Table 3.

Characteristics of studies about microRNA included in the analysis

No	Author	Year	Sample	Type of disease	Biomarker	AUC	Sen	Spe	Youden index	No. Case	No. Control	References
1	Dong	2017	Plasma	AAD	miR-15a	0.7610	0.7570	0.8250	0.582	37	40	[26]
2	Dong	2017	Plasma	AAD	miR-23a	0.7340	0.8650	0.6250	0.490	37	40	[26]
3	Dong	2017	Plasma	AAD	let-7b	0.7290	0.7940	0.6920	0.486	37	40	[26]
4	Dong	2017	Plasma	AAD	hcmv-miR-US-33-5p	0.6570	0.7350	0.6410	0.376	37	40	[26]
5	Wang	2017	Plasma	AAD	miR-4787-5p	0.8980	NP	NP	NP	98	56	[24]
6	Wang	2017	Plasma	AAD	miR-4306	0.8740	NP	NP	NP	98	56	[24]
7	Tian	2019	Serum	AAAD	circMARK3	0.9344	0.9000	0.8670	0.767	30	30	[46]
8	Senturk	2019	Serum	TAD	hsa-miR-143-3p	0.6000	NP	NP	NP	9	10	[47]
9	Senturk	2019	Serum	TAD	hsa-miR-22-3p	0.5000	NP	NP	NP	9	10	[47]
10	Xu	2017	Serum	AAAD	miR-26b	0.9110	0.8800	0.9000	0.780	25	30	[48]
11	Xu	2017	Serum	AAAD	miR-29a	0.8990	0.8000	0.9333	0.733	25	30	[48]
12	Xu	2017	Serum	AAAD	miR-25	0.8810	0.9200	0.7667	0.687	25	30	[48]
13	Xu	2017	Serum	AAAD	miR-155	0.8630	0.8400	0.8333	0.673	25	30	[48]
14	Xu	2017	Serum	AAAD	miR-29a	0.8970	0.7813	0.8621	0.643	64	58	[48]
15	Xu	2017	Serum	AAAD	miR-155	0.8710	0.8438	0.7759	0.620	64	58	[48]
16	Xu	2017	Serum	AAAD	miR-25	0.8570	0.8125	0.7414	0.554	64	58	[48]
17	Xu	2017	Serum	AAAD	miR-26b	0.8030	0.6563	0.8276	0.484	64	58	[48]

AUC, area under the curve of receiver operator characteristics. Sen, sensitivity. Spe, specificity. AAD, acute aortic dissection. AD, aortic dissection. NP, not report