American Journal of Kidney Diseases
Volume 52, Issue 4 , Pages 635-637 , October 2008

Predicting Outcomes in CKD

  • Tobias Kurth, MD, ScD

      Affiliations

    • Corresponding Author InformationAddress correspondence to Tobias Kurth, MD, ScD, Division of Preventive Medicine, Brigham and Women's Hospital, 900 Commonwealth Ave East, 3rd Floor, Boston, MA 02215
    • ,
  • Robert J. Glynn, PhD, ScD

References 

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  5. Cook NR. Statistical evaluation of prognostic vs diagnostic models: Beyond the ROC curve. Clin Chem. 2008;54:17–23
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  7. Levin A, Djurdjev O, Beaulieu M, Er L. Variability and risk factors for kidney disease progression and death following attainment of stage 4 CKD in a referred cohort. Am J Kidney Dis. 2008;52:661–671
  8. 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
  9. Robins JM. Data, design, and background knowledge in etiologic inference. Epidemiology. 2001;12:313–320
  10. Pencina MJ, D'Agostino RB, D'Agostino RB, 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
  11. Cook NR, Buring JE, Ridker PM. The effect of including C-reactive protein in cardiovascular risk prediction models for women. Ann Intern Med. 2006;145:21–29
  12. Zethelius B, Berglund L, Sundstrom J, et al. Use of multiple biomarkers to improve the prediction of death from cardiovascular causes. N Engl J Med. 2008;358:2107–2116
  13. Cook NR. Use and misuse of the receiver operating characteristic curve in risk prediction. Circulation. 2007;115:928–935

PII: S0272-6386(08)01239-0

doi: 10.1053/j.ajkd.2008.08.003

American Journal of Kidney Diseases
Volume 52, Issue 4 , Pages 635-637 , October 2008

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