SynthesisMolecular genetics & genomic medicine2020
Diagnostic accuracy of midkine for hepatocellular carcinoma: A meta-analysis.
Synthesis in Molecular genetics & genomic medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Diagnostic accuracy of midkine for hepatocellular carcinoma: A meta-analysis.Molecular genetics & genomic medicine · 2020Pooled it
- Integrated single-cell and transcriptomic analysis of bone marrow-derived metastatic neuroblastoma reveals molecular mechanisms of metabolic reprogramming.Scientific reports · 2025Article
- X-Linked Hereditary Hydrocephalus Diagnosed in the Fetal Period With Adducted Thumb and a Novel L1CAM Variant: A Case Report.Clinical case reports · 2025Article
- Alpha-fetoprotein, glypican-3, and kininogen-1 as biomarkers for the diagnosis of hepatocellular carcinoma.International journal of clinical and experimental pathology · 2024Review
- Evaluation of serum midkine levels and metabolic parameters in patients with hidradenitis suppurativa.Archives of dermatological research · 2023Article
- Updating the Clinical Application of Blood Biomarkers and Their Algorithms in the Diagnosis and Surveillance of Hepatocellular Carcinoma: A Critical Review.International journal of molecular sciences · 2023Review
- Article
- Proteomic Profiling and Artificial Intelligence for Hepatocellular Carcinoma Translational Medicine.Biomedicines · 2021Review
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThere have been many reports on midkine as a promising marker in the diagnosis of hepatocellular carcinoma (HCC). However, the results are inconsistent and even conflicting.
methodsThis meta-analysis was performed to investigate the accuracy of midkine in the diagnosis of HCC. Meta-DiSc 1.4 software was used to extract data and to calculate the overall sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), and diagnostic odds ratio (DOR). Data are presented as forest plots and summary receiver operating characteristic (SROC) curve analysis was used to summarize the overall test performance.
resultsTen studies with a total of 753 HCC patients and 977 non-HCC patients were included. The overall pooled diagnostic data were as follows: the pooled sensitivity of 0.86 (95% confidence interval [CI]: 083-0.88), the pooled specificity of 0.75 (95% CI: 0.73-0.78), the pooled PLR of 4.71 (95% CI: 2.80-7.90), the pooled NLR of 0.18 (95% CI: 0.11-0.30), and the pooled DOR of 36.83 (95% CI: 13.56-100.05). The area under curve value was 0.9266 in the overall SROC curve.
conclusionMidkine has moderate diagnostic accuracy for HCC. Due to the design limitations, results inpublished studies should be carefully interpreted. In addition, more well-designed studies with large sample sizes should be performed to rigorously evaluate the diagnostic accuracy of the MDK.
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