Prediction models for cardiovascular disease risk in the general population: systematic review.
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The Role of Emerging Risk Factors in Cardiovascular OutcomesGraphics and statistics for cardiology: clinical prediction rules.The development and validation of an index to predict 10-year mortality risk in a longitudinal cohort of older English adults.Why do authors derive new cardiovascular clinical prediction rules in the presence of existing rules? A mixed methods study.Risk scoring for the primary prevention of cardiovascular disease.A Systematic Review of Biomarkers and Risk of Incident Type 2 Diabetes: An Overview of Epidemiological, Prediction and Aetiological Research Literature.Clinical prediction in defined populations: a simulation study investigating when and how to aggregate existing modelsImpact of correlation of predictors on discrimination of risk models in development and external populations.7th Brazilian Guideline of Arterial Hypertension: Chapter 3 - Clinical and Complementary AssessmentThe Veterans Affairs Cardiac Risk Score: Recalibrating the Atherosclerotic Cardiovascular Disease Score for Applied Use.Application of a Lifestyle-Based Tool to Estimate Premature Cardiovascular Disease Events in Young Adults: The Coronary Artery Risk Development in Young Adults (CARDIA) Study.Targeting LDL Cholesterol: Beyond Absolute Goals Toward Personalized Risk.Development and validation of a prediction algorithm for the onset of common mental disorders in a working population.Prognostic variables and scores identifying the end of life in COPD: a systematic review.Chronic joint pain and handgrip strength correlates with osteoporosis in mid-life women: a Singaporean cohort.Mendelian randomization for investigating causal roles of biomarkers in multifactorial health outcomes: a lesson from studies on liver biomarkers.What is the relationship between physical activity and cardiovascular risk factors in stroke survivors post completion of rehabilitation? Protocol for a longitudinal study.Early warning scores for detecting deterioration in adult hospital patients: a systematic review protocol.A systematic review of neonatal treatment intensity scores and their potential application in low-resource setting hospitals for predicting mortality, morbidity and estimating resource use.Multiple Score Comparison: a network meta-analysis approach to comparison and external validation of prognostic scores.Predicted 10-year risk of cardiovascular mortality in the 40 to 69 year old general population without cardiovascular diseases in Germany.Single and multiple cardiovascular biomarkers in subjects without a previous cardiovascular event.Assessment of six cardiovascular risk calculators in Mexican mestizo patients with rheumatoid arthritis according to the EULAR 2015/2016 recommendations for cardiovascular risk management.Systematic review of predictive risk models for adverse drug events in hospitalised patients.Risk reduction of long-term major adverse cardiovascular events after endoscopic thoracic sympathectomy in palmar hyperhidrosis.A methodology review on the incremental prognostic value of computed tomography biomarkers in addition to Framingham risk score in predicting cardiovascular disease: the use of association, discrimination and reclassification.Outcomes of non-invasive diagnostic modalities for the detection of coronary artery disease: network meta-analysis of diagnostic randomised controlled trials.Patterns and trends of potentially inappropriate high-density lipoprotein cholesterol testing in Australian adults at high risk of cardiovascular disease from 2008 to 2014: analysis of linked individual patient data from the Australian Medicare BeneAdvanced Morphologic Analysis for Diagnosing Allograft Rejection: The Case of Cardiac Transplant Rejection.Neuromarkers for Mental Disorders: Harnessing Population Neuroscience.Large-scale external validation and comparison of prognostic models: an application to chronic obstructive pulmonary disease.Traditional and Genetic Risk Score and Stroke Risk Prediction in Korea
P2860
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P2860
Prediction models for cardiovascular disease risk in the general population: systematic review.
description
2016 nî lūn-bûn
@nan
2016 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2016 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
name
Prediction models for cardiova ...... population: systematic review.
@ast
Prediction models for cardiova ...... population: systematic review.
@en
Prediction models for cardiova ...... population: systematic review.
@nl
type
label
Prediction models for cardiova ...... population: systematic review.
@ast
Prediction models for cardiova ...... population: systematic review.
@en
Prediction models for cardiova ...... population: systematic review.
@nl
prefLabel
Prediction models for cardiova ...... population: systematic review.
@ast
Prediction models for cardiova ...... population: systematic review.
@en
Prediction models for cardiova ...... population: systematic review.
@nl
P2093
P2860
P50
P921
P356
P1433
P1476
Prediction models for cardiova ...... population: systematic review.
@en
P2093
Corran Roberts
Ewoud Schuit
George C M Siontis
James A Black
Johanna A A G Damen
Karel G M Moons
Linda M Peelen
Lotty Hooft
Michael Maia Schlüssel
Pauline Heus
P2860
P356
10.1136/BMJ.I2416
P407
P50
P5008
P577
2016-05-16T00:00:00Z