Table 4.
A summary of the optimal cut-off scores for the MoCA variants in identifying the baseline diagnoses of mild cognitive impairment or dementia (n=4,606).
| MoCA variant | Maximum score | Overall sample | ≤12 years of education | >12 years of education | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Optimal cut-offa | Se, % |
Sp, % |
Optimal cut-offa | Se, % |
Sp, % |
Optimal cut-offa | Se, % |
Sp, % |
||||
| Original MoCA | 30 | <25 | 84.4 | 76.4 | <22 | 81.5 | 78.2 | <25 | 81.7 | 80.3 | ||
| Roalf (2016) | 16 | <13 | 87.2 | 72.1 | <11 | 81.9 | 78.6 | <13 | 85.2 | 75.6 | ||
| Wong (2015) | 30 | <25 | 84.4 | 73.0 | <23 | 85.3 | 73.0 | <25 | 82.4 | 76.0 | ||
| Horton (2015) | 14 | <12 | 86.6 | 70.1 | <11 | 84.5 | 69.0 | <12 | 85.6 | 72.4 | ||
| Bezdicek (2018) | 16 | <12 | 80.4 | 82.6 | <11 | 84.0 | 74.2 | <13 | 85.9 | 73.7 | ||
| Dong (2016) | 12 | <10 | 86.0 | 69.5 | <9 | 83.8 | 72.2 | <10 | 84.7 | 71.8 | ||
| Bocti (2013) | 10 | <7 | 85.8 | 72.2 | <5 | 81.1 | 77.4 | <7 | 84.0 | 75.7 | ||
| Mai (2013) | 10 | <7 | 81.3 | 79.4 | <6 | 81.9 | 76.2 | <7 | 79.2 | 82.2 | ||
MoCA, Montreal Cognitive Assessment; Se, sensitivity; Sp, specificity.
a
The optimal cut-off score is based on a balance between sensitivity and specificity, with a preference for slightly higher sensitivity to reduce the false negative rates.