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. 2017 Aug 22;9:278. doi: 10.3389/fnagi.2017.00278

Table 3.

Cut-off points and diagnostic performance of M@T and MMSE to discriminate between AD, aMCI.

Discrimination between early AD and aMCI Discrimination between aMCI and controls Discrimination between early AD and controls
M@T MMSE CDT M@T MMSE CDT M@T MMSE CDT
Optimal cut-off § 26 21 5 35 21 8 29 21 5
Sensitivity 100.00 86.67 100.00 99.17 90.91 95.04 100.00 90.91 100.00
Specificity 97.53 75.31 87.65 91.11 13.33 31.11 98.77 75.31 87.65
Correctly classified (%) 98.41 79.37 92.06 96.99 69.88 77.71 99.50 84.65 95.05
Likelihood ratio + 40.500 3.51 8.10 11.16 1.05 1.38 81.00 3.68 8.10
Likelihood ratio − 0.000 2.07 0.00 0.009 0.68 0.16 0.000 0.12 0.00
Area under 0.9960 0.8278 1.0000 0.9956†‡ 0.6536 0.6869 1.0000 0.8820 1.0000
curve [95% CI] [0.99–1.00] [0.76–0.90] [1.00–1.00] [0.99–1.00] [0.57–0.74] [0.60–0.78] [1.00–1.00] [0.83–0.93] [1.00–1.00]

AD, Alzheimer’s dementia; aMCI, amnestic mild cognitive impairment; MMSE, Mini Mental State of Examination; M@T, Memory Alteration Test; CI, Confidence interval; §Cut-off base on maximum value of correctly classified. Significant difference regarding the MMSE (p-value < 0.05); Significant difference regarding the CDT (p-value < 0.05).