Accuracy Evaluation of Circular RNA in Diagnosing Lung Cancer in a Chinese Population

Table 1

Characteristics of eight studies included in the meta.

Author	Year	circRNAs	Country	Sample type	No. of cases	No. of controls	AUC	Sensitivity	Specificity	Testing method	TNM staging		circRNA expression	References
											I–II	III–IV
Zhu et al.	2017	hsa_circ_0013958	China	Blood	30	30	0.794	0.667	0.933	qRT-PCR	28	21	Upregulated	[24]
Li et al.	2018	hsa_circ_0079530	China	Tissue	92	92	0.756	0.762	0.721	qRT-PCR	—	—	Upregulated	[15]
Zong et al.	2018	circRNAs_102231	China	Tissue	57	57	0.897	0.812	0.887	qRT-PCR	30	27	Upregulated	[16]
Zhang et al.	2018	hsa_circ_0014130	China	Tissue	46	46	0.878	0.87	0.848	qRT-PCR	36	10	Upregulated	[17]
Zhang et al.	2018	circ_FOXO3	China	Tissue	45	45	0.782	0.8	0.733	qRT-PCR	—	—	Downregulated	[18]
Li et al.	2018	circ_PVT1	China	Blood	45	45	0.794	0.711	0.8	qRT-PCR	31	37	Upregulated	[19]
			China	Tissue	68	68	0.803	0.825	0.675	qRT-PCR	31	37	Upregulated
Chen et al.	2019	circRNAs_100146	China	Tissue	40	40	0.643	0.725	0.575	qRT-PCR	—	—	Upregulated	[20]
Liu et al.	2019	hsa_circ_0005962	China	Blood	153	54	0.73	0.719	0.7222	qRT-PCR	96	55	Upregulated	[21]
		hsa_circ_0086414	China	Blood	153	54	0.78	0.7712	0.6667	qRT-PCR	96	55	Downregulated

Note: data not extracted; AUC: area under the receiver operating characteristic curve.