scholarly journals MicroRNA-122 as a diagnostic biomarker for hepatocellular carcinoma related to hepatitis C virus: a meta-analysis and systematic review

2020 ◽  
Vol 48 (8) ◽  
pp. 030006052094163
Author(s):  
Xiao-yu Wei ◽  
Jing Ding ◽  
Wen-guang Tian ◽  
Yi-Chuan Yu
Keyword(s):  
Hepatocellular Carcinoma ◽  
Hepatitis C Virus ◽  
Hepatitis C ◽  
Likelihood Ratio ◽  
Meta Analysis ◽  
Positive Likelihood Ratio ◽  
Diagnostic Value ◽  
Cochrane Library ◽  
Detection Accuracy ◽  
Diagnostic Biomarker

Objective MicroRNA-122 (miR-122) has been identified as a biomarker of liver diseases. However, the miR-122 detection accuracy in patients with hepatocellular carcinoma (HCC) associated with hepatitis C virus (HCV) is inconclusive. Methods We conducted a systematic literature search of Web of Science, Cochrane Library, PubMed, and Embase to identify studies related to the diagnostic value of miR-122 in HCV-related HCC. We analyzed the results and validated them using data from the Cancer Genome Atlas (TCGA). Results Six articles were included in this meta-analysis, comprising 354 cases and 420 controls. The pooled specificity, sensitivity, positive likelihood ratio, negative likelihood ratio, diagnostic odds ratio, and area under the curve were 0.87, 0.83, 5.1, 0.16, 32, and 0.92, respectively. Additional sub-group analyses showed that results for plasma were more sensitive than those for serum. In addition, miR-122 was better at distinguishing between HCV-associated HCC and healthy people or those with HCV than between those with HCV-associated HCC and HCV-related cirrhosis. Small samples (≤100) had better diagnostic odds ratios than larger samples (>100). Analysis of data from TCGA confirmed that miRNA-122 had a high diagnostic value. Conclusion This meta-analysis demonstrates that miR-122 may be a useful diagnostic biomarker for HCV-associated HCC.

scholarly journals The diagnostic value of D-dimer in acute aortic dissection: a meta-analysis

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Jian Yao ◽  
Tao Bai ◽  
Bo Yang ◽  
Lizhong Sun
Keyword(s):  
Aortic Dissection ◽  
Likelihood Ratio ◽  
Acute Aortic Dissection ◽  
Meta Analysis ◽  
Positive Likelihood Ratio ◽  
Diagnostic Value ◽  
Cochrane Library ◽  
Operating Characteristics ◽  
Meta Regression ◽  
D Dimer

Abstract Objective This study aims to evaluate the diagnostic value of D-dimer for acute aortic dissection (AAD) by the method of meta-analysis. Methods PubMed, Cochrane Library, Web of Science, Embase, China National Knowledge Infrastructure (CNKI), and Wanfang databases from the establishment of the databases to December 2020 were systematically searched, and the Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) system was used to evaluate the quality of the literature. STATA 15.0 software was applied to calculate the pooled sensitivity, specificity, diagnostic odds ratio (DOR), positive likelihood ratio (+LR), negative likelihood ratio (−LR) to draw summary receiver operating characteristics (SROC) curve and calculate the area under the curve (AUC). Meta-regression and subgroup analyses were used to explore the source of heterogeneity. Results A total of 16 clinical studies were enrolled in this study, including 1135 patients. The results of the meta-analysis showed that the pooled sensitivity was 0.96 (95% CI 0.91–0.98), the pooled specificity was 0.70 (95% CI 0.57–0.81), and the pooled DOR was 56.57 (95% CI 25.11–127.44), the pooled +LR was 3.25 (95% CI 2.18–4.85), the pooled −LR was 0.06 (95% CI 0.03–0.12), and the AUC was 0.94 (95% CI 0.91–0.95). Meta-regression and subgroup analysis results showed that publication year, sample size and cutoff value might be sources of heterogeneity. When the concentration of D-dimer was less than or equal to 500 ng/ml, the sensitivity significantly increased. Conclusion D-dimer has an excellent diagnostic value for AAD. It is a useful tool for detecting suspected AAD because of the excellent pooled sensitivity. D-dimer ≤ 500 ng/ml increases the potential to identify the suspected patients with AAD.

scholarly journals Identification of circulating microRNAs as diagnostic biomarkers for ovarian cancer: A pooled analysis of individual studies

2018 ◽  
Vol 33 (4) ◽  
pp. 379-388 ◽  
Author(s):  
Quan Zhou ◽  
Man-Zhen Zuo ◽  
Ze He ◽  
Hai-Rong Li ◽  
Wei Li
Keyword(s):  
Ovarian Cancer ◽  
Likelihood Ratio ◽  
Meta Analysis ◽  
Positive Likelihood Ratio ◽  
Diagnostic Value ◽  
Cochrane Library ◽  
Circulating Mirnas ◽  
Diagnostic Biomarkers ◽  
Circulating Micrornas ◽  
Diagnostic Characteristics

Background: Circulating microRNAs (miRNAs) are proposed as promising non-invasive diagnostic biomarkers for many cancers. However, the diagnostic value of circulating miRNAs in ovarian cancer is inconsistent in different studies. Thus we performed this meta-analysis to systematically evaluate the diagnostic value of circulating miRNAs in ovarian cancer. Methods: Eligible studies that were published prior to 30 June 2017 were searched from the PubMed, EMBASE, Cochrane Library, and Chinese National Knowledge Infrastructure. All analyses were performed using STATA 12.0 software. A bivariate regression was used to calculate pooled diagnostic accuracy estimates. Results: A total of 36 studies from 16 publications were included in this meta-analysis. The pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and diagnostic odds ratio of circulating miRNAs for ovarian cancer diagnosis were 0.76 (95% confidence intervals (CI): 0.69, 0.81), 0.81 (95% CI 0.74, 0.87), 4.00 (95% CI 2.70, 5.30), 0.30(95% CI 0.24, 0.37) and 13.00 (95% CI 9.00, 19.00), respectively. The area under the summary receiver operating characteristic curve was 0.85 (95% CI 0.82, 0.88). Subgroup analyses showed that multiple miRNA assays yielded better diagnostic characteristics than a single miRNA assay, and plasma miRNAs were better than serum miRNAs for ovarian cancer detection. Conclusion: Circulating miRNAs, especially the combination of multiple circulating miRNAs, are promising biomarkers for the diagnosis of ovarian cancer. However, further large-scale prospective studies are necessary to validate the applicability of the miRNAs in the early detection of ovarian cancer.

Diagnostic Value of Neutrophil CD64 in Burn Patients with Infection in Chinese Population：A Systematic Review and Meta-analysis

2021 ◽  
Author(s):  
Zhao Chen ◽  
Turxun Nurlan ◽  
Fangyan Ning ◽  
Tianjian Zha ◽  
Xiaolong Liu
Keyword(s):  
Early Diagnosis ◽  
Likelihood Ratio ◽  
Chinese Population ◽  
Meta Analysis ◽  
Positive Likelihood Ratio ◽  
Negative Likelihood Ratio ◽  
Diagnostic Value ◽  
Cochrane Library ◽  
Burn Patients ◽  
Neutrophil Cd64

Abstract Background Infection is one of the leading causes of death in burn patients. Many researches regard neutrophil CD64 (nCD64) as a biomarker in the early diagnosis of burn patients with infection. Nevertheless, the conclusions are controversial. Methods A comprehensive analysis of the diagnostic value of nCD64 for burn infection was performed in China using a meta-analysis method. Pubmed, Cochrane library, Web of Science, Embase, China National Knowledge Infrastructure (CNKI), and China Wanfang databases were searched for studies on nCD64 as a diagnostic biomarker of burn patients with infection from the establishment of the databases to September 29, 2020. The data was analyzed by Stata 15.0 software. Results Six studies were identified. The results showed that the pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and DOR were 0.92 (95%CI:0.88~0.95), 0.82 (95%CI:0.76~0.87), 5.10 (95%CI:3.90~6.80), 0.10 (95%CI:0.06~0.15) and 52 (95%CI:29~94), respectively. The area under curve (AUC) was 0.94 (95%CI:0.92~0.94). According to the analysis of the sepsis subgroup, it showed that nCD64 had good diagnostic value in the patients with burn sepsis in Chinese population. Conclusion nCD64 is highly efficient to diagnose burn infection in Chinese population. Therefore, nCD64 could be regarded as a valuable biomarker for early diagnosis of burn infection in China, especially in patients with burn sepsis. Combined with other diagnostic indexes, nCD64 can be clinically used in the early diagnosis of burn infection to improve the sensitivity and specificity.

scholarly journals The Diagnostic Value of LncRNAs for Bladder Cancer: A Meta-Analysis

2021 ◽  
Author(s):  
Yuan Chen ◽  
Faiza Naz ◽  
Shi Fu ◽  
Mengran Shi ◽  
Haihao Li ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Diagnostic Accuracy ◽  
Likelihood Ratio ◽  
Sensitivity And Specificity ◽  
Odds Ratio ◽  
Meta Analysis ◽  
Positive Likelihood Ratio ◽  
Diagnostic Odds Ratio ◽  
Diagnostic Value ◽  
Cochrane Library

Abstract Background: In recent years, qualitative and quantitative analysis of LncRNA has been reported as a potential method for early diagnosis of bladder cancer, but the results from each research are insufficient and not completely consistent. This meta-analysis aims to evaluate the diagnostic value of LncRNA for BC.Methods: We conducted a diagnostic meta-analysis and the diagnostic significance of LncRNA in blood, urine and tumor tissues was discussed. We searched the PUBMED, EMABASE, and Cochrane Library until June 2020. The current meta-analysis was performed using Review Manager 5.2, Stata 16.0 and Meta-Disc 1.4 software. Results: A total of 18 researches involving early and/or advanced bladder cancer were finally included. The overall diagnostic accuracy was measured as follows: pooled sensitivity and specificity were 0.72 (95%CI:0.70, 0.73) and 0.76 (95%CI: 0.75, 0.78). Pooled positive likelihood ratio and negative likelihood ratio were 3.09 (95%CI: 2.66, 3.58) and 0.37 (95%CI: 0.33, 0.42). Combined diagnostic odds ratio was 9.43 (95%CI: 7.30, 12.20). A high diagnostic accuracy was demonstrated by the summary receiver operating characteristic curve, with area under the curve of 0.82 (95%CI: 0.78, 0.85). UCA1 and H19 had the best diagnostic effect, their diagnostic sensitivity and specificity were 80%, 79% and 79%, 73% respectively, the combined diagnostic odds ratio was 16.85 and 12.67 respectively.Conclusions: This meta-analysis suggests that LncRNA have great potential in the diagnosis of bladder cancer, UCA1 and H19 had the best diagnostic effect. LncRNA panel is the future development direction in the diagnosis of bladder cancer. However, larger sample researches are needed to further confirm our conclusion.

scholarly journals The Role of circRNAs in the Diagnosis of Colorectal Cancer: A Meta-Analysis

2021 ◽  
Vol 8 ◽  
Author(s):  
Ru-Dong Li ◽  
Min Guan ◽  
Zhe Zhou ◽  
Shu-Xiao Dong ◽  
Qian Liu
Keyword(s):  
Colorectal Cancer ◽  
Diagnostic Accuracy ◽  
Likelihood Ratio ◽  
Meta Analysis ◽  
Positive Likelihood Ratio ◽  
Negative Likelihood Ratio ◽  
Cochrane Library ◽  
Diagnostic Biomarker ◽  
Significant Difference ◽  
Sensitivity Specificity

Background: A novel category of non-coding circular RNAs (circRNAs) has been found to be dysregulated in colorectal cancer (CRC) and significantly contribute to its progression. However, the feasibility of using circRNA as a diagnostic biomarker for CRC remains to be elucidated. Herein, we aimed to comprehensively collect and analyze evidence regarding the potential application of circRNAs as diagnostic indicators for CRC.Methods: A comprehensive retrieval of relevant studies dating from January, 2015 to December 2020, was carried out in PubMed, Cochrane Library, and Web of Science. Data regarding the diagnostic accuracy of circRNA for CRC, including sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and area under the curve (AUC), were obtained from the included studies. Quality assessment of diagnostic accuracy studies (QUADAS-2) was used to assess the methodological quality of each study. Statistical analysis was performed using STAT and RevMan software.Results: Eighteen studies, involving a total of 2021 individuals, were included in the present meta-analysis. The specimens examined included tissue, serum, and plasma. The pooled sensitivity, specificity, DOR, PLR, NLR, and AUC, with a 95% confidence interval (CI), of circRNAs in the diagnosis of CRC were 0.78 (0.71–0.83), 0.73 (0.68–0.78), 9.68 (6.76–13.85), 2.92 (2.45–3.50), 0.30 (0.23–0.39), and 0.81 (0.78–0.85), respectively. Subgroup analysis showed that the upregulated circRNAs in the tissue or plasma possessed relatively higher diagnostic values for CRC than the downregulated circRNAs. There was no significant difference between the tissue-derived and non-tissue-derived circRNA subgroups.Conclusion: circRNA may be used as a diagnostic biomarker for CRC because of its relatively high diagnostic accuracy in distinguishing CRC patients from normal controls. Further prospective studies are needed to identify more representative circRNAs as diagnostic markers for CRC.

Diagnostic value of urinary monocyte chemoattractant protein-1 in evaluating the activity of lupus nephritis: a meta-analysis

Lupus ◽  
2020 ◽  
Vol 29 (6) ◽  
pp. 599-606
Author(s):  
Yuan-Rui Xia ◽  
Qing-Ru Li ◽  
Jun-Ping Wang ◽  
Heng-Sheng Guo ◽  
Yu-Qing Bao ◽  
...  
Keyword(s):  
Lupus Nephritis ◽  
Diagnostic Accuracy ◽  
Likelihood Ratio ◽  
Meta Analysis ◽  
Positive Likelihood Ratio ◽  
Diagnostic Value ◽  
Cochrane Library ◽  
Monocyte Chemoattractant Protein 1 ◽  
Monocyte Chemoattractant ◽  
Monocyte Chemoattractant Protein

Objective This study aimed to assess systematically the overall diagnostic value of urinary monocyte chemoattractant protein-1 (uMCP-1) in systemic lupus erythematosus (SLE) patients with active lupus nephritis (LN). Methods Articles from PubMed, Web of Science, EMBASE and Cochrane Library were retrieved up to 5 November 2019. Study quality was evaluated using the Quality Assessment of Diagnostic Accuracy Studies-2 tool, and statistical analyses were performed. Results A total of seven original studies with 521 participants were included in this meta-analysis. The summary estimates were: sensitivity 0.89 (95% confidence interval (CI) 0.86–0.93), specificity 0.63 (95% CI 0.55–0.69), positive likelihood ratio 2.16 (95% CI 1.66–2.80), negative likelihood ratio 0.15 (95% CI 0.08–0.30), diagnostic odds ratio 19.40 (95% CI 7.24–51.96) and area under the curve 0.9042. Conclusion As a non-invasive biomarker, uMCP-1 has high diagnostic accuracy for active LN.

scholarly journals Diagnostic Value of lncRNAs as Biomarker in Hepatocellular Carcinoma: An Updated Meta-Analysis

2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Shilian Chen ◽  
Yaqin Zhang ◽  
Xuan Wu ◽  
Chaoyang Zhang ◽  
Guancheng Li
Keyword(s):  
Hepatocellular Carcinoma ◽  
Publication Bias ◽  
Likelihood Ratio ◽  
Meta Analysis ◽  
Random Effect Model ◽  
Positive Likelihood Ratio ◽  
Negative Likelihood Ratio ◽  
Diagnostic Value ◽  
Diagnostic Biomarkers ◽  
Funnel Plot

Some long noncoding RNAs (lncRNAs) display aberrantly high or low expression in hepatocellular carcinoma (HCC) and have the potential to serve as diagnostic biomarkers. Here, we accomplished a meta-analysis based on current studies to assess the diagnostic value of lncRNAs in HCC. Eligible literatures were systematically selected from PubMed, Web of Science, and Embase (up to January 20, 2018) according to defined inclusion and exclusion criteria. QUADAS scale was applied to the quality assessment of the included studies. Statistical analysis was performed through bivariate random-effects models based on R software. Publication bias was evaluated by funnel plot and Begg’s and Egger’s tests. 16 articles containing 2,268 cancer patients and 2,574 controls were selected for the final meta-analysis. Random effect model was used for the meta-analysis due to significant between-study heterogeneity. The pooled sensitivity, specificity, diagnostic odds ratio (DOR), positive likelihood ratio (PLR), and negative likelihood ratio (NLR) were 0.87(0.838-0.897), 0.829(0.794-0.86), 23.085(20.575-25.901), 4.533(4.239-4.847), and 0.176(0.166-0.186), respectively. Summary receiver operating characteristic curve (SROC) was conducted to estimate the diagnostic accuracy of lncRNAs in HCC with the area under curve (AUC) of 0.915. Subgroups analysis showed that lncRNA profiling, sample size, specimen types, and ethnicity might be the sources of heterogeneity. No publication bias existed according to funnel plot symmetry and Begg’s (P= 0.187) and Egger’s (P= 0.477) tests. In conclusion, lncRNAs can serve as potential diagnostic biomarkers of HCC with high sensitivity and specificity. In addition, lncRNAs panel from serum and plasma has a relatively high diagnostic value for HCC patients from Asia.

scholarly journals The Diagnostic Value of Soluble ST2 in Heart Failure: A Meta-Analysis

2021 ◽  
Vol 8 ◽  
Author(s):  
Chaojun Yang ◽  
Zhixing Fan ◽  
Jinchun Wu ◽  
Jing Zhang ◽  
Wei Zhang ◽  
...  
Keyword(s):  
Heart Failure ◽  
Publication Bias ◽  
Likelihood Ratio ◽  
Meta Analysis ◽  
False Negative ◽  
Positive Likelihood Ratio ◽  
Threshold Effect ◽  
Diagnostic Value ◽  
Cochrane Library ◽  
Spearman Correlation

Objective: The diagnostic performance of soluble suppression of tumorigenicity (sST2) in heart failure (HF) had been investigated in multiple studies, but the results were inconsistent. This meta-analysis evaluated the diagnostic value of sST2 in HF.Methods: Pubmed, Web of Science, Embase, and Cochrane Library databases were searched until March 2021. Cohort studies or case-control studies relevant to the diagnostic value of sST2 in HF were screened, and true positive (TP), false positive (FP), false negative (FN), and true negative (TN) data were extracted for calculating sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and area under the curve (AUC). The quality of the included studies was evaluated using the Quality Assessment of Diagnostic Accuracy Studies (QUADAS), the threshold effect was determined by calculating Spearman correlation coefficients and summary receiver operating characteristic (SROC) curve patterns, the heterogeneity was evaluated using the I2 statistic and the Galbraith radial plot, and sensitivity analysis was also performed. Deeks' test was used to assess publication bias.Results: A total of 11 studies from 10 articles were included in this meta-analysis. The Spearman correlation coefficient was 0.114, p = 0.739, and the SROC curve did not show a “shoulder-arm” shape, which suggests that there was no threshold effect, but study heterogeneity existed because of non-threshold effects. The combined sensitivity was 0.72 [95% confidence interval (CI): 0.65–0.78], specificity was 0.65 (95% CI: 0.45–0.81), PLR was 1.75 (95% CI: 1.33–2.31), NLR was 0.48 (95% CI: 0.37–0.63), DOR was 3.63 (95% CI: 2.29–5.74), and AUC was 0.75. The Deeks' test suggested no significant publication bias in the included studies (P = 0.94).Conclusion: sST has some diagnostic value in HF, but this should be further evaluated in additional studies with rigorous design and high homogeneity.

scholarly journals Diagnostic Accuracy of Circulating microRNAs for Hepatitis C Virus-Associated Hepatocellular Carcinoma: A Systematic Review and Meta-Analysis

2021 ◽  
Author(s):  
Jiajie Zhang ◽  
Jiepeng Tong ◽  
Yicheng Huang ◽  
Li Zhang ◽  
Wei Yu ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Hepatitis C Virus ◽  
Hepatitis C ◽  
Diagnostic Accuracy ◽  
Meta Analysis ◽  
Cochrane Library ◽  
Circulating Mirnas ◽  
Likelihood Ratios ◽  
Circulating Micrornas ◽  
Mirna Clusters

Abstract Aims: The purpose of this study was to perform an assessment of circulating microRNAs as promising biomarker for Hepatitis C virus (HCV)-associated hepatocellular carcinoma (HCV-HCC) through a meta-analysis.Methods: A comprehensive literatures search extended up to March 1, 2020 in PubMed, Cochrane library, Embase, Web of Science, Scopus and Ovid databases. The collected data were analyzed by random-effects model because of high heterogeneity, the pooled sensitivity (SEN), specificity (SPE), positive and negative likelihood ratios (PLR and NLR), diagnostic odds ratio (DOR), and area under the curve (AUC) were used to explore the diagnostic performance of circulating miRNAs. Subgroup and threshold effect analysis were further carried out to explore the heterogeneity. Results: Overall, 16 articles that included a total of 3606 HCV-HCC patients and 3387 HCV patients without HCC were collected. The pooled estimates indicated miRNAs could distinguish HCC patients from chronic hepatitis C (CHC) and HCV-associated liver cirrhosis (HCV-LC), with a SEN of 0.83 (95% CI, 0.79-0.87), a SPE of 0.77 (95% CI, 0.71-0.82), a DOR of 17 (95% CI, 12-28), and an AUC of 0.87 (95% CI, 0.84-0.90). The combination of miRNAs and AFP showed a better diagnostic accuracy than each alone. Subgroup analysis demonstrated that diagnostic accuracy of miRNAs was better for plasma types, up-regulated miRNAs, and miRNA clusters. There was no evidence of publication bias in Deeks’ funnel plot.Conclusions: The summarized results suggested that circulating miRNAs, especially for miRNA clusters, have a relatively high diagnostic value for HCV-HCC, which could be served as non-invasive screening tool.

scholarly journals Diagnostic Accuracy of Serum/Plasma Circular RNAs and the Combination of Circular RNAs and α-Fetoprotein for Detecting Hepatocellular Carcinoma: A Meta-Analysis

2021 ◽  
Vol 12 ◽  
Author(s):  
Guilin Nie ◽  
Dingzhong Peng ◽  
Bei Li ◽  
Jiong Lu ◽  
Yulong Cai ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Diagnostic Accuracy ◽  
Likelihood Ratio ◽  
Meta Analysis ◽  
Genomic Medicine ◽  
Positive Likelihood Ratio ◽  
Negative Likelihood Ratio ◽  
Cochrane Library ◽  
Circular Rnas ◽  
Liquid Biopsies

The lack of an accurate biomarker in hepatocellular carcinoma (HCC) has hindered early detection, diagnosis, and treatment. Circular RNAs (circRNAs), which can be used as novel biomarkers in liquid biopsies, have been brought to light as a result of the advances in research on molecular biomarkers and the progression of genomic medicine. We conducted a meta-analysis of the diagnostic accuracy of serum/plasma circRNAs or the combination of circRNAs and α-fetoprotein (AFP) in HCC. We identified eight studies that met the inclusion/exclusion criteria from PubMed, Web of Science, EMBASE, and Cochrane Library databases. The data were pooled, and the sensitivity, specificity, diagnostic odds ratio (DOR), positive likelihood ratio (+LR), and negative likelihood ratio (-LR) with 95% confidence intervals (CIs) were calculated. The areas under the summary receiver operator characteristic (SROC) curves (AUCs) were also calculated. The sensitivity of circRNAs was 0.82 (95% CI: 0.78–0.85), and the specificity was 0.82 (95% CI: 0.78–0.86). The sensitivity of AFP was 0.65 (95% CI: 0.61–0.68), and the specificity was 0.90 (95% CI: 0.85–0.93). The AUC was 0.89 (95% CI: 0.86–0.91) for circRNAs and 0.77 (95% CI: 0.74–0.81) for AFP. The sensitivity of the combination of circRNAs and AFP was 0.88 (95% CI: 0.84–0.92), specificity was 0.86 (95% CI: 0.80–0.91), and AUC was 0.94 (95% CI: 0.91–0.96). Additionally, a subgroup analysis was conducted based on the control groups used; the diagnostic accuracy was particularly high in the comparison of HCC vs. healthy controls. In summary, serum/plasma circRNAs are accurate biomarkers suitable for clinical use for detecting HCC, and the combination of circRNAs and AFP improved the diagnostic accuracy.

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