Diagnostic value of vascular endothelial growth factor for malignant pleural effusion: A Meta-analysis

doi:10.3877/cma.j.issn.1674-6902.2017.01.007

Abstract

Abstract:

Objective

To asses the diagnostic value of vascular endothelial growth factor (VEGF) in malignant pleural effusion by Meta-analysis.

Methods

We not only searched Best Evidence, Cochrane library, PubMed, CBM, CNKI , VIP, Wanfang Data et al but also checked online (www.google.cn; www.baidu.com) and traced literature to gather the relevant research literature on VEGF for the diagnosis of malignant pleural effusion from January 2000 to May 2016. Then we used Meta-Disc 1.4 and RevMan 5.3 software for data analysis to evaluate the diagnostic value of VEGF in malignant pleural effusion by calculating the pooled sensitivity, specificity, the likelihood ratio(LR), diagnostic odds ratios (DOR) and conducting summary receiver operating characteristic curve(SROC curve).

Results

Totally 747 articles were searched and finally 10 were included with sample size of 893 cases, including 468 cases of malignant pleural effusion and 425 cases of benign pleural effusion. The summary estimates for VEGF in the diagnosis of MPE were: sensitivity 0.72(95% CI 0.67, 0.76), specificity0.80 (95% CI 0.75, 0.83), positive likelihood ratio 3.81(95% CI 2.40, 6.06), negative likelihood ratio 0.37(95% CI 0.28, 0.48), diagnostic odds ratio 12.79(95% CI 6.33, 25.84) and the SROC area under the curve(AUC) 0.8384.

Conclusions

VEGF in pleural effusion has potential diagnostic value with advanced sensitivity and specificity and it can be used as adjunct tool for non-invasive diagnosis of malignant pleural effusion.

Key words: Vascular endothelial growth factor, Pleural effusion, Diagnosis, Meta-analysis

Xianmeng Chen, Gengyun Sun. Diagnostic value of vascular endothelial growth factor for malignant pleural effusion: A Meta-analysis[J]. Chinese Journal of Lung Diseases(Electronic Edition), 2017, 10(01): 29-34.

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Figures/Tables 8

References 20

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作　者	国家	研究对象	金标准	患者数	截断值(Pg/ml)	TP	FP	FN	TN	检测方法
邱志雄^[6]	China	连续	病理	80	487.8	31	10	9	30	ELISA
赵洪焕^[7]	China	连续	病理	92	250.0	54	7	3	28	ELISA
高俊珍^[8]	China	连续	病理	65	237.7	24	9	8	24	ELISA
Shu J^[9]	China	连续	病理	81	925.9	15	2	17	47	ELISA
Xue K ^[10]	China	连续	病理	87	945.7	34	7	8	38	ELISA
Bao QL^[11]	China	连续	病理	136	2 650.0	31	3	24	57	Real time-PCR
Duysinx BC^[12]	France	连续	病理	103	382.0	44	18	20	21	ELISA
Fiorelli A^[13]	Italy	连续	病理	79	652.0	31	5	18	25	ELISA
Gu Y^[14]	China	连续	病理	65	297.1	28	1	7	29	ELISA
Zhou W^[15]	China	联系	病理	128	1 600.0	44	25	18	39	ELISA

作　者	国家	研究对象	金标准	患者数	截断值(Pg/ml)	TP	FP	FN	TN	检测方法
邱志雄^[6]	China	连续	病理	80	487.8	31	10	9	30	ELISA
赵洪焕^[7]	China	连续	病理	92	250.0	54	7	3	28	ELISA
高俊珍^[8]	China	连续	病理	65	237.7	24	9	8	24	ELISA
Shu J^[9]	China	连续	病理	81	925.9	15	2	17	47	ELISA
Xue K ^[10]	China	连续	病理	87	945.7	34	7	8	38	ELISA
Bao QL^[11]	China	连续	病理	136	2 650.0	31	3	24	57	Real time-PCR
Duysinx BC^[12]	France	连续	病理	103	382.0	44	18	20	21	ELISA
Fiorelli A^[13]	Italy	连续	病理	79	652.0	31	5	18	25	ELISA
Gu Y^[14]	China	连续	病理	65	297.1	28	1	7	29	ELISA
Zhou W^[15]	China	联系	病理	128	1 600.0	44	25	18	39	ELISA

纳入研究	QUADAS条目
纳入研究	1	2	3	4	5	6	7	8	9	10	11	12	13	14
邱志雄^[6]	Y	Y	Y	Y	Y	Y	Y	Y	N	U	Y	U	Y	N
赵洪焕^[7]	Y	Y	Y	Y	Y	Y	Y	Y	N	U	Y	U	Y	N
高俊珍^[8]	Y	Y	Y	Y	Y	Y	Y	Y	N	U	Y	U	Y	N
Shu J^[9]	Y	Y	Y	Y	Y	Y	Y	Y	N	U	Y	U	Y	N
Xue K ^[10]	Y	Y	Y	Y	Y	Y	Y	Y	N	U	Y	U	Y	N
Bao QL^[11]	Y	Y	Y	Y	Y	Y	Y	Y	N	U	Y	U	Y	N
Duysinx BC^[12]	Y	Y	Y	Y	Y	Y	Y	Y	N	U	Y	U	Y	N
Fiorelli A^[13]	Y	Y	Y	Y	Y	Y	Y	Y	N	U	Y	U	Y	N
Gu Y^[14]	Y	Y	Y	Y	Y	Y	Y	Y	N	U	Y	U	Y	N
Zhou W^[15]	Y	Y	Y	Y	Y	Y	Y	Y	N	U	Y	U	Y	N

纳入研究	QUADAS条目
纳入研究	1	2	3	4	5	6	7	8	9	10	11	12	13	14
邱志雄^[6]	Y	Y	Y	Y	Y	Y	Y	Y	N	U	Y	U	Y	N
赵洪焕^[7]	Y	Y	Y	Y	Y	Y	Y	Y	N	U	Y	U	Y	N
高俊珍^[8]	Y	Y	Y	Y	Y	Y	Y	Y	N	U	Y	U	Y	N
Shu J^[9]	Y	Y	Y	Y	Y	Y	Y	Y	N	U	Y	U	Y	N
Xue K ^[10]	Y	Y	Y	Y	Y	Y	Y	Y	N	U	Y	U	Y	N
Bao QL^[11]	Y	Y	Y	Y	Y	Y	Y	Y	N	U	Y	U	Y	N
Duysinx BC^[12]	Y	Y	Y	Y	Y	Y	Y	Y	N	U	Y	U	Y	N
Fiorelli A^[13]	Y	Y	Y	Y	Y	Y	Y	Y	N	U	Y	U	Y	N
Gu Y^[14]	Y	Y	Y	Y	Y	Y	Y	Y	N	U	Y	U	Y	N
Zhou W^[15]	Y	Y	Y	Y	Y	Y	Y	Y	N	U	Y	U	Y	N

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