Diagnostic accuracy of midkine on hepatocellular carcinoma: A meta-analysis.

Zhang, Bo-Han; Li, Bo; Kong, Ling-Xiang; Yan, Lv-Nan; Yang, Jia-Yin · PLoS One · 2019

meta_analysis · Level I

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Abstract

To evaluate the dependability and accuracy of midkine (MK) in the diagnosis of hepatocellular carcinoma (HCC). PubMed, EMBASE, Web of Science, China Biology Medicine disc and grey literature sources were searched from the date of database inception to January 2019. Two authors (B-H.Z. and B.L.) independently extracted the data and evaluated the study quality using the Quality Assessment of Diagnostic Accuracy Studies-2 tool. The sensitivity, specificity, positive likelihood ratio (LR+) and negative likelihood ratio (LR-) were estimated using a bivariate model. Moreover, hierarchical summary receiver operating characteristic curves were generated. The diagnostic odds ratio (DOR) and area under the curve (AUC) were pooled using a univariate model. Nine articles (11 studies) were included (1941 participants). The bivariate analysis revealed that the sensitivity and specificity of MK for HCC diagnosis were 0.85 (95% CI 0.78-0.91) and 0.83 (95% CI 0.76-0.88), respectively. We also found a LR+ of 5.05 (95% CI 3.33-7.40), a LR- of 0.18 (95% CI 0.11-0.28), a DOR of 31.74 (95% CI 13.98-72.09) and an AUC of 0.91 (95% CI 0.84-0.99). Subgroup analyses showed that MK provided the best efficiency for HCC diagnosis when the cutoff value was greater than 0.5 ng/mL. MK has an excellent diagnostic value for hepatocellular carcinoma.

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