Table 1.

Characteristics of the included studies.

Author	Year	Country	microRNAs	Regulation mode	Sample size		Speci-men	Diagnostic power
					MM	Healthy		Sen (%)	Spe (%)	AUC
Single miRNA
Kubiczkova, L.[23]	2014	Czech Republic	let-7d	Downregulated	103	30	Serum	0.641	0.867	0.804
Kubiczkova, L.[23]	2014	Czech Republic	let-7e	Downregulated	103	30	Serum	0.888	0.633	0.829
Li, J.[24]	2020	China	miR-15a-5p	Upregulated	23	18	Serum	0.870	0.610	0.804
Li, F.[25]	2015	China	miR-16–1	Downregulated	90	19	Plasma	1.000	0.730	0.864
Hao, M.[26]	2015	China	miR-19a	Upregulated	108	56	Serum	0.773	0.897	0.910
Qiu, X. Y.[27]	2013	China	miR-20a	Downregulated	40	20	Plasma	0.63	0.85	0.74
Sevcikova, S.[28]	2013	Czech Republic	miR-29a	Upregulated	91	30	Serum	0.880	0.700	0.832
Xu, Y. N.[29]	2017	China	miR-29a	Upregulated	40	20	Serum	0.815	0.722	0.763
Kubiczkova, L.[23]	2014	Czech Republic	miR-34a	Upregulated	103	30	Serum	0.777	0.700	0.790
Yoshizawa, S.[19]	2012	Japan	miR-92a	Downregulated	62	133	Plasma	0.919	0.991	0.981
Hao, M.[26]	2015	China	miR-92a	Upregulated	108	56	Serum	0.724	0.869	0.830
Jiang, Y.[30]	2018	China	miR-125b-5p	Upregulated	35	20	Plasma	0.860	0.960	0.954
Kubiczkova, L.[23]	2014	Czech Republic	miR-130a	Downregulated	103	30	Serum	0.575	0.900	0.722
Li, J.[24]	2020	China	miR-134-5p	Upregulated	23	18	Serum	0.870	0.667	0.812
Hao, M.[26]	2015	China	miR-135b-5p	Upregulated	108	56	Serum	0.667	0.833	0.810
Nidhi Gupta.[21]	2019	Germany	miR-143	Upregulated	30	30	Serum	0.767	0.767	0.854
Nidhi Gupta.[21]	2019	Germany	miR-144	Upregulated	30	30	Serum	0.733	0.733	0.784
Xie, L. L. [31]	2018	China	miR-148a	Upregulated	50	30	Serum	0.760	0.700	0.791
Xu, Y. N.[29]	2017	China	miR-155	Downregulated	40	20	Serum	0.800	0.722	0.862
Nidhi Gupta.[21]	2019	Germany	miR-199	Upregulated	30	30	Serum	0.800	0.800	0.90
Nidhi Gupta.[21]	2019	Germany	miR-203	Upregulated	30	30	Serum	0.833	0.833	0.930
Jiang, Y.[30]	2018	China	miR-490-3p	Upregulated	35	20	Plasma	0.600	0.850	0.866
Cai, L.[32]	2019	China	miR-497	Downregulated	63	50	Serum	0.860	0.960	0.933
Jones, C. I.[33]	2012	UK	miR-720	Upregulated	24	13	Serum	0.872	0.923	0.911
Kubiczkova, L.[23]	2014	Czech Republic	miR-744	Downregulated	103	30	Serum	0.728	0.667	0.715
Jones, C. I.[33]	2012	UK	miR-1308	Downregulated	24	13	Serum	0.821	0.923	0.892
Hao, M.[26]	2015	China	miR-4254	Upregulated	108	56	Serum	0.793	0.985	0.920
Shen, X.[34]	2017	China	miR-4449	Upregulated	71	64	Serum	0.789	0.913	0.885
miRNA cluster
Hao, M.[26]	2015	China	miR-19a + miR-4254	Upregulated	108	56	Serum	0.917	0.905	0.950
Liu, B.[35]	2015	China	miR-21/miR-199b-5p	Upregulated	24	30	Serum	0.960	1.000	0.990
Xu, Y. N.[29]	2017	China	miR-29a/miR-155	Upregulated	40	20	Serum	0.808	0.833	0.874
Kubiczkova, L.[23]	2014	Czech Republic	miR-34a + let-7e	Upregulated	103	30	Serum	0.806	0.867	0.898