scholarly article | Q13442814 |
P50 | author | George Davey Smith | Q21003878 |
P2093 | author name string | Graham C M Watt | |
Alex McConnachie | |||
Carole L Hart | |||
Mark N Upton | |||
Peter M Brindle | |||
P2860 | cites work | Predictive accuracy of the Framingham coronary risk score in British men: prospective cohort study | Q24630111 |
British Hypertension Society guidelines for hypertension management 2004 (BHS-IV): summary | Q28167733 | ||
A score for predicting risk of death from cardiovascular disease in adults with raised blood pressure, based on individual patient data from randomised controlled trials | Q28343811 | ||
The Black report on socioeconomic inequalities in health 10 years on | Q28392501 | ||
A cross-validation of risk-scores for coronary heart disease mortality based on data from the Glostrup Population Studies and Framingham Heart Study | Q30713072 | ||
Recommendations for the management and treatment of dyslipidemia. Report of the Working Group on Hypercholesterolemia and Other Dyslipidemias | Q34037840 | ||
Estimation of ten-year risk of fatal cardiovascular disease in Europe: the SCORE project | Q34534248 | ||
Should years of schooling be used to guide treatment of coronary risk factors? | Q34628652 | ||
Individual social class, area-based deprivation, cardiovascular disease risk factors, and mortality: the Renfrew and Paisley Study | Q35558352 | ||
Prediction of mortality from coronary heart disease among diverse populations: is there a common predictive function? | Q35580338 | ||
Using the Framingham model to predict heart disease in the United Kingdom: retrospective study | Q37315567 | ||
Cardiorespiratory disease in men and women in urban Scotland: baseline characteristics of the Renfrew/Paisley (midspan) study population | Q39429139 | ||
Risk factors for cardiorespiratory and all cause mortality in men and women in urban Scotland: 15 year follow up. | Q39429144 | ||
Guidelines on preventing cardiovascular disease in clinical practice | Q42766542 | ||
Validation of the Framingham coronary heart disease prediction scores: results of a multiple ethnic groups investigation | Q43742848 | ||
European guidelines on cardiovascular disease prevention in clinical practice. Third Joint Task Force of European and Other Societies on Cardiovascular Disease Prevention in Clinical Practice | Q49154329 | ||
Framingham risk function overestimates risk of coronary heart disease in men and women from Germany—results from the MONICA Augsburg and the PROCAM cohorts | Q52017724 | ||
Cardiovascular disease risk profiles. | Q52461317 | ||
An updated coronary risk profile. A statement for health professionals. | Q52461335 | ||
Are the Framingham and PROCAM coronary heart disease risk functions applicable to different European populations? The PRIME Study | Q57605872 | ||
Joint British recommendations on prevention of coronary heart disease in clinical practice. British Cardiac Society, British Hyperlipidaemia Association, British Hypertension Society, endorsed by the British Diabetic Association | Q63977549 | ||
Influence of pravastatin and plasma lipids on clinical events in the West of Scotland Coronary Prevention Study (WOSCOPS) | Q74519754 | ||
P433 | issue | 520 | |
P921 | main subject | socioeconomics | Q1643441 |
P304 | page(s) | 838-845 | |
P577 | publication date | 2005-11-01 | |
P1433 | published in | British Journal of General Practice | Q15758540 |
P1476 | title | The accuracy of the Framingham risk-score in different socioeconomic groups: a prospective study | |
P478 | volume | 55 |
Q92131893 | A systematic review of reasons for and against asking patients about their socioeconomic contexts |
Q35772791 | Accuracy and impact of risk assessment in the primary prevention of cardiovascular disease: a systematic review |
Q35773156 | Adding social deprivation and family history to cardiovascular risk assessment: the ASSIGN score from the Scottish Heart Health Extended Cohort (SHHEC) |
Q36446843 | Advanced MRI for carotid plaque imaging |
Q36766993 | Application of cardiovascular disease risk prediction models and the relevance of novel biomarkers to risk stratification in Asian Indians |
Q37218645 | Assessment of cardiovascular disease risk in South asian populations |
Q33651672 | Association of cumulative social risk with mortality and adverse cardiovascular disease outcomes |
Q38611359 | Better Indigenous Risk stratification for Cardiac Health study (BIRCH) protocol: rationale and design of a cross-sectional and prospective cohort study to identify novel cardiovascular risk indicators in Aboriginal Australian and Torres Strait Islan |
Q35771476 | By neglecting deprivation, cardiovascular risk scoring will exacerbate social gradients in disease |
Q24657952 | Can non-physician health-care workers assess and manage cardiovascular risk in primary care? |
Q36905510 | Cardiovascular Disease Risk Assessment: Insights from Framingham |
Q35949949 | Cardiovascular risk estimation in 2012: lessons learned and applicability to the HIV population |
Q34683655 | Cardiovascular risk estimation: important but may be inaccurate |
Q63479407 | Cardiovascular risk prediction in India: Comparison of the original and recalibrated Framingham prognostic models in urban populations |
Q36870602 | Cardiovascular risk scores: qualitative study of how primary care practitioners understand and use them |
Q91656701 | Comparison of Cardiovascular Risk Factors among Somalis Living in Norway and Somaliland |
Q42913972 | Deprived people less likely to get treatment to prevent heart disease. |
Q35902547 | Derivation and validation of QRISK, a new cardiovascular disease risk score for the United Kingdom: prospective open cohort study. |
Q36243091 | Development of an Australian cardiovascular disease mortality risk score using multiple imputation and recalibration from national statistics |
Q34452645 | Diagnosing chest pain in general practice |
Q31015584 | Do changes in traditional coronary heart disease risk factors over time explain the association between socio-economic status and coronary heart disease? |
Q40183409 | Does consideration of either psychological or material disadvantage improve coronary risk prediction? Prospective observational study of Scottish men. |
Q93013434 | Educational attainment and cardiovascular disease in the United States: A quasi-experimental instrumental variables analysis |
Q28602638 | 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) |
Q41570080 | High frequency of silent brain infarcts associated with cognitive deficits in an economically disadvantaged population. |
Q36732846 | Impact of socioeconomic deprivation on screening for cardiovascular disease risk in a primary prevention population: a cross-sectional study |
Q40155532 | Individual- and Area-Level SES in Diabetes Risk Prediction: The Multi-Ethnic Study of Atherosclerosis. |
Q39134502 | Life course socioeconomic adversities and 10-year risk of cardiovascular disease: cross-sectional analysis of the Brazilian Longitudinal Study of Adult Health. |
Q37256483 | Mind the gap: difference between Framingham heart age and real age increases with age in HIV-positive individuals-a clinical cohort study |
Q36368487 | Neighborhood socioeconomic status and coronary heart disease risk prediction in a nationally representative sample |
Q34634738 | Normative values and correlates of mean common carotid intima-media thickness in the Korean rural middle-aged population: the Atherosclerosis RIsk of Rural Areas iN Korea General Population (ARIRANG) study. |
Q36230465 | Parental Age of Onset of Cardiovascular Disease as a Predictor for Offspring Age of Onset of Cardiovascular Disease |
Q38896998 | Performance of the Atherosclerotic Cardiovascular Disease Pooled Cohort Risk Equations by Social Deprivation Status |
Q36971620 | Predicting future risk of depressive episode in adolescents: the Chicago Adolescent Depression Risk Assessment (CADRA). |
Q36472407 | Prediction of Cardiovascular Disease Risk by Cardiac Biomarkers in 2 United Kingdom Cohort Studies: Does Utility Depend on Risk Thresholds For Treatment? |
Q33786492 | Prediction of cardiovascular death in racial/ethnic minorities using Framingham risk factors |
Q37045787 | Predictive accuracy of the Liverpool Lung Project risk model for stratifying patients for computed tomography screening for lung cancer: a case-control and cohort validation study |
Q37556106 | Premature Cardiac Aging in South Asian Compared to Afro-Caribbean Subjects in a Community-Based Screening Study |
Q92894297 | Putting the data before the algorithm in big data addressing personalized healthcare |
Q35865528 | Rationale for recommendations for lipid testing and reporting by Australian pathology laboratories. |
Q64065820 | Sedentary lifestyle and Framingham risk scores: a population-based study in Riyadh city, Saudi Arabia |
Q34929293 | Short-term effects of screening for cardiovascular risk in the deaf community: a pilot study |
Q33984096 | Socioeconomic and ethnic disparities in cardiovascular risk in the United States, 2001-2006. |
Q37197977 | Socioeconomic status and coronary heart disease risk prediction |
Q37445491 | Subjective socioeconomic status predicts Framingham cardiovascular disease risk for whites, not blacks |
Q33989516 | The research on endothelial function in women and men at risk for cardiovascular disease (REWARD) study: methodology |
Q42829839 | The value of risk scores |
Q30234498 | Using Predicted Cardiovascular Disease Risk in Conjunction With Blood Pressure to Guide Antihypertensive Medication Treatment |
Q33307064 | Widening access to cardiovascular healthcare: community screening among ethnic minorities in inner-city Britain - the Healthy Hearts Project |
Search more.