메뉴 건너뛰기




Volumn 21, Issue 6, 2012, Pages 612-618

Risk prediction in chronic kidney disease: Pitfalls and caveats

Author keywords

all cause mortality; chronic kidney disease; kidney failure; risk prediction

Indexed keywords

CREATININE;

EID: 84868213179     PISSN: 10624821     EISSN: 14736543     Source Type: Journal    
DOI: 10.1097/MNH.0b013e328359072f     Document Type: Review
Times cited : (34)

References (26)
  • 1
    • 4644221457 scopus 로고    scopus 로고
    • Chronic kidney disease and the risks of death, cardiovascular events, and hospitalization
    • Go AS, Chertow GM, Fan D, et al. Chronic kidney disease and the risks of death, cardiovascular events, and hospitalization. N Engl J Med 2004; 351:1296-1305.
    • (2004) N Engl J Med , vol.351 , pp. 1296-1305
    • Go, A.S.1    Chertow, G.M.2    Fan, D.3
  • 2
    • 34547461117 scopus 로고    scopus 로고
    • Chronic kidney disease as a global public health problem: Approaches and initiatives - A position statement from Kidney Disease Improving Global Outcomes
    • Levey AS, Atkins R, Coresh J, et al. Chronic kidney disease as a global public health problem: approaches and initiatives-a position statement from Kidney Disease Improving Global Outcomes. Kidney Int 2007; 72:247-259.
    • (2007) Kidney Int , vol.72 , pp. 247-259
    • Levey, A.S.1    Atkins, R.2    Coresh, J.3
  • 3
    • 0030069896 scopus 로고    scopus 로고
    • Multivariable prognostic models: Issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors
    • Harrell FE Jr, Lee KL, Mark DB. Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors. Stat Med 1996; 15:361-387.
    • (1996) Stat Med , vol.15 , pp. 361-387
    • Harrell Jr., F.E.1    Lee, K.L.2    Mark, D.B.3
  • 5
    • 78751691356 scopus 로고    scopus 로고
    • A before-and-after study of fracture risk reporting and osteoporosis treatment initiation
    • Leslie WD, Morin S, Lix LM. A before-and-after study of fracture risk reporting and osteoporosis treatment initiation. Ann Intern Med 2010; 153:580-586.
    • (2010) Ann Intern Med , vol.153 , pp. 580-586
    • Leslie, W.D.1    Morin, S.2    Lix, L.M.3
  • 6
    • 84859006522 scopus 로고    scopus 로고
    • Estimating treatment effects for individual patients based on the results of randomised clinical trials
    • Dorresteijn JA, Visseren FL, Ridker PM, et al. Estimating treatment effects for individual patients based on the results of randomised clinical trials. BMJ 2011; 343:d5888.
    • (2011) BMJ , vol.343
    • Dorresteijn, J.A.1    Visseren, F.L.2    Ridker, P.M.3
  • 7
    • 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, Lopez-Jimenez F. Cardiovascular risk assessment: from individual risk prediction to estimation of global risk and change in risk in the population. BMC Med 8:29.
    • BMC Med , vol.8 , pp. 29
    • Batsis, J.A.1    Lopez-Jimenez, F.2
  • 8
    • 79551584741 scopus 로고    scopus 로고
    • Classification of chronic kidney disease: A step forward
    • Levey AS, Tangri N, Stevens LA. Classification of chronic kidney disease: a step forward. Ann Intern Med 2011; 154:65-67.
    • (2011) Ann Intern Med , vol.154 , pp. 65-67
    • Levey, A.S.1    Tangri, N.2    Stevens, L.A.3
  • 9
    • 0031983412 scopus 로고    scopus 로고
    • An artificial neural network can select patients at high risk of developing progressive IgA nephropathy more accurately than experienced nephrologists
    • Geddes CC, Fox JG, Allison ME, et al. An artificial neural network can select patients at high risk of developing progressive IgA nephropathy more accurately than experienced nephrologists. Nephrol Dial Transplant 1998; 13:67-71.
    • (1998) Nephrol Dial Transplant , vol.13 , pp. 67-71
    • Geddes, C.C.1    Fox, J.G.2    Allison, M.E.3
  • 10
    • 58549103311 scopus 로고    scopus 로고
    • Predicting technique survival in peritoneal dialysis patients: Comparing artificial neural networks and logistic regression
    • Tangri N, Ansell D, Naimark D. Predicting technique survival in peritoneal dialysis patients: comparing artificial neural networks and logistic regression. Nephrol Dial Transplant 2008; 23:2972-2981.
    • (2008) Nephrol Dial Transplant , vol.23 , pp. 2972-2981
    • Tangri, N.1    Ansell, D.2    Naimark, D.3
  • 11
    • 33847109797 scopus 로고    scopus 로고
    • Use and misuse of the receiver operating characteristic curve in risk prediction
    • Cook NR. Use and misuse of the receiver operating characteristic curve in risk prediction. Circulation 2007; 115:928-935.
    • (2007) Circulation , vol.115 , pp. 928-935
    • Cook, N.R.1
  • 12
    • 73849094087 scopus 로고    scopus 로고
    • Assessing the performance of prediction models: A framework for traditional and novel measures
    • Steyerberg EW, Vickers AJ, Cook NR, et al. Assessing the performance of prediction models: a framework for traditional and novel measures. Epidemiology 21:128-138.
    • Epidemiology , vol.21 , pp. 128-138
    • Steyerberg, E.W.1    Vickers, A.J.2    Cook, N.R.3
  • 13
    • 38849091997 scopus 로고    scopus 로고
    • Evaluating the added predictive ability of a new marker: From area under the ROC curve to reclassification and beyond
    • Pencina MJ, D'Agostino RB Sr, D'Agostino RB Jr, Vasan RS. Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond. Stat Med 2008; 27:157-172.
    • (2008) Stat Med , vol.27 , pp. 157-172
    • Pencina, M.J.1    D'Agostino Sr., R.B.2    D'Agostino Jr., R.B.3    Vasan, R.S.4
  • 14
    • 78649477601 scopus 로고    scopus 로고
    • Extensions of net reclassification improvement calculations to measure usefulness of new biomarkers
    • Pencina MJ, D'Agostino RB Sr, Steyerberg EW. Extensions of net reclassification improvement calculations to measure usefulness of new biomarkers. Stat Med 2011; 30:11-21.
    • (2011) Stat Med , vol.30 , pp. 11-21
    • Pencina, M.J.1    D'Agostino Sr., R.B.2    Steyerberg, E.W.3
  • 15
    • 0031006441 scopus 로고    scopus 로고
    • A comparison of goodness-of-fit tests for the logistic regression model
    • Hosmer DW, Hosmer T, Le Cessie S, Lemeshow S. A comparison of goodness-of-fit tests for the logistic regression model. Stat Med 1997; 16:965-980.
    • (1997) Stat Med , vol.16 , pp. 965-980
    • Hosmer, D.W.1    Hosmer, T.2    Le Cessie, S.3    Lemeshow, S.4
  • 16
    • 0037250090 scopus 로고    scopus 로고
    • A proposal for electronic medical records in U.S. primary care
    • Bates DW, Ebell M, Gotlieb E, et al. A proposal for electronic medical records in U.S. primary care. J Am Med Inform Assoc 2003; 10:1-10.
    • (2003) J Am Med Inform Assoc , vol.10 , pp. 1-10
    • Bates, D.W.1    Ebell, M.2    Gotlieb, E.3
  • 17
    • 27644565865 scopus 로고    scopus 로고
    • Can electronic medical record systems transform healthcare? Potential health benefits, savings, and costs
    • Hillestad R, Bigelow J, Bower A, et al. Can electronic medical record systems transform healthcare? Potential health benefits, savings, and costs. Health Aff (Millwood) 2005; 24:1103-1117.
    • (2005) Health Aff (Millwood) , vol.24 , pp. 1103-1117
    • Hillestad, R.1    Bigelow, J.2    Bower, A.3
  • 18
    • 0035725863 scopus 로고    scopus 로고
    • Using an electronic medical record to identify opportunities to improve compliance with cholesterol guidelines
    • Maviglia SM, Teich JM, Fiskio J, Bates DW. Using an electronic medical record to identify opportunities to improve compliance with cholesterol guidelines. J Gen Intern Med 2001; 16:531-537.
    • (2001) J Gen Intern Med , vol.16 , pp. 531-537
    • Maviglia, S.M.1    Teich, J.M.2    Fiskio, J.3    Bates, D.W.4
  • 19
    • 77951660833 scopus 로고    scopus 로고
    • Barriers to routine risk-score use for healthy primary care patients: Survey and qualitative study
    • Muller-Riemenschneider F, Holmberg C, Rieckmann N, et al. Barriers to routine risk-score use for healthy primary care patients: survey and qualitative study. Arch Intern Med 170:719-724.
    • Arch Intern Med , vol.170 , pp. 719-724
    • Muller-Riemenschneider, F.1    Holmberg, C.2    Rieckmann, N.3
  • 20
    • 34648828454 scopus 로고    scopus 로고
    • Predicting renal replacement therapy and mortality in CKD
    • Johnson ES, Thorp ML, Yang X, et al. Predicting renal replacement therapy and mortality in CKD. Am J Kidney Dis 2007; 50:559-565.
    • (2007) Am J Kidney Dis , vol.50 , pp. 559-565
    • Johnson, E.S.1    Thorp, M.L.2    Yang, X.3
  • 21
    • 52049097890 scopus 로고    scopus 로고
    • Predicting the risk of dialysis and transplant among patients with CKD: A retrospective cohort study
    • Johnson ES, Thorp ML, Platt RW, Smith DH. Predicting the risk of dialysis and transplant among patients with CKD: a retrospective cohort study. Am J Kidney Dis 2008; 52:653-660.
    • (2008) Am J Kidney Dis , vol.52 , pp. 653-660
    • Johnson, E.S.1    Thorp, M.L.2    Platt, R.W.3    Smith, D.H.4
  • 22
    • 33750601713 scopus 로고    scopus 로고
    • Risk scores for predicting outcomes in patients with type 2 diabetes and nephropathy: The RENAAL study
    • Keane WF, Zhang Z, Lyle PA, et al. Risk scores for predicting outcomes in patients with type 2 diabetes and nephropathy: the RENAAL study. Clin J Am Soc Nephrol 2006; 1:761-767.
    • (2006) Clin J Am Soc Nephrol , vol.1 , pp. 761-767
    • Keane, W.F.1    Zhang, Z.2    Lyle, P.A.3
  • 23
    • 70349501695 scopus 로고    scopus 로고
    • A scoring system to predict renal outcome in IgA nephropathy: A nationwide 10-year prospective cohort study
    • Goto M, Wakai K, Kawamura T, et al. A scoring system to predict renal outcome in IgA nephropathy: a nationwide 10-year prospective cohort study. Nephrol Dial Transplant 2009; 24:3068-3074.
    • (2009) Nephrol Dial Transplant , vol.24 , pp. 3068-3074
    • Goto, M.1    Wakai, K.2    Kawamura, T.3
  • 24
    • 79955015634 scopus 로고    scopus 로고
    • A predictive model for progression of chronic kidney disease to kidney failure
    • Tangri N, Stevens LA, Griffith J, et al. A predictive model for progression of chronic kidney disease to kidney failure. JAMA 2011; 305:1553-1559.
    • (2011) JAMA , vol.305 , pp. 1553-1559
    • Tangri, N.1    Stevens, L.A.2    Griffith, J.3
  • 25
    • 34447105854 scopus 로고    scopus 로고
    • The Framingham predictive instrument in chronic kidney disease
    • Weiner DE, Tighiouart H, Elsayed EF, et al. The Framingham predictive instrument in chronic kidney disease. J Am Coll Cardiol 2007; 50:217-224.
    • (2007) J Am Coll Cardiol , vol.50 , pp. 217-224
    • Weiner, D.E.1    Tighiouart, H.2    Elsayed, E.F.3
  • 26
    • 20144387681 scopus 로고    scopus 로고
    • Cardiovascular mortality risk in chronic kidney disease: Comparison of traditional and novel risk factors
    • Shlipak MG, Fried LF, Cushman M, et al. Cardiovascular mortality risk in chronic kidney disease: comparison of traditional and novel risk factors. JAMA 2005; 293:1737-1745.
    • (2005) JAMA , vol.293 , pp. 1737-1745
    • Shlipak, M.G.1    Fried, L.F.2    Cushman, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.