Comparisons of established risk prediction models for cardiovascular disease: systematic review
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Review of guidelines on primary prevention of cardiovascular disease with aspirin: how much evidence is needed to turn a tanker?Prediction models for the risk of postoperative nausea and vomitingPrediction of violent reoffending on release from prison: derivation and external validation of a scalable toolImproved prediction of complex diseases by common genetic markers: state of the art and further perspectivesApplicability of the Existing CVD Risk Assessment Tools to Type II Diabetics in Oman: A ReviewCurrent Developments in Dementia Risk Prediction Modelling: An Updated Systematic ReviewPerspective: the challenge of clinical decision-making for drug treatment in older people. The role of multidimensional assessment and prognosisPredicting adverse drug reactions in older adults; a systematic review of the risk prediction modelsCardiovascular disease risk models and longitudinal changes in cognition: a systematic reviewCardiovascular disease risk scores in the current practice: which to use in rheumatoid arthritis?Ethnicity and prediction of cardiovascular disease: performance of QRISK2 and Framingham scores in a U.K. tri-ethnic prospective cohort study (SABRE--Southall And Brent REvisited)Clinical Prediction Models for Cardiovascular Disease: Tufts Predictive Analytics and Comparative Effectiveness Clinical Prediction Model DatabaseProviding clinicians with a patient's 10-year cardiovascular risk improves their statin prescribing: a true experiment using clinical vignettes.Development of a multi-institutional cohort to facilitate cardiovascular disease biomarker validation using existing biorepository samples linked to electronic health records.Critical appraisal and data extraction for systematic reviews of prediction modelling studies: the CHARMS checklist.Comparisons of risk prediction methods using nested case-control data.General practitioners' use of absolute risk versus individual risk factors in cardiovascular disease prevention: an experimental study.Identification of low risk of violent crime in severe mental illness with a clinical prediction tool (Oxford Mental Illness and Violence tool [OxMIV]): a derivation and validation studyContribution of individual risk factor changes to reductions in population absolute cardiovascular risk.Adding multiple risk factors improves Framingham coronary heart disease risk scores.The NHS Health Check programme: a comparison against established standards for screening.Prediction of cardiovascular risk using Framingham, ASSIGN and QRISK2: how well do they predict individual rather than population risk?Prediction models for cardiovascular disease risk in the general population: systematic review.Learning lessons from operational research in infectious diseases: can the same model be used for noncommunicable diseases in developing countries?Cardiovascular risk estimation in women with a history of hypertensive pregnancy disorders at term: a longitudinal follow-up studyTransparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD Statement.Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement. The TRIPOD Group.Tailoring the implementation of new biomarkers based on their added predictive value in subgroups of individualsRiGoR: reporting guidelines to address common sources of bias in risk model development.Cardiovascular risk factor distribution and subjective risk estimation in urban women--the BEFRI study: a randomized cross-sectional study.Cardiovascular Risk Assessment and Effects on Behavior in Switzerland The Swiss Heart Foundation HerzCheck(®)/Cardio-Test(®).Agreement Between Cardiovascular Disease Risk Scores in Resource-Limited Settings: Evidence from 5 Peruvian Sites.Assessing Discriminative Performance at External Validation of Clinical Prediction Models.Diet Quality Scores and Prediction of All-Cause, Cardiovascular and Cancer Mortality in a Pan-European Cohort StudyA Global View of the Relationships between the Main Behavioural and Clinical Cardiovascular Risk Factors in the GAZEL Prospective Cohort.Prediction models for risk of developing type 2 diabetes: systematic literature search and independent external validation study.Prognostic Abilities and Quality Assessment of Models for the Prediction of 90-Day Mortality in Liver Transplant Waiting List PatientsRisk prediction models for selection of lung cancer screening candidates: A retrospective validation study.Methodological issues in current practice may lead to bias in the development of biomarker combinations for predicting acute kidney injury.Genomic risk models improve prediction of longitudinal lipid levels in children and young adults.
P2860
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P2860
Comparisons of established risk prediction models for cardiovascular disease: systematic review
description
2012 nî lūn-bûn
@nan
2012 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2012 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
name
Comparisons of established ris ...... lar disease: systematic review
@ast
Comparisons of established ris ...... lar disease: systematic review
@en
Comparisons of established ris ...... lar disease: systematic review
@nl
type
label
Comparisons of established ris ...... lar disease: systematic review
@ast
Comparisons of established ris ...... lar disease: systematic review
@en
Comparisons of established ris ...... lar disease: systematic review
@nl
prefLabel
Comparisons of established ris ...... lar disease: systematic review
@ast
Comparisons of established ris ...... lar disease: systematic review
@en
Comparisons of established ris ...... lar disease: systematic review
@nl
P2093
P3181
P356
P1433
P1476
Comparisons of established ris ...... lar disease: systematic review
@en
P2093
George C M Siontis
John P A Ioannidis
Konstantinos C Siontis
P3181
P356
10.1136/BMJ.E3318
P407
P577
2012-05-24T00:00:00Z