Table 2

Discriminant indices of the MMSE, MoCA, short-MoCA, SDMT and VasCog Screen

TestAUC (95% CI)SENSPECPPVNPVClassification accuracy (%)
MMSE <27/300.74 (0.69 to 0.79)†0.690.790.790.6873.5
MoCA <23/300.76 (0.71 to 0.81)*0.660.860.840.6875.1
short-MoCA <9/120.76 (0.71 to 0.80)†0.660.850.840.6874.9
SDMT0.78 (0.73 to 0.82)0.620.930.910.6876.3
VasCog Screen0.82 (0.78 to 0.86)0.850.800.830.8282.4
  • *P<0.05 when AUC was compared with the VasCog Screen

  • †p<0.001 when AUC was compared with the VasCog Screen

  • ‡According to local norms, impairment in SDMT is defined as <14 and <33 for subjects with primary (≤6) and secondary/tertiary (≥7) years of education, respectively.

  • AUC, area under the curve; CI, cognitive impairment; MMSE, Mini-Mental State Examination; MoCA, Montreal Cognitive Assessment; NPV, negative predictive value; PPV, positive predictive value; SDMT, Symbol Digit Modalities Test; SEN, sensitivity; SPEC, specificity.