Diagnostic value of Midkine and AFP in the detection of hepatocellular carcinoma: A systematic review and meta-analysis.

AFP Alpha fetoprotein Hepatocellular carcinoma Midkine

Journal

Caspian journal of internal medicine
ISSN: 2008-6164
Titre abrégé: Caspian J Intern Med
Pays: Iran
ID NLM: 101523876

Informations de publication

Date de publication:
2024
Historique:
received: 23 04 2023
accepted: 07 08 2023
medline: 3 10 2024
pubmed: 3 10 2024
entrez: 3 10 2024
Statut: epublish

Résumé

Hepatocellular carcinoma (HCC) posed significant health problems and deaths. There are various challenges in the management of HCC, including the late detection or diagnosis. The ongoing diagnostic method in HCC also hinders the detection on the early stages of the disease, thus biomarkers need to be explored further for HCC detection. Serum alpha fetoprotein (AFP) and Midkine (MDK) are two proteins which might be the biomarker of choice in the detection of HCC. This meta-analysis aims to analyze the accuracy of Midkine and AFP in the detection of HCC. The systematic review and meta-analysis was conducted by adhering to the Preferred Reporting System for Systematic Review and Meta-Analysis (PRISMA) guidelines. We conduct literature screening and selection followed by quality assessment from various databases such as PubMed, MEDLINE, SpringerLink, ProQuest, EBSCOhost, Cochrane, and EMBASE. The included studies were then extracted and analyzed cumulatively using MedCalc and MetaDTA with forest plot and ROC curve as outcome. 12 studies were included in this study. The AFP biomarker yields sensitivity value of 62.5% (97.5% CI 0.442 - 0.778) and specificity value of 95% (97.5% CI 0.842 - 0.986), while the Midkine biomarker denotes sensitivity value of 91.6% (97.5% CI 0.83 - 0.961) and specificity value of 82.2% (97.5% CI 0.83 - 0.96). Both AFP and MDK are proven to be a good diagnostic tool or biomarker in the detection of HCC. The use of both in combination should provide high quality diagnostic marker for HCC suspected patients. Further studies on this should be conducted.

Sections du résumé

Background UNASSIGNED
Hepatocellular carcinoma (HCC) posed significant health problems and deaths. There are various challenges in the management of HCC, including the late detection or diagnosis. The ongoing diagnostic method in HCC also hinders the detection on the early stages of the disease, thus biomarkers need to be explored further for HCC detection. Serum alpha fetoprotein (AFP) and Midkine (MDK) are two proteins which might be the biomarker of choice in the detection of HCC. This meta-analysis aims to analyze the accuracy of Midkine and AFP in the detection of HCC.
Methods UNASSIGNED
The systematic review and meta-analysis was conducted by adhering to the Preferred Reporting System for Systematic Review and Meta-Analysis (PRISMA) guidelines. We conduct literature screening and selection followed by quality assessment from various databases such as PubMed, MEDLINE, SpringerLink, ProQuest, EBSCOhost, Cochrane, and EMBASE. The included studies were then extracted and analyzed cumulatively using MedCalc and MetaDTA with forest plot and ROC curve as outcome.
Results UNASSIGNED
12 studies were included in this study. The AFP biomarker yields sensitivity value of 62.5% (97.5% CI 0.442 - 0.778) and specificity value of 95% (97.5% CI 0.842 - 0.986), while the Midkine biomarker denotes sensitivity value of 91.6% (97.5% CI 0.83 - 0.961) and specificity value of 82.2% (97.5% CI 0.83 - 0.96).
Conclusions UNASSIGNED
Both AFP and MDK are proven to be a good diagnostic tool or biomarker in the detection of HCC. The use of both in combination should provide high quality diagnostic marker for HCC suspected patients. Further studies on this should be conducted.

Identifiants

pubmed: 39359432
doi: 10.22088/cjim.15.4.559
pmc: PMC11444100
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

559-569

Informations de copyright

© The Author(s).

Déclaration de conflit d'intérêts

The authors declare that there is no conflicts of interest.

Auteurs

Masrul Lubis (M)

Department of Internal Medicine, Faculty of Medicine, Universitas Sumatera Utara, Medan, Indonesia.

Darmadi Darmadi (D)

Department of Internal Medicine, Faculty of Medicine, Universitas Sumatera Utara, Medan, Indonesia.

Sem Samuel Surja (S)

Department of Parasitology, School of Medicine and Health Sciences, Universitas Katolik Indonesia Atma Jaya, Medan, Indonesia.

Cennikon Pakpahan (C)

Department of Biomedical Sciences, Faculty of Medicine, Universitas Airlangga, Medan, Indonesia.

Classifications MeSH