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

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.) inde...

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Bibliographic Details
Published in:PloS one 2019-10, Vol.14 (10), p.e0223514-e0223514
Main Authors: Zhang, Bo-Han, Li, Bo, Kong, Ling-Xiang, Yan, Lv-Nan, Yang, Jia-Yin
Format: Article
Language:English
Subjects:
Accuracy
alpha-Fetoproteins - metabolism
Analysis
Biomarkers
Bivariate analysis
Cancer
Carcinoma
Carcinoma, Hepatocellular - diagnosis
Care and treatment
Diagnosis
Diagnostic software
Diagnostic systems
Diagnostic tests
Enzymes
Epidemiology
Female
Gene expression
Hepatocellular carcinoma
Hepatology
Hospitals
Humans
Likelihood ratio
Liver cancer
Liver Neoplasms - diagnosis
Male
Medical diagnosis
Medical research
Medicine and Health Sciences
Meta-analysis
Middle Aged
Midkine
Midkine - metabolism
People and Places
Physical Sciences
Practice guidelines (Medicine)
Quality assessment
Quality control
Research and Analysis Methods
ROC Curve
Sensitivity analysis
Sensitivity and Specificity
Studies
Subgroups
Surgery
Systematic review
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Summary: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.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0223514