Predicting the risk of Chronic Kidney Disease in Men and Women in England and Wales: prospective derivation and external validation of the QKidney® Scores

[1]  J. Higaki,et al.  [Chronic renal disease]. , 2011, Nihon Naika Gakkai zasshi. The Journal of the Japanese Society of Internal Medicine.

[2]  H. Young.  Putting prevention first - vascular checks: risk assessment and management , 2010 .

[3]  Carol Coupland,et al.  Predicting risk of osteoporotic fracture in men and women in England and Wales: prospective derivation and validation of QFractureScores , 2009, BMJ : British Medical Journal.

[4]  Gary S Collins,et al.  An independent external validation and evaluation of QRISK cardiovascular risk prediction: a prospective open cohort study , 2009, BMJ : British Medical Journal.

[5]  Aziz Sheikh,et al.  Predicting risk of type 2 diabetes in England and Wales: prospective derivation and validation of QDScore , 2009, BMJ : British Medical Journal.

[6]  Mahboob Rahman,et al.  In the clinic. Chronic kidney disease. , 2009, Annals of internal medicine.

[7]  Heejung Bang,et al.  A simple algorithm to predict incident kidney disease. , 2008, Archives of internal medicine.

[8]  D. Halpin,et al.  Early identification and management of chronic kidney disease: summary of NICE guidance , 2008, BMJ : British Medical Journal.

[9]  S. Chadban,et al.  Socioeconomic disadvantage and kidney disease in the United States, Australia, and Thailand. , 2008, American journal of public health.

[10]  A. Sheikh,et al.  Predicting cardiovascular risk in England and Wales: prospective derivation and validation of QRISK2 , 2008, BMJ : British Medical Journal.

[11]  J. Hippisley-Cox,et al.  Performance of the QRISK cardiovascular risk prediction algorithm in an independent UK sample of patients from general practice: a validation study , 2007, Heart.

[12]  Ewout W Steyerberg,et al.  Imputation is beneficial for handling missing data in predictive models. , 2007, Journal of clinical epidemiology.

[13]  J. Hippisley-Cox,et al.  Derivation and validation of QRISK, a new cardiovascular disease risk score for the United Kingdom: prospective open cohort study , 2007, BMJ : British Medical Journal.

[14]  B. Brenner,et al.  Predicting initiation and progression of chronic kidney disease: Developing renal risk scores. , 2006, Kidney international.

[15]  Theo Stijnen,et al.  Using the outcome for imputation of missing predictor values was preferred. , 2006, Journal of clinical epidemiology.

[16]  B. Davis,et al.  Cardiovascular Outcomes in High-Risk Hypertensive Patients Stratified by Baseline Glomerular Filtration Rate , 2006, Annals of Internal Medicine.

[17]  J. Mindell,et al.  Linking environmental effects to health impacts: a computer modelling approach for air pollution , 2005, Journal of Epidemiology and Community Health.

[18]  Charles E McCulloch,et al.  Chronic kidney disease and the risks of death, cardiovascular events, and hospitalization. , 2004, The New England journal of medicine.

[19]  P. Stevens,et al.  Unreferred chronic kidney disease: a longitudinal study. , 2004, American journal of kidney diseases : the official journal of the National Kidney Foundation.

[20]  Patrick Royston,et al.  A new measure of prognostic separation in survival data , 2004, Statistics in medicine.

[21]  P. Roderick,et al.  A population-based study of the incidence and outcomes of diagnosed chronic kidney disease. , 2003, American journal of kidney diseases : the official journal of the National Kidney Foundation.

[22]  C. Jurkovitz,et al.  Screening for chronic kidney disease: unresolved issues. , 2003, Journal of the American Society of Nephrology : JASN.

[23]  W. McClellan,et al.  Risk factors for progressive chronic kidney disease. , 2003, Journal of the American Society of Nephrology : JASN.

[24]  J. Schafer,et al.  Missing data: our view of the state of the art. , 2002, Psychological methods.

[25]  C. Victora,et al.  Explaining trends in inequities: evidence from Brazilian child health studies , 2000, The Lancet.

[26]  P Royston,et al.  The use of fractional polynomials to model continuous risk variables in epidemiology. , 1999, International journal of epidemiology.

[27]  A. Levey,et al.  A More Accurate Method To Estimate Glomerular Filtration Rate from Serum Creatinine: A New Prediction Equation , 1999, Annals of Internal Medicine.

[28]  P. Jungers,et al.  Late referral to maintenance dialysis: detrimental consequences. , 1993, Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association.

[29]  B. Mcavoy.  Academic medicine: problems and solutions , 1989 .

[30]  ScienceDirect.  American journal of kidney diseases : AJKD : the official journal of the National Kidney Foundation. , 1981 .