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Table 6 Validation statistics for each models in the THIN and QResearch® validation cohorts

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

   moderate-severe CKD End Stage Kidney Failure
Women THIN cohort   
  R2 statistic (%) 56.19 (55.67 to 56.70) 54.02 (51.67 to 56.37)
  D statistic 2.32 (2.30 to 2.34) 2.22 (2.11 to 2.32)
  ROC statistic 0.875 (0.872 to 0.877) 0.818 (0.803 to 0.833)
  QResearch cohort   
  R2 statistic (%) 56.45 (55.40 to 57.50) 55.39 (0.52.59 to 58.18)
  D statistic 2.33 (2.28 to 2.40) 2.28 (2.15 to 2.41)
  ROC statistic 0.877 (0.873 to 0.880) 0.843 (0.825 to 0.860)
Men THIN cohort   
  R2 statistic (%) 57.41 (54.56 to 60.27) 52.86 (50.55 to 55.17)
  D statistic 2.38 (2.24 to 2.51) 2.17 (2.07 to 2.27)
  ROC statistic 0.875 (0.873 to 0.878) 0.839 (0.827 to 0.850)
  QResearch cohort   
  R2 statistic (%) 58.29 (55.31 to 61.26) 56.65 (53.94 to 59.35)
  D statistic 2.42 (2.28 to 2.56) 2.34 (2.21 to 2.47)
  ROC statistic 0.878 (0.874 to 0.882) 0.846 (0.829 to 0.862)
  1. Notes on understanding validation statistics:
  2. R2 statistic shows explained variation - higher values indicate more variation is explained
  3. ROC statistic is a measure of discrimination - higher values indicate better discrimination
  4. D statistic is a measure of discrimination - higher values indicate better discrimination and an increase of 0.1 or more over other risk prediction models is a good marker of improved prognostic separation