Table 2.
Characteristics of studies used in the diagnostic accuracy meta-analysis.
Study | CU sample size | CU age | aMCI sample size | aMCI age | AUC ± SE | Cutoff score |
---|---|---|---|---|---|---|
Ahmed et al. (2012) | 20 | 77.4 ± 4.0 | 15 | 80.9 ± 7.2 | 0.89 ± 0.05 | 23 |
Cecato et al. (2017) | 39 | 71.6 ± 6.9 | 44 | 76.7 ± 7.0 | 0.93 ± 0.03 | 24 |
Clarnette et al. (2017) | 41 | nr | 72 | nr | 0.94 ± 0.02 | 23 |
Cummings-Vaughn et al. (2014) | 51 | 77 ± 7.5 | 57 | 78.8 ± 6.7 | 0.77 ± 0.05 | 24 |
Dautzenberg et al. (2020) | 459 | 71.3 ± 7.3 | 153 | 73.9 ± 8 | 0.70 ± 0.02 | 21 |
Delgado et al. (2019) | 104 | 72.3 ± 5.4 | 24 | 75.3 ± 7.8 | 0.90 ± 0.03 | 21 |
Dong et al. (2013) | 128 | 67.4 ± 4.8 | 83 | 74.3 ± 5.5 | 0.94 ± 0.02 | 24 |
Freitas et al. (2013) | 90 | 69.6 ± 7.1 | 90 | 70.5 ± 8.0 | 0.86 ± 0.01 | 22 |
Fujiwara et al. (2010) | 36 | 76.4 ± 3.3 | 30 | 77.3 ± 6.3 | 0.95 ± 0.03 | 25 |
Goldstein et al. (2014) | 16 | 65.8 ± 7.7 | 38 | 71.9 ± 8.9 | 0.81 ± 0.06 | 24 |
Hemrungrojn et al. (2021) | 60 | 67.9 ± 6.4 | 61 | 72.1 ± 7.0 | 0.81 ± 0.04 | 24 |
Julayanont et al. (2015) | 43 | 66.6 ± 6.7 | 42 | 70.2 ± 6.6 | 0.90 ± 0.03 | 25 |
Kaya et al. (2014) | 246 | 68.0 ± 10.3 | 114 | 74.2 ± 8.8 | 0.85 ± 0.02 | nr |
Larner (2012) | 85 | nr | 29 | nr | 0.91 ± 0.02 | 20 |
Lee et al. (2018) | 35 | 73.6 ± 6.4 | 36 | 76.2 ± 7.4 | 0.94 ± 0.03 | nr |
Li et al. (2018) | 53 | 70.2 ± 9.1 | 56 | 75.2 ± 7.1 | 0.82 ± 0.07 | 24 |
Liew et al. (2015) | 146 | 64.9 ± 7.0 | 41 | 71.8 ± 6.7 | 0.77 ± 0.05 | 25 |
Liu et al. (2021) | 50 | 68.0 ± 8.2 | 50 | 76.7 ± 10.8 | 0.74 ± 0.05 | 23 |
Lu et al. (2011) | 6,283 | 72.0 | 1,687 | 75.1 | 0.90 ± 0.005 | 25 |
Malek-Ahmadi et al. (2014) | 73 | 82.6 ± 7.7 | 39 | 80.5 ± 8.4 | 0.71 ± 0.05 | nr |
Masika et al. (2021) | 19 | 69.3 ± 5.8 | 42 | 70.4 ± 8.0 | 0.69 ± 0.07 | 19 |
Mellor et al. (2016) | 708 | 72.5 ± 8.4 | 267 | 76.5 ± 7.7 | 0.90 ± 0.01 | 24 |
Memória et al. (2013) | 28 | 72.5 ± 5.3 | 30 | 74.7 ± 5.7 | 0.82 ± 0.06 | nr |
Ng et al. (2015) | 88 | nr | 46 | nr | 0.50 ± 0.05 | nr |
O’Caoimh et al. (2016) | 101 | nr | 103 | nr | 0.84 ± 0.06 | 24 |
Pan et al. (2022) | 431 | 66.5 ± 9.3 | 285 | 72.1 ± 10.5 | 0.92 ± 0.01 | 23 |
Paterson et al. (2022) | 40 | 74.0 ± 7.0 | 51 | 75.0 ± 5.7 | 0.71 ± 0.05 | nr |
Peixoto et al. (2018) | 30 | 68.6 ± 6.2 | 30 | 67.2 ± 9.3 | 0.78 ± 0.05 | 22 |
Pinto et al. (2019a,b) | 110 | nr | 88 | nr | 0.95 ± 0.02 | nr |
Roalf et al. (2013) | 140 | 71.2 ± 9.2 | 126 | 72.3 ± 8.1 | 0.73 ± 0.06 | nr |
Rodríguez-Salgado et al. (2021) | 53 | 70.4 ± 5.9 | 46 | 72.7 ± 7.5 | 0.73 ± 0.06 | nr |
Rossetti et al. (2019) | 45 | 62.3 ± 6.8 | 90 | 64.8 ± 5.9 | 0.83 ± 0.04 | 24 |
Senda et al. (2020) | 50 | 64.9 ± 12.0 | 94 | 73.5 ± 8.3 | 0.83 ± 0.04 | nr |
Serrano et al. (2020) | 155 | 71.5 ± 6.2 | 158 | 72.6 ± 6.3 | 0.88 ± 0.02 | 25 |
Thomann et al. (2020) | 283 | 73.8 ± 5.2 | 159 | 76.0 ± 6.0 | 0.86 ± 0.01 | 25 |
Townley et al. (2019) | 313 | 81.7 ± 5.0 | 114 | 84 ± 5.2 | 0.85 ± 0.02 | 24 |
Tsai et al. (2016) | 26 | nr | 59 | nr | 0.91 ± 0.03 | 27 |
Yeung et al. (2014) | 49 | 73.6 ± 7.6 | 49 | 76.5 ± 7.5 | 0.84 ± 0.04 | 21 |
Yu et al. (2012) | 865 | 70.4 ± 7.1 | 115 | 71.5 ± 7.3 | 0.71 ± 0.02 | 21 |
Zhou et al. (2014) | 148 | 67.7 ± 7.2 | 24 | 67.2 ± 6.6 | 0.72 ± 0.10 | 26 |
CU, cognitively unimpaired; MCI, mild cognitive impairment; AUC, area under the curve; SE, standard error; nr, not reported.