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Table 3 AUC and cut-off points of the MoCA, MMSE stratified by gender, education level, and age

From: Improved predictive ability of the Montreal Cognitive Assessment for diagnosing dementia in a community-based study

 

MoCA

MMSE

 

Area

95% CI

Optimal cut-off

Sensitivity

Specificity

Area

95% CI

Optimal cut-off

Sensitivity

Specificity

Total

0.8913

0.83–0.96

23.5

0.78

0.94

0.6976

0.56–0.83

28.5

0.38

0.92

Gender

          

 Men

0.8882

0.79–0.98

22.5

0.84

0.88

0.6717

0.51–0.84

28.5

0.35

1.00

 Women

0.8984

0.81–0.99

23.5

0.76

1.00

0.7317

0.50–0.96

25.5

0.77

0.67

Age (years)

          

 60–69

0.9625

0.90–1.00

23.5

0.84

1.00

0.8925

0.83–0.96

25.5

0.85

1.00

 70–79

0.8244

0.71–0.94

23.5

0.67

0.88

0.6456

0.44–0.85

24.5

0.87

0.38

80

0.8788

0.69–1.00

22.0

0.73

1.00

0.5758

0.19–0.96

28.5

0.27

1.00

Education level

          

 Low

0.9709

0.91–1.00

20.5

0.89

1.00

0.7965

0.60–0.99

24.5

0.79

0.75

 Middle

0.8465

0.75–0.94

23.5

0.80

0.90

0.6290

0.45–0.81

28.5

0.41

0.88

 High

  

22.5

0.92

1.00

  

27.5

0.63

1.00

  1. CI Confidence interval