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Diagnostic accuracy of midkine on hepatocellular carcinoma: A meta-analysis
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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6786585/ https://www.ncbi.nlm.nih.gov/pubmed/31600291 http://dx.doi.org/10.1371/journal.pone.0223514 |
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author | Zhang, Bo-han Li, Bo Kong, Ling-xiang Yan, Lv-nan Yang, Jia-yin |
author_facet | Zhang, Bo-han Li, Bo Kong, Ling-xiang Yan, Lv-nan Yang, Jia-yin |
author_sort | Zhang, Bo-han |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6786585 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-67865852019-10-19 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 Research Article 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. Public Library of Science 2019-10-10 /pmc/articles/PMC6786585/ /pubmed/31600291 http://dx.doi.org/10.1371/journal.pone.0223514 Text en © 2019 Zhang et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Zhang, Bo-han Li, Bo Kong, Ling-xiang Yan, Lv-nan Yang, Jia-yin Diagnostic accuracy of midkine on hepatocellular carcinoma: A meta-analysis |
title | Diagnostic accuracy of midkine on hepatocellular carcinoma: A meta-analysis |
title_full | Diagnostic accuracy of midkine on hepatocellular carcinoma: A meta-analysis |
title_fullStr | Diagnostic accuracy of midkine on hepatocellular carcinoma: A meta-analysis |
title_full_unstemmed | Diagnostic accuracy of midkine on hepatocellular carcinoma: A meta-analysis |
title_short | Diagnostic accuracy of midkine on hepatocellular carcinoma: A meta-analysis |
title_sort | diagnostic accuracy of midkine on hepatocellular carcinoma: a meta-analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6786585/ https://www.ncbi.nlm.nih.gov/pubmed/31600291 http://dx.doi.org/10.1371/journal.pone.0223514 |
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