Skip to main content

Table 6 Comparisons of AUC between each logistic model with single predictors versus each multivariable logistic model predicting EP vs. non-EP (N = 74)

From: Identification and verification of plasma protein biomarkers that accurately identify an ectopic pregnancy

Predictors

AUC

Std. Error

95% Confidence Interval

Model 1: P-valuea

Model 2: P-valuea

Model 3: P-valuea

Model 4: P-valuea

Model 1: NOTUM + PAEP + PAPPA + PSG2

0.986

0.010

0.967

1.000

Reference

N/A

N/A

N/A

Model 2: ISM2 + PAEP + PAPPA + PSG2

0.980

0.012

0.957

1.000

 N/A

Reference

N/A

N/A

Model 3: ISM2 + PAEP + PAPPA + ADAM12

0.980

0.012

0.957

1.000

 N/A

N/A

Reference

N/A

Model 4: NOTUM + PAEP + PAPPA + ADAM12

0.987

0.010

0.968

1.000

 N/A

N/A

N/A

Reference

ISM2

0.941

0.029

0.885

0.997

0.051

0.071

0.078

0.046

NOTUM

0.939

0.029

0.882

0.996

0.049

0.073

0.078

0.044

PSG8/1

0.936

0.030

0.878

0.993

0.038

0.056

0.061

0.034

PSG2

0.935

0.030

0.877

0.993

0.031

0.035

0.039

0.027

PSG1

0.931

0.031

0.870

0.991

0.030

0.041

0.044

0.027

ADAM12

0.916

0.034

0.849

0.982

0.018

0.022

0.023

0.017

PAEP

0.915

0.042

0.832

0.998

0.081

0.106

0.104

0.081

PSG6/9

0.907

0.035

0.838

0.976

0.009

0.011

0.011

0.008

PSG11

0.897

0.036

0.826

0.968

0.004

0.004

0.005

0.004

PAPPA

0.894

0.039

0.817

0.970

0.012

0.013

0.013

0.011

CGA

0.865

0.043

0.780

0.949

0.003

0.004

0.004

0.003

PSG9

0.857

0.045

0.769

0.945

0.002

0.002

0.002

0.002

PSG3

0.825

0.053

0.722

0.928

0.001

0.002

0.002

0.001

CGB

0.820

0.049

0.723

0.916

0.000

0.001

0.001

0.000

  1. aSingle predictor models vs. multivariable model; N/A: Not applicable