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

PLoS One. 2019 Oct 10;14(10):e0223514. doi: 10.1371/journal.pone.0223514. eCollection 2019.

Abstract

Objective: To evaluate the dependability and accuracy of midkine (MK) in the diagnosis of hepatocellular carcinoma (HCC).

Methods: 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.

Results: 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.

Conclusions: MK has an excellent diagnostic value for hepatocellular carcinoma.

Publication types

  • Meta-Analysis
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Carcinoma, Hepatocellular / diagnosis*
  • Female
  • Humans
  • Liver Neoplasms / diagnosis*
  • Male
  • Middle Aged
  • Midkine / metabolism*
  • ROC Curve
  • Sensitivity and Specificity
  • alpha-Fetoproteins / metabolism

Substances

  • alpha-Fetoproteins
  • Midkine

Grants and funding

This study was supported by grants from the 1.3.5 project for disciplines of excellence, West China Hospital, Sichuan University (ZY2017308) and the National Natural Science Foundation of China (No. 81470037 and 81770653). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.