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. 2015 Sep 28;13:317. doi: 10.1186/s12967-015-0674-y

Table 3.

Performance of the new regression equations and ANN models in the external validation data set

Bias (ml/min/1.73 m2) Precision (ml/min/1.73 m2) Accuracy (%)
CKD-EPI −6.00 24.20 80.0
Japanese equation 1 −20.48* 22.43* 54.3*
Japanese equation 2 −30.67*  23.55* 29.5*
New equation 1 −2.49 22.50* 84.8
ANN1 −2.70 21.37* 87.6
New equation 2 −2.88 22.07* 84.8
ANN2 −4.87 20.70* 83.8
New equation 3 −3.97 21.22* 80.0
ANN3 −5.97 20.49* 88.6
New equation 4 −2.23 21.11* 84.8
ANN4 −3.08 19.96* 84.8
New equation 5 −3.97 21.46* 80.0
ANN5 −6.81 22.93* 85.7
New equation 6 −3.19 21.64* 83.8
ANN6 −5.31 25.87* 88.6
New equation 7 −2.91 21.35* 81.9
ANN7 −5.97 22.51* 87.6
New equation 8 −4.48 21.89* 81.9
ANN8 −5.73 22.30* 87.6

CKD-EPI equation Chronic Kidney Disease Epidemiology Collaboration, ANN Artificial neural network

* P < 0.001, P < 0.05 comparing with the CKD-EPI equation