why India is failing to track heatstroke fatalities properlyBMJ July 17, 2024, 386 q1437; DOI: https://doi.org/10.1136/bmj.q1437
- Mail on Sunday articles that accused three commentators of being “statin deniers” were misinformed, judge rulesBMJ June 26, 2024, 385 q1424; DOI: https://doi.org/10.1136/bmj.q1424
Cited by...
- Transparent reporting of multivariable prediction models for individual prognosis or diagnosis: checklist for systematic reviews and meta-analyses (TRIPOD-SRMA)
- Development and validation of a novel 10-year cardiovascular risk prediction nomogram for the United Arab Emirates national population
- Risk prediction model for cardiovascular diseases in adults initiating pharmacological treatment for attention-deficit/hyperactivity disorder
- Development and validation of a cardiovascular diseases risk prediction model for Chinese males (CVDMCM)
- Sex-specific survival bias and interaction modeling in coronary artery disease risk prediction
- External validation of the improving partial risk adjustment in surgery (PRAIS-2) model for 30-day mortality after paediatric cardiac surgery
- EXTERNAL VALIDATION OF THE IMPROVING PARTIAL RISK ADJUSTMENT IN SURGERY (PRAIS2) MODEL FOR 30-DAY MORTALITY AFTER PEDIATRIC CARDIAC SURGERY
- Predicting major adverse cardiovascular events for secondary prevention: protocol for a systematic review and meta-analysis of risk prediction models
- Improving Heart disease risk through quality-focused diet logging: pre-post study of a diet quality tracking app
- Can risk be predicted? An umbrella systematic review of current risk prediction models for cardiovascular diseases, diabetes and hypertension
- Machine learning models in electronic health records can outperform conventional survival models for predicting patient mortality in coronary artery disease
- The views of public and clinician stakeholders on risk assessment tools for post-stroke dementia: a qualitative study
- Development and validation of a cardiovascular disease risk-prediction model using population health surveys: the Cardiovascular Disease Population Risk Tool (CVDPoRT)
- Prognostic validation of a non-laboratory and a laboratory based cardiovascular disease risk score in multiple regions of the world
- Migration and Cardiovascular Disease Risk Among Ghanaian Populations in Europe:: The RODAM Study (Research on Obesity and Diabetes Among African Migrants)
- Northern Shanghai Study: cardiovascular risk and its associated factors in the Chinese elderly--a study protocol of a prospective study design
- Prediction models for cardiovascular disease risk in the general population: systematic review
- Recent Update to the US Cholesterol Treatment Guidelines: A Comparison With International Guidelines
- Circulating Proprotein Convertase Subtilisin/Kexin Type 9 (PCSK9) Predicts Future Risk of Cardiovascular Events Independently of Established Risk Factors
- A validation study of a clinical prediction rule for screening asymptomatic chlamydia and gonorrhoea infections among heterosexuals in British Columbia
- Clinical Prediction Models for Cardiovascular Disease: Tufts Predictive Analytics and Comparative Effectiveness Clinical Prediction Model Database
- Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis (TRIPOD): The TRIPOD Statement
- The NHS Health Check programme: a comparison against established standards for screening
- General practitioners' use of absolute risk versus individual risk factors in cardiovascular disease prevention: an experimental study
- Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement
- Ethnicity and prediction of cardiovascular disease: performance of QRISK2 and Framingham scores in a UK tri-ethnic prospective cohort study (SABRE--Southall And Brent REvisited)
- The efficiency of cardiovascular risk assessment: do the right patients get statin treatment?
- Agreement Among Cardiovascular Disease Risk Calculators
- Prediction models for risk of developing type 2 diabetes: systematic literature search and independent external validation study
- Systematic review did not consider problem of treatment effects
- Time to compare impact and feasibility of prediction models in real life
- The risks in risk prediction