The Diagnostic Performance of lncRNAs from Blood Specimens in Patients with Hepatocellular Carcinoma: A Meta-Analysis
| Autor: | Huo-Chun Yi, Jian-Jun Niu, Jing-Yi Huang, Si-Yu Wang, Yong Lin |
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| Rok vydání: | 2020 |
| Předmět: |
Oncology
Funnel plot medicine.medical_specialty Carcinoma Hepatocellular business.industry Liver Neoplasms Biochemistry (medical) Clinical Biochemistry Publication bias medicine.disease Likelihood ratios in diagnostic testing Confidence interval Hepatocellular carcinoma Meta-analysis Internal medicine Linear regression medicine Diagnostic odds ratio Humans RNA Long Noncoding business |
| Zdroj: | Laboratory Medicine. 52:64-73 |
| ISSN: | 1943-7730 0007-5027 |
| Popis: | Objective Long noncoding RNAs (lncRNAs) are widely involved in the carcinogenesis and development of cancers. We conducted a meta-analysis to evaluate the diagnostic performance of lncRNAs in hepatocellular carcinoma (HCC). Methods After the inclusion and exclusion process, relevant information was extracted. Heterogeneity between studies was evaluated, and data synthesis was conducted by employing a bivariate random-effects model. Results In total, 20 eligible studies were enrolled. The pooled sensitivity and specificity were 0.86 (95% confidence interval [CI], 0.80–0.90) and 0.88 (95% CI, 0.82–0.92), respectively. The pooled positive likelihood ratio, pooled negative likelihood ratio, and pooled diagnostic odds ratio were 7.1 (95% CI, 4.9–10.2), 0.16 (95% CI, 0.11–0.23), and 44 (95% CI, 25–79), respectively. The results of the linear regression method and visual inspection of the Deeks funnel plot did not indicate significant publication bias. Conclusion Our meta-analysis suggested that lncRNAs have high diagnostic performance for HCC and have the potential for clinical application. |
| Databáze: | OpenAIRE |
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