Table 1 Baseline characteristics of the included studies.
Study (year) | Country | Sample size | Age | Gender (male/female) | TP | FP | FN | TN | Sensitivity (%) | Specificity (%) | (Refs) | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
HGM | LGM | |||||||||||
Zhu (2019) | China | 13 | 69 | 57.37 ± 12.30 | 23/59 | 11 | 14 | 2 | 55 | 0.846 | 0.797 | |
Yang (2022) | China | 10 | 17 | – | – | 9 | 1 | 1 | 16 | 0.9 | 0.924 | |
Duan (2022) | China | 94 | 94 | HGM:56.28 ± 12.56; LGM:54.16 ± 10.10 | HGM:44/50; LGM:17/77 | 80 | 15 | 14 | 79 | 0.85 | 0.87 | |
Laukamp (2019) | Germany, USA | 25 | 46 | 60.2 ± 13.6 | 31/40 | 20 | 5 | 5 | 41 | 0.79 | 0.89 | |
Hamerla (2019) | Germany | 45 | 102 | 61.9 ± 12.0 | 39/108 | 45 | 3 | 0 | 99 | 1 | 0.97 | |
Park (2022) | Korea | 15 | 46 | HGM:56.73 ± 19.25; LGM:55.13 ± 13.61 | HGM:5/10; LGM:15/31 | 13 | 14 | 2 | 32 | 0.846 | 0.698 | |
Chen (2022) | China | 33 | 31 | Median: 49 (13–78) | 27/37 | 29 | 6 | 4 | 25 | 0.88 | 0.81 | |
Ke (2019) | China | 19 | 60 | HGM:47.05 ± 15.13; LGM:50.17 ± 12.04 | HGM:7/12; LGM:19/41 | 16 | 13 | 3 | 47 | 0.84 | 0.78 | |
Cai (2023) | China | 31 | 129 | HGM:64.58 ± 13.38; LGM:62.33 ± 10.35 | HGM:16/15; LGM:43/86 | 20 | 23 | 11 | 106 | 0.63 | 0.82 | |
She (2023) | China | 31 | 91 | HGM:56.35 ± 11.93; LGM:55.26 ± 12.23 | HGM:10/21; LGM:20/71 | 29 | 27 | 2 | 64 | 0.94 | 0.7 | |
Morin (2019) | USA | 18 | 67 | Median: 59 (18–89) | 31/84 | 8 | 13 | 10 | 54 | 0.46 | 0.81 | |
Hu (2020) | China | 87 | 229 | HGM:52.22 ± 12.63; LGM:53.29 ± 10.98 | HGM:37/50; LGM:54/175 | 47 | 18 | 40 | 211 | 0.54 | 0.926 | |
Han (2020) | China | 10 | 17 | 52.27 ± 11.30 | 11/16 | 9 | 1 | 1 | 16 | 0.87 | 0.92 | |
Zhao (2023) | China | 22 | 120 | 52.6 ± 11.3 | 42/100 | 17 | 7 | 5 | 113 | 0.773 | 0.942 | |
Park (2023) | Korea | 15 | 33 | Mean:54.9 | 11/37 | 11 | 9 | 4 | 24 | 0.73 | 0.73 | |
Chen (2023) | China | 27 | 127 | 52.47 ± 12.53 | 55/99 | 14 | 35 | 13 | 92 | 0.518 | 0.724 | |
Han (2023) | China | 36 | 128 | 53.18 ± 11.35 | 46/118 | 30 | 28 | 6 | 100 | 0.829 | 0.783 | |
Guo (2022) | China | 39 | 49 | HGM:median 65; LGM:median 54 | HGM:15/24; LGM:14/35 | 32 | 8 | 7 | 41 | 0.8205 | 0.8367 | |
Cao (2022) | China | 12 | 57 | HGM:mean 60; LGM:mean 55 | HGM:6/6; LGM:9/48 | 9 | 7 | 3 | 50 | 0.75 | 0.8772 | |
Yan (2017) | China | 21 | 110 | 52.89 ± 9.00 | HGM:10/11; LGM:29/81 | 18 | 14 | 3 | 96 | 0.86 | 0.87 | |
Chu (2020) | China | 4 | 24 | – | – | 4 | 0 | 0 | 24 | 0.917 | 1 | |