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Table 7 Multivariable logistic regression model performance (based on test set)

From: Towards improving the identification of anterior cruciate ligament tears in primary point-of-care settings

Performance Measure

Model 1

(Patient-reported only)

Model 2

(Patient-reported and Clinician-generated)

Accuracy rate (%; 95% CI)

84.0 (77.1,89.5)

94.7 (89.8,97.7)

AUC score

0.86

0.97

Sensitivity (95%CI)

0.59 (0.44,0.74)

0.94 (0.88,0.98)

Specificity (95%CI)

0.95 (0.89,0.98)

0.95 (0.82,0.99)

Positive Predictive Value (95%CI)

0.95 (0.89,0.98)

0.95 (0.82,0.99)

Negative Predictive Value (95%CI)

0.60 (0.44,0.74)

0.94 (0.82,0.99)

Positive Likelihood Ratio (95%CI)

5.53 (2.46,12.44)

9.51 (4.14,21.84)

Negative Likelihood Ratio (95%CI)

0.19 (0.12,0.30)

0.03 (0.01,0.10)

  1. CI confidence interval, AUC area under the curve