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Table 2 Performance assessment of the MPN and other scoring methods for the prediction of MAFLD in the training cohort

From: Development and validation of a new nomogram to screen for MAFLD

Models

AUC (95% CI)

P1values

SEN (95% CI)

SPE (95% CI)

PPV (95% CI)

NPV (95% CI)

Cutoff values

NRI (95% CI)

P2values

IDI (95% CI)

P3values

MPN

0.868 (0.858–0.877)

-

0.863 (0.849–0.887)

0.697 (0.680–0.714)

0.704 (0.687–0.721)

0.859 (0.845–0.874)

0.360

Ref

-

Ref

-

FLI

0.849 (0.838–0.859)

 < 0.001

0.846 (0.832–0.861)

0.686 (0.669–0.703)

0.692 (0.675–0.709)

0.843 (0.828–0.858)

49.652

0.027 (0.009–0.045)

0.004

0.030 (0.007–0.053)

0.012

HSI

0.825 (0.814–0.836)

 < 0.001

0.836 (0.821–0.852)

0.669 (0.651–0.686)

0.678 (0.661–0.695)

0.831 (0.815–0.846)

36.558

0.055 (0.034–0.076)

 < 0.001

0.058 (0.033–0.083)

 < 0.001

VAI

0.732 (0.718–0.746)

 < 0.001

0.711 (0.692–0.729)

0.645 (0.627–0.662)

0.625 (0.607–0.644)

0.728 (0.710–0.745)

1.541

0.204 (0.176–0.232)

 < 0.001

0.189 (0.163–0.215)

 < 0.001

FSI

0.848 (0.838–0.859)

 < 0.001

0.762 (0.744–0.779)

0.770 (0.754–0.786)

0.734 (0.717–0.752)

0.795 (0.780–0.810)

-0.943

0.029 (0.009–0.049)

0.004

0.034 (0.010–0.058)

0.005

ZJU

0.833 (0.822–0.844)

 < 0.001

0.829 (0.814–0.844)

0.685 (0.668–0.703)

0.687 (0.670–0.704)

0.828 (0.813–0.843)

38.727

0.045 (0.024–0.066)

 < 0.001

0.050 (0.025–0.075)

 < 0.001

TyG

0.743 (0.729–0.756)

 < 0.001

0.650 (0.636–0.674)

0.706 (0.689–0.722)

0.650 (0.630–0.669)

0.710 (0.693–0.727)

8.640

0.200 (0.171–0.229)

 < 0.001

0.185 (0.159–0.211)

 < 0.001

  1. 1P values for the difference of AUC between the MPN and other models
  2. 2P values for the difference of NRI between the MPN and other models
  3. 3P values for the difference of IDI between the MPN and other models