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Volumn 19, Issue 4, 2011, Pages 225-232

The comparison of cardiovascular risk scores using two methods of substituting missing risk factor data in patient medical records

Author keywords

Cardiovascular disease; Electronic health records; Health inequalities; Primary prevention

Indexed keywords

ARTICLE; BODY MASS; CARDIOVASCULAR DISEASE; COMORBIDITY; COMPARATIVE STUDY; ELECTRONIC MEDICAL RECORD; FEMALE; HEALTH; HEALTH SURVEY; HUMAN; MALE; RISK ASSESSMENT; RISK FACTOR; SOCIOECONOMICS; STATISTICS; UNITED KINGDOM;

EID: 84864562171     PISSN: 14760320     EISSN: None     Source Type: Journal    
DOI: 10.14236/jhi.v19i4.817     Document Type: Article
Times cited : (8)

References (26)
  • 2
    • 47649132354 scopus 로고    scopus 로고
    • Department of Health. Putting Prevention First, Vascular Checks. Department of Health: London
    • Department of Health. Putting Prevention First, Vascular Checks; risk assessment and management. Department of Health: London, 2008.
    • (2008) Risk Assessment and Management
  • 3
    • 77953924886 scopus 로고    scopus 로고
    • Estimating the population impact of screening strategies for identifying and treating people at high risk of cardiovascular disease: Modelling study
    • Chamnan P, Simmons RK, Khaw KT, Wareham NJ and Griffin SJ. Estimating the population impact of screening strategies for identifying and treating people at high risk of cardiovascular disease: modelling study. BMJ 2010;340:c1693.
    • (2010) BMJ , vol.340
    • Chamnan, P.1    Simmons, R.K.2    Khaw, K.T.3    Wareham, N.J.4    Griffin, S.J.5
  • 4
    • 76149126455 scopus 로고    scopus 로고
    • Comparison of mass and targeted screening strategies for cardiovascular risk: Simulation of the effectiveness, cost-effectiveness and coverage using a cross-sectional survey of 3921 people
    • Lawson KD, Fenwick EAL, Pell ACH and Pell JP. Comparison of mass and targeted screening strategies for cardiovascular risk: simulation of the effectiveness, cost-effectiveness and coverage using a cross-sectional survey of 3921 people. Heart 2010;96 (3):208-12.
    • (2010) Heart , vol.96 , Issue.3 , pp. 208-212
    • Lawson, K.D.1    Eal, F.2    Ach, P.3    Pell, J.P.4
  • 5
    • 79251491701 scopus 로고    scopus 로고
    • Implementation of the NHS Health Checks programme: Baseline assessment of risk factor recording in an urban culturally diverse setting
    • Dalton ARH, Bottle A, Okoro C, MajeedAand Millett C. Implementation of the NHS Health Checks programme: baseline assessment of risk factor recording in an urban culturally diverse setting. Family Practice 2011;28 (1):34-40.
    • (2011) Family Practice , vol.28 , Issue.1 , pp. 34-40
    • Arh, D.1    Bottle, A.2    Okoro, C.3    Majeed, A.4    Millett, C.5
  • 6
    • 49949115824 scopus 로고    scopus 로고
    • Accuracy and completeness of electronic patient records in primary care
    • Majeed A, Car J and Sheikh A. Accuracy and completeness of electronic patient records in primary care. Family Practice 2008;25 (4):213-14.
    • (2008) Family Practice , vol.25 , Issue.4 , pp. 213-214
    • Majeed, A.1    Car, J.2    Sheikh, A.3
  • 7
    • 84864530972 scopus 로고    scopus 로고
    • Oberoi. Oberoi Consulting: Derby UK
    • Oberoi. Clinical Observations. Oberoi Consulting: Derby, UK, 2007.
    • (2007) Clinical Observations
  • 8
    • 77952419524 scopus 로고    scopus 로고
    • Missing covariate data in medical research: To impute is better than to ignore
    • Janssen KJ, Donders AR, Harrell FE Jr et al. Missing covariate data in medical research: to impute is better than to ignore. Journal of Clinical Epidemiology 2010; 63 (7):721-7.
    • (2010) Journal of Clinical Epidemiology , vol.63 , Issue.7 , pp. 721-727
    • Janssen, K.J.1    Donders, A.R.2    Harrell Jr., F.E.3
  • 9
    • 0037263771 scopus 로고    scopus 로고
    • Developing a prognostic model in the presence of missing data: An ovarian cancer case study
    • DOI 10.1016/S0895-4356(02)00539-5, PII S0895435602005395
    • Clark TG and Altman DG. Developing a prognostic model in the presence of missing data: an ovarian cancer case study. Journal of Clinical Epidemiology 2003;56 (1): 28-37. (Pubitemid 36183312)
    • (2003) Journal of Clinical Epidemiology , vol.56 , Issue.1 , pp. 28-37
    • Clark, T.G.1    Altman, D.G.2
  • 10
    • 33644810298 scopus 로고    scopus 로고
    • Joint British Societies' guidelines on prevention of cardiovascular disease in clinical practice
    • Joint British Societies (JBS2)
    • Joint British Societies (JBS2). Joint British Societies' guidelines on prevention of cardiovascular disease in clinical practice. Heart 2005;91 (Suppl. 5):v1-52.
    • (2005) Heart , vol.91 , Issue.SUPPL. 5
  • 11
    • 47149088261 scopus 로고    scopus 로고
    • Predicting cardiovascular risk in England and Wales: Prospective derivation and validation of QRISK2
    • DOI 10.1136/bmj.39609.449676.25
    • Hippisley-Cox J, Coupland C, Vinogradova Y et al. Predicting cardiovascular risk in England and Wales: prospective derivation and validation of QRISK2. BMJ 2008;336 (7659):1475-82. (Pubitemid 351977019)
    • (2008) BMJ , vol.336 , Issue.7659 , pp. 1475-1482
    • Hippisley-Cox, J.1    Coupland, C.2    Vinogradova, Y.3    Robson, J.4    Minhas, R.5    Sheikh, A.6    Brindle, P.7
  • 12
    • 34548451124 scopus 로고    scopus 로고
    • Howmany imputations are really needed? Some practical clarifications of multiple imputation theory
    • Graham JW, Olchowski AE and Gilreath TD.Howmany imputations are really needed? Some practical clarifications of multiple imputation theory. Prevention Science 2007;8 (3):206-13.
    • (2007) Prevention Science , vol.8 , Issue.3 , pp. 206-213
    • Graham, J.W.1    Olchowski, A.E.2    Gilreath, T.D.3
  • 14
    • 0026702145 scopus 로고
    • Measures of clinical agreement for nominal and categorical data: The kappa coefficient
    • Cyr L and Francis K. Measures of clinical agreement for nominal and categorical data: the kappa coefficient. Computers in Biology and Medicine 1992;22 (4):239-46.
    • (1992) Computers in Biology and Medicine , vol.22 , Issue.4 , pp. 239-246
    • Cyr, L.1    Francis, K.2
  • 15
    • 33747075407 scopus 로고    scopus 로고
    • The use of cardiovascular risk factor information in practice databases: Making the best of patient data
    • Marshall T. The use of cardiovascular risk factor information in practice databases: making the best of patient data. The British Journal of General Practice 2006; 56 (529):600-5. (Pubitemid 44209983)
    • (2006) British Journal of General Practice , vol.56 , Issue.529 , pp. 600-605
    • Marshall, T.1
  • 16
    • 84858999906 scopus 로고    scopus 로고
    • Risk stratification could reduce costs in primary prevention of cardiovascular disease
    • DaltonARHand Bull RJ. Risk stratification could reduce costs in primary prevention of cardiovascular disease. BMJ 2011;343:d4913.
    • (2011) BMJ , vol.343
    • Dalton, A.R.1    Hand Bull, R.J.2
  • 17
    • 33750613197 scopus 로고    scopus 로고
    • Estimating the value of information in strategies for identifying patients at high risk of cardiovascular disease
    • Marshall T. Estimating the value of information in strategies for identifying patients at high risk of cardiovascular disease. Informatics in Primary Care 2006;14 (2): 85-92. (Pubitemid 44687599)
    • (2006) Informatics in Primary Care , vol.14 , Issue.2 , pp. 85-92
    • Marshall, T.P.1
  • 18
    • 77953921828 scopus 로고    scopus 로고
    • Targeted case finding for cardiovascular prevention
    • Marshall T. Targeted case finding for cardiovascular prevention. BMJ 2010;340:c1376.
    • (2010) BMJ , vol.340
    • Marshall, T.1
  • 19
    • 79959939370 scopus 로고    scopus 로고
    • Using Administrative databases to calculate Framingham scores within a large health care organization
    • Ekundayo OJ, Vassar SD, Williams LS, Bravata DM and Cheng EM. Using Administrative databases to calculate Framingham scores within a large health care organization. Stroke 2011;42 (7):1982-7.
    • (2011) Stroke , vol.42 , Issue.7 , pp. 1982-1987
    • Ekundayo, O.J.1    Vassar, S.D.2    Williams, L.S.3    Bravata, D.M.4    Cheng, E.M.5
  • 20
    • 39149098408 scopus 로고    scopus 로고
    • Identification of patients for clinical risk assessment by prediction of cardiovascular risk using default risk factor values
    • Marshall T. Identification of patients for clinical risk assessment by prediction of cardiovascular risk using default risk factor values. BMC Public Health 2008;8:25.
    • (2008) BMC Public Health , vol.8 , pp. 25
    • Marshall, T.1
  • 21
    • 68249129902 scopus 로고    scopus 로고
    • An independent external validation and evaluation of QRISK cardiovascular risk prediction: A prospective open cohort study
    • Collins GS and Altman DG. An independent external validation and evaluation of QRISK cardiovascular risk prediction: a prospective open cohort study. BMJ 2009; 339:b2584.
    • (2009) BMJ , vol.339
    • Collins, G.S.1    Altman, D.G.2
  • 23
    • 77952344880 scopus 로고    scopus 로고
    • Department of Health, Department of Health: London
    • Department of Health. Economic Modelling for Vascular Checks. Department of Health: London, 2008.
    • (2008) Economic Modelling for Vascular Checks
  • 24
    • 80052275161 scopus 로고    scopus 로고
    • Uptake of the NHS Health Checks programme in a deprived, culturally diverse setting: Cross-sectional study
    • Dalton ARH, Bottle A, Okoro C, MajeedAand Millett C. Uptake of the NHS Health Checks programme in a deprived, culturally diverse setting: cross-sectional study. Journal of Public Health 2011;33 (3):422-9.
    • (2011) Journal of Public Health , vol.33 , Issue.3 , pp. 422-429
    • Dalton, A.R.H.1    Bottle, A.2    Okoro, C.3    Majeed, A.4    Millett, C.5
  • 25
    • 72449189674 scopus 로고    scopus 로고
    • Re-evaluating the Rose approach: Comparative benefits of the population and high-risk preventive strategies
    • Cooney MT, Dudina A, Whincup P et al. Re-evaluating the Rose approach: comparative benefits of the population and high-risk preventive strategies. European Journal of Cardiovascular Prevention and Rehabilitation 2009;16 (5): 541-9.
    • (2009) European Journal of Cardiovascular Prevention and Rehabilitation , vol.16 , Issue.5 , pp. 541-549
    • Cooney, M.T.1    Dudina, A.2    Whincup, P.3
  • 26
    • 77952499794 scopus 로고    scopus 로고
    • Cardiovascular risk assessment - From individual risk prediction to estimation of global risk and change in risk in the population
    • Batsis JA and Lopez-Jimenez F. Cardiovascular risk assessment - from individual risk prediction to estimation of global risk and change in risk in the population. BMC Medicine 2010;8 (1):29.
    • (2010) BMC Medicine , vol.8 , Issue.1 , pp. 29
    • Batsis, J.A.1    Lopez-Jimenez, F.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.