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. 2021 Jul 8;11:698197. doi: 10.3389/fonc.2021.698197

Table 1.

Characteristics of studies and the diagnostic power of miRNAs.

No. Author Country Year Sample size Sample miRNA Expression Diagnostic power
MM HC AUC SENC SPEC
1 Li J (14) China 2020 23 18 serum miR-134-5P 0.812 0.870 0.667
2 serum miR-107 0.766 0.564 0.889
3 serum miR-15a-5p 0.804 0.870 0.610
4 Gupta N (15) India 2019 30 30 serum miR203 0.930 0.833 0.833
5 serum miR143 0.864 0.767 0.767
6 serum miR144 0.784 0.733 0.733
7 serum miR199 0.900 0.800 0.800
8 Shen X (16) China 2017 71 46 serum miR-4449 0.885 0.789 0.913
9 JIANG Y (17) China 2018 35 20 plasma miR-125b-5p 0.954 0.860 0.960
10 plasma miR-490-3p 0.866 0.600 0.850
11 Qu X (18) China 2014 40 20 plasma miR-483-5p 0.745 0.580 0.900
12 plasma miR-20a 0.740 0.630 0.850
13 Kubiczkova L (19) Czech 2013 103 30 serum miR-744 0.715 0.728 0.667
14 serum miR-130a 0.722 0.575 0.900
15 serum miR-34a 0.790 0.777 0.700
16 serum let-7d 0.804 0.641 0.867
17 serum let-7e 0.829 0.888 0.633
18 Yoshizawa S (20) Japan 2011 62 21 plasma miR-92a 0.981 0.919 0.991
19 Jones Cl (21) UK 2012 24 13 serum miR-720 0.911 0.872 0.923
20 serum miR-1308 0.892 0.821 0.923
21 Hao M (22) China 2015 108 56 Serum miR-4254 0.926 0.793 0.985
22 Serum miR-19a 0.910 0.773 0.897
23 Serum miR-92a 0.830 0.724 0.869
24 Serum miR-135b-5p 0.810 0.667 0.833
25 Serum miR-214-3p 0.720 0.625 0.833
26 Serum miR-3658 0.720 0.714 0.667
27 Serum miR-33b 0.630 0.633 0.815
28 Y u J (13) China 2014 40 30 serum miR-202 0.711 0.800 0.600
29 Sevcikova S (23) Czech 2013 91 30 Serum miR-29a 0.832 0.880 0.700
miRNA cluster
30 Kubiczkova L (19) Czech 2013 103 30 serum miR-34a+let7e N/A 0.898 0.806 0.867
31 Jones Cl (21) UK 2014 24 13 serum miR-1308/miR-720 N/A 0.986 0.974 0.923
32 Hao M (22) China 2015 108 56 Serum miR-4254/miR-19a N/A 0.950 0.917 0.905

AUC, area under the curve; HC, health control; MM, multiple myeloma; N/A, Not applicable; SENS, sensitivity; SPEC, specificity; ↑, increase; ↓, decrease.