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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