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Volumn 14, Issue 1, 2013, Pages

Predicting the prevalence of chronic kidney disease in the English population: A cross-sectional study

Author keywords

Association; Cardiovascular disease; Chronic kidney disease; Prevalence; Renal disease; Statistical modelling

Indexed keywords

ADULT; AGE; ARTICLE; CHRONIC KIDNEY DISEASE; CLINICAL TRIAL; CROSS-SECTIONAL STUDY; FEMALE; HUMAN; HYPERTENSION; MAJOR CLINICAL STUDY; MALE; PREDICTION; PREVALENCE; SEX DIFFERENCE; UNITED KINGDOM;

EID: 84874166478     PISSN: None     EISSN: 14712369     Source Type: Journal    
DOI: 10.1186/1471-2369-14-49     Document Type: Article
Times cited : (24)

References (39)
  • 3
    • 84868202278 scopus 로고    scopus 로고
    • Prevalence of chronic kidney disease in England: Findings from the 2009 health survey for England
    • Prevalence of chronic kidney disease in England: findings from the 2009 health survey for England. Roderick P, Roth M, Mindell J, J Epidemiol Commun H 2011 65 Suppl I 12
    • (2011) J Epidemiol Commun H , vol.65 , Issue.SUPPL. I , pp. 112
    • Roderick, P.1    Roth, M.2    Mindell, J.3
  • 10
    • 68749122022 scopus 로고    scopus 로고
    • The QICKD study protocol: A cluster randomised trial to compare quality improvement interventions to lower systolic BP in chronic kidney disease (CKD) in primary care
    • 10.1186/1748-5908-4-39 19602233
    • The QICKD study protocol: a cluster randomised trial to compare quality improvement interventions to lower systolic BP in chronic kidney disease (CKD) in primary care. de Lusignan S, Gallagher H, Chan T, Thomas N, van Vlymen J, Nation M, Jain N, Tahir A, du Bois E, Crinson I, Hague N, Reid F, Harris K, Implement Sci 2009 4 39 http://www.implementationscience.com/content/4/1/39 10.1186/1748-5908-4-39 19602233
    • (2009) Implement Sci , vol.4 , pp. 39
    • De Lusignan, S.1    Gallagher, H.2    Chan, T.3    Thomas, N.4    Van Vlymen, J.5    Nation, M.6    Jain, N.7    Tahir, A.8    Du Bois, E.9    Crinson, I.10    Hague, N.11    Reid, F.12    Harris, K.13
  • 11
    • 77956094053 scopus 로고    scopus 로고
    • Creatinine fluctuation has a greater effect than the formula to estimate glomerular filtration rate on the prevalence of chronic kidney disease
    • Creatinine fluctuation has a greater effect than the formula to estimate glomerular filtration rate on the prevalence of chronic kidney disease. de Lusignan S, Tomson C, Harris K, van Vlymen J, Gallagher H, Nephron Clin Pract 2010 117 213 224
    • (2010) Nephron Clin Pract , vol.117 , pp. 213-224
    • De Lusignan, S.1    Tomson, C.2    Harris, K.3    Van Vlymen, J.4    Gallagher, H.5
  • 14
    • 0033574249 scopus 로고    scopus 로고
    • A more accurate method to estimate glomerular filtration rate from serum creatinine: A new prediction equation
    • A more accurate method to estimate glomerular filtration rate from serum creatinine: a new prediction equation. Levey AS, Bosch JP, Lewis JB, Greene T, Rodgers N, Roth D, Ann Intern Med 1999 130 461 470 10075613 (Pubitemid 29135798)
    • (1999) Annals of Internal Medicine , vol.130 , Issue.6 , pp. 461-470
    • Levey, A.S.1    Bosch, J.P.2    Lewis, J.B.3    Greene, T.4    Rogers, N.5    Roth, D.6
  • 17
    • 79955942280 scopus 로고    scopus 로고
    • Communities and Neigbourhoods London: Department for Communities and Local Government
    • Communities and Neigbourhoods, Indices of Deprivation 2007 London: Department for Communities and Local Government 2007 http://webarchive. nationalarchives.gov.uk/20100410180038/http:/communities.gov.uk/communities/ neighbourhoodrenewal/deprivation/deprivation07/
    • (2007) Indices of Deprivation 2007
  • 18
    • 81855206517 scopus 로고    scopus 로고
    • Disparities in testing for renal function in UK primary care: Cross-sectional study
    • 10.1093/fampra/cmr036 21719474
    • Disparities in testing for renal function in UK primary care: cross-sectional study. de Lusignan S, Nitsch D, Belsey J, Kumarapeli P, Vamos EP, Majeed A, Millett C, Fam Pract 2011 28 6 638 646 10.1093/fampra/cmr036 21719474
    • (2011) Fam Pract , vol.28 , Issue.6 , pp. 638-646
    • De Lusignan, S.1    Nitsch, D.2    Belsey, J.3    Kumarapeli, P.4    Vamos, E.P.5    Majeed, A.6    Millett, C.7
  • 20
    • 0030069896 scopus 로고    scopus 로고
    • Multivariable prognostic models: Issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors
    • DOI 10.1002/(SICI)1097-0258(19960229)15:4<361::AID-SIM168>3.0.CO;2- 4
    • Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors. Harrell F Jr, Lee K, Mark D, Stat Med 1996 15 4 361 387 10.1002/(SICI)1097-0258(19960229)15: 4<361::AID-SIM168>3.0.CO;2-4 8668867 (Pubitemid 26072233)
    • (1996) Statistics in Medicine , vol.15 , Issue.4 , pp. 361-387
    • Harrell Jr., F.E.1    Lee, K.L.2    Mark, D.B.3
  • 21
    • 0022569935 scopus 로고
    • The role of model selection in causal inference from nonexperimental data
    • The role of model selection in causal inference from non-experimental data. Robins J, Greenland S, Am J Epidemiol 1986 123 3 392 402 3946386 (Pubitemid 16101143)
    • (1986) American Journal of Epidemiology , vol.123 , Issue.3 , pp. 392-402
    • Robins, J.M.1    Greenland, S.2
  • 22
    • 68249115783 scopus 로고    scopus 로고
    • College Station, TX: StataCorp LP
    • STATACORP Stata Statistical Software: Release 10 College Station, TX: StataCorp LP 2007 http://www.stata.com/support/faqs/resources/citing-software- documentation-faqs/
    • (2007) STATACORP Stata Statistical Software: Release 10
  • 23
    • 33646501982 scopus 로고    scopus 로고
    • Multiple imputation of missing values: Update of ice
    • Multiple imputation of missing values: update of ice. Royston P, Stata J 2005 5 4 527 536 (Pubitemid 43708457)
    • (2005) Stata Journal , vol.5 , Issue.4 , pp. 527-536
    • Royston, P.1
  • 24
    • 0030613470 scopus 로고    scopus 로고
    • Model selection: An integral part of inference
    • DOI 10.2307/2533961
    • Model selection: an integral part of inference. Buckland ST, Burnham KP, Augustin NH, Biometrics 1997 53 2 603 618 10.2307/2533961 (Pubitemid 27262222)
    • (1997) Biometrics , vol.53 , Issue.2 , pp. 603-618
    • Buckland, S.T.1    Burnham, K.P.2    Augustin, N.H.3
  • 27
    • 79954474987 scopus 로고    scopus 로고
    • External validation of QDSCORE for predicting the 10-year risk of developing type 2 diabetes
    • 10.1111/j.1464-5491.2011.03237.x 21480970
    • External validation of QDSCORE for predicting the 10-year risk of developing type 2 diabetes. Collins GS, Altman GS, Diabetic Med 2011 28 599 607 10.1111/j.1464-5491.2011.03237.x 21480970
    • (2011) Diabetic Med , vol.28 , pp. 599-607
    • Collins, G.S.1    Altman, G.S.2
  • 28
    • 33846894344 scopus 로고    scopus 로고
    • Receiver-operating characteristic analysis for evaluating diagnostic tests and predictive models
    • DOI 10.1161/CIRCULATIONAHA.105.594929, PII 0000301720070206000016
    • Receiver-operating characteristic analysis for evaluating diagnostic tests and predictive models. Zou KH, O'Malley J, Mauri L, Circulation 2007 115 654 657 10.1161/CIRCULATIONAHA.105.594929 17283280 (Pubitemid 46226175)
    • (2007) Circulation , vol.115 , Issue.5 , pp. 654-657
    • Zou, K.H.1    O'Malley, A.J.2    Mauri, L.3
  • 31
    • 33749035484 scopus 로고    scopus 로고
    • Cardiovascular disease risk factors in chronic kidney disease: Overall burden and rates of treatment and control
    • DOI 10.1001/archinte.166.17.1884
    • Cardiovascular disease risk factors in chronic kidney disease: overall burden and rates of treatment and control. Parikh N, Hwang S-J, Larson MJ, Meigs JB, Levy D, Fox CS, Arch Intern Med 2006 166 17 1884 1891 10.1001/archinte.166. 17.1884 17000946 (Pubitemid 44455172)
    • (2006) Archives of Internal Medicine , vol.166 , Issue.17 , pp. 1884-1891
    • Parikh, N.I.1    Hwang, S.-J.2    Larson, M.G.3    Meigs, J.B.4    Levy, D.5    Fox, C.S.6
  • 33
    • 68749119964 scopus 로고    scopus 로고
    • Cardiovascular disease in chronic kidney disease
    • 10.1177/1753944708096379 19124439
    • Cardiovascular disease in chronic kidney disease. Saran AM, DuBose Jnr TD, Ther Adv Cardiovasc Dis 2008 2 6 425 434 10.1177/1753944708096379 19124439
    • (2008) Ther Adv Cardiovasc Dis , vol.2 , Issue.6 , pp. 425-434
    • Saran, A.M.1    Dubose Jnr, T.D.2
  • 36
    • 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
    • Predicting cardiovascular risk in England and Wales: prospective derivation and validation of QRISK2. Hippisley-Cox J, Coupland C, Vinogradova Y, Robson J, Minhas R, Sheikh A, Brindle P, BMJ 2008 336 7659 1475 1482 10.1136/bmj.39609.449676.25 18573856 (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
  • 38
    • 84856917742 scopus 로고    scopus 로고
    • Quality achievement and disease prevalence in primary care predicts regional variation in renal replacement therapy (RRT) incidence: An ecological study
    • 10.1093/ndt/gfr347 21677297
    • Quality achievement and disease prevalence in primary care predicts regional variation in renal replacement therapy (RRT) incidence: an ecological study. Dhoul N, de Lusignan S, Dmitrieva O, Stevens P, O'Donoghue D, Nephrol Dial Transplant 2012 27 2 739 746 10.1093/ndt/gfr347 21677297
    • (2012) Nephrol Dial Transplant , vol.27 , Issue.2 , pp. 739-746
    • Dhoul, N.1    De Lusignan, S.2    Dmitrieva, O.3    Stevens, P.4    O'Donoghue, D.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.