Meta-analysis of contrast-enhanced ultrasonography for the detection of gallbladder carcinoma

Aim: To systematically evaluate the accuracy of contrast-enhanced ultrasonography (CEUS) for the detection of gallbladder carcinoma. Material and method: Relevant studies were identified searching PubMed, Embase, Elsevier, the CNKI (China National Knowledge Infrastructure) database and the Cochrane Trial Register searches until August 2015. Patient clinical characteristics, sensitivity and specificity were extracted. The summary receiver operating characteristic (ROC) curve was used to examine the accuracy of CEUS. A meta-analysis was performed to evaluate the clinical utility in the diagnosis of gallbladder carcinoma. Sensitivity analysis was performed after omitting outliers identified in a bivariate boxplot and publication bias was assessed with Egger testing. Results: From 89 citations, 16 were included in the meta-analysis with a total of 1673 lesions. We detected heterogeneity between studies and evidence of publication bias. The methodological quality was moderate. The pooled weighted sensitivity with a corresponding 95% confidence interval (CI) was 0.92 (95%CI: 0.90, 0.94), the specificity was 0.91 (95%CI: 0.89, 0.93), the positive likelihood ratio was 10.01 (95%CI: 7.02, 14.29), the negative likelihood ratio was 0.10 (95%CI: 0.07, 0.14), and the diagnostic odds ratio was 123.02 (95%CI: 78.40, 193.03). The area under the ROC curve was 0.9689 (95%CI: 0.9376, 0.9879). Conclusions: CEUS is a reliable, non-invasive, and no-radiation-exposure imaging modality with a high sensitivity and specificity for detection of gallbladder carcinoma. Nonetheless, it should be applied cautiously, and large scale, well-designed trials are necessary to assess its clinical value.

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The value of glycosylated hemoglobin in the diagnosis of diabetic retinopathy: a systematic review and Meta-analysis

BMC Endocrine Disorders ◽

10.1186/s12902-021-00737-2 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Bo Zhang ◽

Bingjie Zhang ◽

Zhulin Zhou ◽

Yutong Guo ◽

Dan Wang

Keyword(s):

Diabetic Retinopathy ◽

Likelihood Ratio ◽

Roc Curve ◽

Meta Analysis ◽

Glycosylated Hemoglobin ◽

Positive Likelihood Ratio ◽

Negative Likelihood Ratio ◽

Biomedical Literature ◽

Cochrane Library ◽

Clinical Value

AbstractObjectiveGlycosylated hemoglobin (HbA1c) has obvious clinical value in the diagnosis of diabetes, but the conclusions on the diagnostic value of diabetic retinopathy (DR) are not consistent. This study aims to comprehensively evaluate the accuracy of glycosylated hemoglobin in the diagnosis of diabetic retinopathy through the meta-analysis of diagnostic tests.MethodsCochrane Library, Embase, PubMed, Web of Science, China National Knowledge Infrastructure (CNKI), China Wanfang Database, Chinese Biomedical Literature Database (CBM) were searched until November, 2020. The Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) tool was used to assess the quality of the included studies. The pooled sensitivity, specificity, positive likelihood ratio (+LR), negative likelihood ratio (-LR), diagnostic odds ratio (DOR) and areas under the receiver operating characteristic (ROC) curve were calculated by Stata 15.0 software.ResultsAfter screening, 18 high-quality papers were included. The results of meta-analysis showed that the combined DOR = 18.19 (95% CI: 10.99–30.11), the sensitivity= 0.81 (95% CI): 0.75 ~ 0.87), specificity = 0.81 (95%CI: 0.72 ~ 0.87), +LR = 4.2 (95%CI: 2.95 ~ 6.00), −LR = 0.23 (95%CI: 0.17 ~ 0.31), and the area under the Summary ROC curve was 0.88 (95%CI: 0.85 ~ 0.90).ConclusionThe overall accuracy of HbA1cC forin diagnosing diabetic retinopathy is good. As it is more stable than blood sugar and is not affected by meals, it may be a suitable indicator for diabetic retinopathy.

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Diagnostic Accuracy of Epithelial Membrane Antigen for Malignant Effusions: A Meta-Analysis

The International Journal of Biological Markers ◽

10.5301/jbm.5000181 ◽

2016 ◽

Vol 31 (1) ◽

pp. 11-16 ◽

Cited By ~ 1

Author(s):

Wentao Lin ◽

Xiaoxue Liu ◽

Ying Cen

Keyword(s):

Likelihood Ratio ◽

Sensitivity And Specificity ◽

Odds Ratio ◽

Epithelial Membrane Antigen ◽

Meta Analysis ◽

Positive Likelihood Ratio ◽

Negative Likelihood Ratio ◽

Diagnostic Odds Ratio ◽

Diagnostic Potential ◽

Malignant Effusions

Background and Objectives Body cavity fluid examination sometimes presents a diagnostic challenge in cytology practice. This meta-analysis was undertaken to comprehensively assess the diagnostic potential of epithelial membrane antigen (EMA) in malignant effusions. Materials and Methods All relevant original articles about EMA in the diagnosis of malignant effusions published up to July 1, 2014 were retrieved. The overall sensitivity, specificity, positive and negative likelihood ratio, diagnostic odds ratio, and summary receiver operating characteristic (SROC) curve were pooled to evaluate the diagnostic value of EMA for malignant effusions using the Meta-Disc 1.4 and STATA 12.0 statistical software. Results Eleven studies met the inclusion criteria for the meta-analysis and the summary estimates for EMA in the diagnosis of malignant effusions were as follows: sensitivity 0.9 (95% CI 0.83-0.87), specificity 0.87 (95% CI 0.96-0.99), positive likelihood ratio 5.8 (95% CI 15.59-36.37), negative likelihood ratio 0.15 (95% CI 0.07-0.20) and diagnostic odds ratio 52.63 (95% CI 20.91-132.49). The SROC curve indicated that the maximum joint sensitivity and specificity (Q-value) was 0.88; the area under the curve was 0.94. Conclusion The present meta-analysis indicated that EMA may be a useful diagnostic tool with good sensitivity and specificity for differentiating malignant effusions from benign effusions.

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Comparison of methods for the diagnosis of patent foramen ovale in patients with cryptogenic cerebral ischemia: a meta-analysis

10.22541/au.161626571.12319626/v1 ◽

2021 ◽

Author(s):

Xiaoxuan Guo ◽

Xiaojuan Wang ◽

Lu Zhang ◽

Yan Zhang ◽

Rui Peng ◽

...

Keyword(s):

Cerebral Ischemia ◽

Likelihood Ratio ◽

Sensitivity And Specificity ◽

Transthoracic Echocardiography ◽

Patent Foramen Ovale ◽

Meta Analysis ◽

Positive Likelihood Ratio ◽

Negative Likelihood Ratio ◽

Receiver Operating Curve ◽

Foramen Ovale

Background: Foramen ovale is a residual cavity in the developing heart in the fetus. At present, the standard methods for the diagnosis of PFO-right-to-left-shunting (PFO-RLS) include transesophageal echocardiography (TEE), contrast-transcranial Doppler echocardiography (C-TCD), and contrast-transthoracic echocardiography (C-TTE), each of them having its advantages and disadvantages.However, there are no data allowing the comparison of these three methods. Methods: We systematically reviewed all published studies on patients with cryptogenic cerebral ischemia. The sensitivity, specificity, and other indexes of C-TCD and C-TTE in the diagnosis of PFO-RLS were calculated using the Stata 16.0 software. The area under the summary receiver operating curve（SROC) was calculated. Results: Twenty-five 25 controlled studies involving a total of 2282 patients were analyzed. There was considerable heterogeneity between C-TCD and C-TTE sensitivity and specificity among the studies. The combined sensitivity and specificity of C-TCD and C-TTE were 0.95 (95%CI, 0.93-0.97) and 0.86(95%CI, 0.78-0.91), and 0.88 (95%CI, 0.69-0.96) and 0.99 (95%CI, 0.67-1.00). The positive likelihood ratio and negative likelihood ratio of C-TCD and C-TTE were 6.81 (95%CI, 4.42-10.48) and 0.05 (95%CI, 0.03-0.08), and 82.31(95%CI, 2.03-3341.00) and 0.12 (95%CI, 0.04-0.34). The areas under the SROC for C-TCD and C-TTE were 0.97 (95%CI, 0.95–0.98) and 0.98 (95%CI, 0.96–0.99), respectively, and were not significantly different by the Z test (z=-0.17, p=0.86). Conclusion: C-TCD and C-TTE have advantages in diagnosing PFO-RTL. The combination of C-TCD and C-TTE improves the detection rate and reduces the misdiagnosis rate. Key words: patent foramen ovale, cryptogenic cerebral ischemia, contrast-transthoracic echocardiography, contrast-transthoracic echocardiography

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Comparison of contrast-enhanced ultrasound with MRI in the diagnosis of complex cystic renal masses: a meta-analysis

Acta Radiologica ◽

10.1177/0284185118755575 ◽

2018 ◽

Vol 59 (10) ◽

pp. 1254-1263 ◽

Cited By ~ 8

Author(s):

Linli Zhou ◽

Lemin Tang ◽

Tao Yang ◽

Wei Chen

Keyword(s):

Likelihood Ratio ◽

Diagnostic Performance ◽

Meta Analysis ◽

Positive Likelihood Ratio ◽

Negative Likelihood Ratio ◽

Contrast Enhanced Ultrasound ◽

Diagnostic Efficacy ◽

Renal Masses ◽

Contrast Enhanced ◽

Sensitivity Specificity

Background The differential diagnosis of cystic renal masses still faces great challenges. There has been no systematically assessment to compare the value of contrast-enhanced ultrasound (CEUS) with magnetic resonance imaging (MRI) in the diagnosis of cystic renal masses. Purpose To perform a meta-analysis to compare the diagnostic efficacy of CEUS with that of MRI for cystic renal masses. Material and Methods A systematic search was performed for literature evaluating the diagnostic performance of CEUS or MRI in cystic renal masses. Quality assessment of diagnostic studies 2 (QUADAS-2) was used to evaluate the quality of each study included. The pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and the areas under the summary receiver operating characteristic (AUCs-SROC) curve for CEUS and MRI were calculated, respectively. Results Seventeen studies with 1142 lesions were included. The pooled sensitivity, specificity, positive likelihood ratio, and negative likelihood ratio for CEUS /MRI were 0.95/0.92, 0.84/0.91, 5.62/6.74, and 0.09/0.13, respectively. The AUCs-SROC curves for the two methods were 95.66% and 94.65%. The subgroup analysis indicated that the scanning slice thickness may influence the diagnostic efficacy of MRI. Conclusion Both CEUS and MRI have good diagnostic performance for cystic renal masses and can provide the reference for clinicians. CEUS is more sensitive but less specific than MRI.

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Diagnostic accuracy of Xpert Xpress Flu/RSV for detection of Influenza and Respiratory syncytial virus: systematic review and meta-analysis

10.21203/rs.2.17887/v1 ◽

2019 ◽

Author(s):

Xu-Guang Guo ◽

Ye-Ling Liu ◽

Tian-Ao Xie ◽

Geng-Ling Lin ◽

Qin-Rong Lin ◽

...

Keyword(s):

Influenza Virus ◽

Respiratory Syncytial Virus ◽

Publication Bias ◽

Likelihood Ratio ◽

Meta Analysis ◽

Positive Likelihood Ratio ◽

Negative Likelihood Ratio ◽

Cochrane Library ◽

Original Research ◽

Syncytial Virus

Abstract Background: Xpert Xpress Flu/RSV assay is a fast and automated real-time nucleic acid amplification method, recently approved by the USA, Europe and China for detection and differentiation of influenza (Flu) A, Flu B and RSV virus from nasopharyngeal swabs. Nevertheless, there are still no systematic reviews and meta-analysis on the accuracy of identification of influenza virus by The Xpert Xpress Flu/RSV assay. The aim of this meta-analysis was to verify the accuracy of Xpert Xpress Flu/RSV for detecting Flu and RSV.Materials and Methods: The PubMed, EMBASE, Cochrane Library, and Web of Science databases were searched using the following keywords: Xpert Xpress Flu/RSV, Flu and RSV up to April 2019. Four researchers screened and extracted documents according to inclusion and exclusion criteria. The quality of original research was assessed using the QUADAS-2 guidelines. Meta-DiSc 1.4 software was used to analyze the sensitivity, specificity, positive likelihood ratio (+LR), negative likelihood ratio (-LR), diagnostic ratio (DOR), and Summary receiver operating characteristic curves (SROC). Deek’s funnel plot asymmetry test was used to evaluate the publication bias by Stata 12.0.Results: Nine studies with 22 fourfold tables were included in this meta-analysis. The sensitivity of Xpert Xpress Flu/RSV for detection of Flu A, Flu B, and RSV was 0.96, 0.98, 0.98; the specificity was 0.97, 0.99, 0.99; +LR was 80.65, 163.74, 237.35; -LR was 0.02 , 0.03, 0.05；DOR was 4806.90, 6266.78, 5254.41, respectively. AUC was all over 0.9. In addition, no publication bias for FluA, Flu B, and RSV was found. Conclusions: Compared to the traditional PCR approach, Xpert Xpress Flu/RSV resulted as a valuable method for Flu and RSV diagnosis in the clinic, offering high sensitivity and specificity. Nonetheless, further research is necessary to determine whether Xpert Xpress Flu/RSV can be used as a clinical diagnostic standard for the identification of Flu and RSV. Keywords: Xpert Xpress Flu/RSV; influenza virus; respiratory syncytial virus; PCR

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The Value of FujiLAM in the Diagnosis of Tuberculosis: A Systematic Review and Meta-Analysis

Frontiers in Public Health ◽

10.3389/fpubh.2021.757133 ◽

2021 ◽

Vol 9 ◽

Author(s):

Zhenzhen Li ◽

Xiang Tong ◽

Sitong Liu ◽

Jirong Yue ◽

Hong Fan

Keyword(s):

Likelihood Ratio ◽

Sensitivity And Specificity ◽

Cell Envelope ◽

Meta Analysis ◽

Positive Likelihood Ratio ◽

Negative Likelihood Ratio ◽

Diagnostic Value ◽

Reference Standard ◽

Cell Counts ◽

Potential Biomarker

Background: Timely and accurate diagnosis of tuberculosis (TB) remains a major challenge. Lipoarabinomannan (LAM) is a specific component of the cell envelope of Mycobacterium tuberculosis and is also a potential biomarker for the diagnosis of TB. Recently, the Fujifilm SILVAMP TB LAM test (FujiLAM), as a novel urine lateral flow LAM test, was developed for the diagnosis of TB and is convenient and timely. Because of a difference in the diagnostic value of FujiLAM in the original studies, we conducted a meta-analysis to comprehensively assess the diagnostic value of FujiLAM in TB.Data Sources: We performed a literature search using the PubMed and EMBASE databases and commercial Internet search engines to identify studies.Methods: Searches of databases using relevant terms (“tuberculosis” or “TB”) and (“Fujifilm SILVAMP TB LAM” or “FujiLAM”) were performed. Screening, study reviewing, data extracting and assessing data quality was performed independently by two reviewers. We calculated the pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and diagnostic odds ratio. To minimize potential heterogeneity, we performed subgroup analyses.Results: Nine articles were included in the meta-analysis. When using the microbiological reference standard (MRS), the results showed that the sensitivity and specificity of FujiLAM were 0.70 and 0.93, respectively, in adults with TB, while the sensitivity and specificity of FujiLAM in children with TB were 0.51 and 0.87. When using a comprehensive reference standard (CRS), the sensitivity and specificity of FujiLAM in adults with TB were 0.59 and 0.96, respectively, while the results showed that the sensitivity and specificity of FujiLAM in children with TB were 0.27 and 0.86, respectively. Subgroup analysis showed that FujiLAM had higher diagnostic sensitivity in patients with human immunodeficiency virus infection or CD4 cell counts < 200 cells/μL, both in adults and children.Conclusions: This meta-analysis suggests that FujiLAM has a high value in the diagnosis of adults with TB.

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Evaluation of Lateral-Flow Assay for Rapid Detection of Influenza Virus

BioMed Research International ◽

10.1155/2020/3969868 ◽

2020 ◽

Vol 2020 ◽

pp. 1-16 ◽

Cited By ~ 1

Author(s):

Meng-Yi Han ◽

Tian-Ao Xie ◽

Jia-Xin Li ◽

Hui-Jin Chen ◽

Xiao-Hui Yang ◽

...

Keyword(s):

Influenza Virus ◽

Likelihood Ratio ◽

Sensitivity And Specificity ◽

Meta Analysis ◽

Relevant Literature ◽

Positive Likelihood Ratio ◽

Negative Likelihood Ratio ◽

Lateral Flow ◽

Lateral Flow Assay ◽

Cochrane Library

Background. Influenza virus mainly causes acute respiratory infections in humans. However, the diagnosis of influenza is not accurate based on clinical evidence, as the symptoms of flu are similar to other respiratory virus. The lateral-flow assay is a rapid method to detect influenza virus. But the effectiveness of the technique in detecting flu viruses is unclear. Hence, a meta-analysis would be performed to evaluate the accuracy of LFA in detecting influenza virus. Methods. Relevant literature was searched out in PubMed, Embase, Web of Science, and Cochrane Library databases with the keywords “lateral flow assay” and “flu virus”. By Meta-DiSc software, pooled sensitivity, pooled specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), summary receiver operating characteristic curve (SROC), and area under the curve (AUC) can be calculated. Results. This meta-analysis contains 13 studies and 24 data. The pooled sensitivity and specificity of the influenza virus detected by LFA were 0.84 (95% CI: 0.82-0.86) and 0.97 (95% CI: 0.97-0.98), respectively. The pooled values of PLR, NLR, DOR, and SROC were 32.68 (17.16-62.24), 0.17 (0.13-0.24), 334.07 (144.27-773.53), and 0.9877. No publication bias was found. Conclusions. LFA exhibited high sensitivity and specificity in diagnosing influenza virus. It is a valuable alternative method which can diagnose influenza virus quickly. However, more evidence is required to confirm whether LFA is comparable to traditional methods for detecting the virus.

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

Canadian Journal of Gastroenterology and Hepatology ◽

10.1155/2018/8410195 ◽

2018 ◽

Vol 2018 ◽

pp. 1-12 ◽

Cited By ~ 8

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.

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Diagnostic Accuracy of the ADNEX Model for Ovarian Cancer at the 15% Cut-Off Value: A Systematic Review and Meta-Analysis

Frontiers in Oncology ◽

10.3389/fonc.2021.684257 ◽

2021 ◽

Vol 11 ◽

Author(s):

Xiaotong Huang ◽

Ziwei Wang ◽

Meiqin Zhang ◽

Hong Luo

Keyword(s):

Ovarian Cancer ◽

Diagnostic Accuracy ◽

Publication Bias ◽

Likelihood Ratio ◽

Meta Analysis ◽

Characteristic Curve ◽

Positive Likelihood Ratio ◽

Negative Likelihood Ratio ◽

Cochrane Library ◽

Meta Regression

ObjectivesTo evaluate the diagnostic accuracy of the ADNEX model for ovarian cancer at the 15% cut-off value.MethodsStudies on the identified diagnosis of the ADNEX model for ovarian cancer published in PubMed, Embase, the Cochrane Library and Web of Science databases from January 1st, 2014 to February 20th, 2021 were searched. Two researchers independently screened the retrieved studies and extracted the basic features and parameter data. The quality of the eligible studies was evaluated by Quality Assessment of Diagnostic Accuracy Studies-2, and the result was summarized by Review Manager 5.3. Meta-Disc 1.4 and STATA 16.0 were used in statistical analysis. Heterogeneity of this meta-analysis was calculated. Meta-regression was performed to investigate the potential sources of heterogeneity. Sensitivity analysis and Deek’s funnel plot analysis were conducted to evaluate the stability and publication bias, respectively.Results280 studies were initially retrieved through the search strategy, and 10 eligible studies were ultimately included. The random-effects model was selected for data synthesis. The pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, diagnostic odds ratio and the area under the summary receiver operating characteristic curve were 0.92 (95% CI: 0.89–0.94), 0.82 (95% CI: 0.78–0.86), 5.2 (95% CI: 4.1–6.4), 0.10 (95% CI: 0.07–0.13), 54.0 (95% CI: 37.0–77.0) and 0.95 (95% CI: 0.91–0.95). Meta-regression based on study design, country, enrollment and blind method was not statistically significant. This meta-analysis was stable with no obvious publication bias.ConclusionsThe ADNEX model at the 15% cut-off had high diagnostic accuracy in identifying ovarian cancer.

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Diagnostic and Prognostic Role of miR-192 in Different Cancers: A Systematic Review and Meta-Analysis

BioMed Research International ◽

10.1155/2021/8851035 ◽

2021 ◽

Vol 2021 ◽

pp. 1-14

Author(s):

Lili Wang ◽

Yuhan Liu ◽

Chen Lyu ◽

Alexander Buchner ◽

Heike Pohla

Keyword(s):

Systematic Review ◽

Likelihood Ratio ◽

Sensitivity And Specificity ◽

Meta Analysis ◽

Positive Likelihood Ratio ◽

Negative Likelihood Ratio ◽

Cochrane Library ◽

Eligibility Criteria ◽

Potential Biomarker

Introduction. It has been shown that miR-192 is abnormally expressed in a variety of cancer types and participates in different kinds of signaling pathways. The role of miR-192 in the diagnosis and prognosis of cancer has not been verified. This article is aimed at exploring the diagnostic and prognostic value of miR-192 through a systematic review and meta-analysis. Methods. A systematic search was performed through PubMed, Embase, Web of Science, and Cochrane Library databases up to June 16, 2020. A total of 16 studies were enrolled in the meta-analyses, of which 11 articles were used for diagnostic meta-analysis and 5 articles were used for prognostic meta-analysis. The values of sensitivity and specificity using miR-192 expression as a diagnostic tool were pooled in the diagnostic meta-analysis. The hazard ratios (HRs) of overall survival (OS) with 95 confidence intervals (CIs) were extracted from the studies, and pooled HRs were evaluated in the prognostic meta-analysis. Eleven studies including 667 cancer patients and 514 controls met the eligibility criteria for the diagnostic meta-analysis. Five studies including 166 patients with high miR-192 expression and 236 patients with low miR-192 expression met the eligibility criteria for the prognostic meta-analysis. Results. The overall diagnostic accuracy was as follows: sensitivity 0.79 ( 95 % CI = 0.75 -0.82), specificity 0.74 ( 95 % CI = 0.64 -0.82), positive likelihood ratio 3.03 ( 95 % CI = 2.11 -4.34), negative likelihood ratio 0.29 ( 95 % CI = 0.23 -0.37), diagnostic odds ratio 10.50 ( 95 % CI = 5.89 -18.73), and area under the curve ratio (AUC) 0.82 ( 95 % CI = 0.78 -0.85). The overall prognostic analysis showed that high expression of miR-192 in patients was associated with positive survival ( HR = 0.62 , 95 % CI : 0.41 -0.93, p = 0.020 ). Conclusion. Our results revealed that miR-192 was a potential biomarker with good sensitivity and specificity in cancers. Moreover, highly expressed miR-192 predicted a good prognosis for patients.

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