First author | Year | Country | Ethnicity | Case | Control | miRNA combinations | Sample source | Methods | AUC | Sensitivity | Specificity | QUADAS | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
M | F | N | Age | M | F | N | Age | |||||||||||
Huang [27] | 2010 | China | Asian | 51 | 49 | 100 | 61 | 31 | 28 | 59 | 58 | miR-29a, miR-92a | Plasma | RT-PCR | 0.883 | 0.83 | 0.85 | 3 |
Wang [36] | 2012 | China | Asian | NA | NA | 90 | NA | NA | NA | 58 | NA | miR-29a, miR-92a, miR-760 | Plasma | RT-PCR | 0.943 | 0.83 | 0.93 | 5 |
Luo [29] | 2013 | Germany | Caucasian | 45 | 35 | 80 | 68 | 60 | 84 | 144 | 62.5 | miR-29a, miR-92a, miR-18a, miR-20a, miR-21, miR-106b, miR-133a, miR-143, miR-145, miR-342-3p, miR-532-3p, miR-181b | Plasma | RT-PCR | 0.745 | 0.72 | 0.75 | 4 |
Yamada [35] | 2015 | Japan | Asian | 93 | 43 | 136 | 68 | 23 | 29 | 52 | 58 | miR-29a, miR-21, miR-125b | Serum | RT-PCR | 0.826 | 0.74 | 0.85 | 3 |
Liu [33] | 2018 | China | Asian | 51 | 34 | 85 | 59.5 | 48 | 30 | 78 | 34.8 | miR-29a, miR-92a | Serum | RT-PCR | 0.876 | 0.73 | 0.94 | 5 |
Liu [33] | 2018 | China | Asian | 51 | 34 | 85 | 59.5 | 48 | 30 | 78 | 34.8 | miR-29a, miR-92a, miR-21, miR-125b | Serum | RT-PCR | 0.952 | 0.85 | 0.99 | 5 |