scholarly journals Identifying the diagnostic value of microRNA-421 in gastric cancer patients: a meta-analysis

2018 ◽  
Author(s):  
Yan Miao ◽  
Ying Zhang ◽  
Lina Wang ◽  
Lihong Yin
Keyword(s):  
Gastric Cancer ◽  
Operating Characteristic ◽  
Meta Analysis ◽  
Characteristic Curve ◽  
Diagnostic Odds Ratio ◽  
Diagnostic Value ◽  
Summary Receiver Operating Characteristic ◽  
Gastric Cancer Patients ◽  
Sensitivity Specificity

ABSTRACTObjectivesEmerging evidence has shown that the expression level of microRNA-421 (miR-421) was significantly different between gastric cancer (GC) patients and healthy individuals. However, the diagnostic accuracy of miR-421 in the reports remains inconsistent. This meta-analysis aims to assess the diagnostic value of miR-421 in GC detection.MethodsAll related articles on miR-421 in GC diagnosis were retrieved until September 2018. The QUADAS-2 checklist was used to assess the methodological quality of each study. The diagnostic performance of miR-421 for GC were assessed by using Meta-DiSc 1.4 and STATA 14.0 statistical software.ResultsA total of 172 GC patients and 154 healthy controls from three articles (four studies) were enrolled in this meta-analysis. The results of pooled sensitivity, specificity, diagnostic odds ratio (DOR) with 95% confidence interval (CI) were 0.90 (95% CI: 0.85 to 0.93), 0.83 (95% CI: 0.77 to 0.87), and 37.18 (95% CI: 8.61 to 160.49), respectively. The area under the summary receiver operating characteristic curve (SROC) was 0.8977.ConclusionsThis study indicates that miR-421 could serve as a promising biomarker for GC detecting. Further studies are needed to verify the generalizability of these findings.

scholarly journals Evaluation of alpha-l-fucosidase for the diagnosis of hepatocellular carcinoma based on meta-analysis

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Lei Xi ◽  
Chunqing Yang
Keyword(s):  
Hepatocellular Carcinoma ◽  
Operating Characteristic ◽  
Meta Analysis ◽  
Area Under The Curve ◽  
Diagnostic Odds Ratio ◽  
Diagnostic Value ◽  
Receiver Operating Characteristic Curves ◽  
Sensitivity Specificity ◽  
Review Manager

AbstractObjectivesThe main aim of the present study was to assess the diagnostic value of alpha-l-fucosidase (AFU) for hepatocellular carcinoma (HCC).MethodsStudies that explored the diagnostic value of AFU in HCC were searched in EMBASE, SCI, and PUBMED. The sensitivity, specificity, and DOR about the accuracy of serum AFU in the diagnosis of HCC were pooled. The methodological quality of each article was evaluated with QUADAS-2 (quality assessment for studies of diagnostic accuracy 2). Receiver operating characteristic curves (ROC) analysis was performed. Statistical analysis was conducted by using Review Manager 5 and Open Meta-analyst.ResultsEighteen studies were selected in this study. The pooled estimates for AFU vs. α-fetoprotein (AFP) in the diagnosis of HCC in 18 studies were as follows: sensitivity of 0.7352 (0.6827, 0.7818) vs. 0.7501 (0.6725, 0.8144), and specificity of 0.7681 (0.6946, 0.8283) vs. 0.8208 (0.7586, 0.8697), diagnostic odds ratio (DOR) of 7.974(5.302, 11.993) vs. 13.401 (8.359, 21.483), area under the curve (AUC) of 0.7968 vs. 0.8451, respectively.ConclusionsAFU is comparable to AFP for the diagnosis of HCC.

scholarly journals Artificial Intelligence in Gastric Cancer: Identifying Gastric Cancer Using Endoscopic Images with Convolutional Neural Network

Cancers ◽  
2021 ◽  
Vol 13 (21) ◽  
pp. 5253
Author(s):  
Md. Mohaimenul Islam ◽  
Tahmina Nasrin Poly ◽  
Bruno Andreas Walther ◽  
Ming-Chin Lin ◽  
Yu-Chuan (Jack) Li
Keyword(s):  
Gastric Cancer ◽  
Likelihood Ratio ◽  
Meta Analysis ◽  
Characteristic Curve ◽  
Positive Likelihood Ratio ◽  
Negative Likelihood Ratio ◽  
Work Load ◽  
Diagnostic Odds Ratio ◽  
Summary Receiver Operating Characteristic ◽  
Sensitivity Specificity

Gastric cancer (GC) is one of the most newly diagnosed cancers and the fifth leading cause of death globally. Identification of early gastric cancer (EGC) can ensure quick treatment and reduce significant mortality. Therefore, we aimed to conduct a systematic review with a meta-analysis of current literature to evaluate the performance of the CNN model in detecting EGC. We conducted a systematic search in the online databases (e.g., PubMed, Embase, and Web of Science) for all relevant original studies on the subject of CNN in EGC published between January 1, 2010, and March 26, 2021. The Quality Assessment of Diagnostic Accuracy Studies-2 was used to assess the risk of bias. Pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and diagnostic odds ratio were calculated. Moreover, a summary receiver operating characteristic curve (SROC) was plotted. Of the 171 studies retrieved, 15 studies met inclusion criteria. The application of the CNN model in the diagnosis of EGC achieved a SROC of 0.95, with corresponding sensitivity of 0.89 (0.88–0.89), and specificity of 0.89 (0.89–0.90). Pooled sensitivity and specificity for experts endoscopists were 0.77 (0.76–0.78), and 0.92 (0.91–0.93), respectively. However, the overall SROC for the CNN model and expert endoscopists was 0.95 and 0.90. The findings of this comprehensive study show that CNN model exhibited comparable performance to endoscopists in the diagnosis of EGC using digital endoscopy images. Given its scalability, the CNN model could enhance the performance of endoscopists to correctly stratify EGC patients and reduce work load.

scholarly journals Evaluation of the FilmArray Meningitis/Encephalitis Panel for Diagnosis of Infectious Meningitis and Encephalitis

2021 ◽  
Author(s):  
Min Lin ◽  
Chun-Lu Chen ◽  
Le-Yao Qi ◽  
Cong Shen ◽  
Ye-Ling Liu ◽  
...  
Keyword(s):  
Full Text ◽  
Operating Characteristic ◽  
Characteristic Curve ◽  
Diagnostic Odds Ratio ◽  
Cochrane Library ◽  
Likelihood Ratios ◽  
Summary Receiver Operating Characteristic ◽  
Evaluation Standard ◽  
Sensitivity Specificity

Abstract Background: Infectious Meningitis/Encephalitis (M/E) is caused by pathogens. The FilmArray M/E panel can quickly detect 14 kinds of pathogens and facilitate diagnosis for patients with M/E. This study aimed to perform a evaluation of the sensitivity and specificity of the FilmArray M/E panel compared with classic method of diagnosing M/E.Methods: Relevant studies published before August 15, 2021, were identified by searching Web of Science, PubMed, Cochrane Library, and Embase, using keywords Meningitis, Encephalitis, and FilmArray M/E panel. After the initial screening, EndNoteX9 was used to manage the studies and extract data. The quality of the study was based mainly on the quality evaluation standard of diagnostic tests recommended by Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2). Meta-DiSc 1.4 statistical software was used to determine the sensitivity, specificity, 95% confidence interval (CI), diagnostic odds ratio (DOR), positive likelihood ratios (PLR) and negative likelihood ratios (NLR) of each group of data, and summary receiver operating characteristic curve (SROC). All P values were two sided, and P <0.05 was considered statistically significant.Results: A total of 269 studies were retrieved, and 16 full-text studies were identified. The sensitivity of all the full-text studies was 0.93 (95% CI: 0.91–0.95) and the specificity 0.98 (95% CI: 0.98–0.98). Conclusions: Compared with the gold standard, the FilmArray M/E panel had a sensitivity of 0.93 and a specificity of 0.98 to 16 pathogens. Further studies are needed to determine whether the FilmArray M/E panel can be used as a clinical standard for the diagnosis of M/E.

scholarly journals Diagnosis accuracy of serum glypican-3 level in patients with hepatocellular carcinoma: a systematic review with meta-analysis

2018 ◽  
Vol 33 (4) ◽  
pp. 353-363 ◽  
Author(s):  
Jian Li ◽  
Tiezheng Wang ◽  
Boxun Jin ◽  
Wenlei Li ◽  
Zhenshun Wang ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Test Performance ◽  
Meta Analysis ◽  
Characteristic Curve ◽  
Diagnostic Odds Ratio ◽  
Diagnostic Value ◽  
Summary Receiver Operating Characteristic ◽  
Random Effects Models ◽  
Design Deficiencies ◽  
Sensitivity Specificity

Background: Previous studies have evaluated the diagnostic value of serum glypican-3 in patients with hepatocellular carcinoma. However, the results remain inconsistent and even controversial. Thus, the aim of the present meta-analysis was to clarify the diagnostic accuracy of serum glypican-3 for hepatocellular carcinoma. Methods: A meta-analysis including 22 studies was performed with 2325 cases and 2280 controls. Relevant studies were searched in the EMBASE, PubMed, and Web of Science databases, covering relevant papers published until November 1, 2017. The quality of the studies was assessed by revised QUADAS tools. Sensitivity, specificity, and other measures were pooled and determined to evaluate the accuracy of serum glypican-3 in the diagnosis of hepatocellular carcinoma by random-effects models. Summary receiver operating characteristic curve (sROC) analysis was performed to summarize the overall test performance. Results: The results showed that the pooled overall diagnostic sensitivity, specificity, and 95% confidence interval (CI) for serum glypican-3 in the diagnosis of hepatocellular carcinoma were 68% (56-79%) and 92% (82-96.0%), respectively. Besides, the summary diagnostic odds ratio and 95% CI for glypican-3 were 23.53 (8.57-64.63). In addition, the area under sROC and 95% CI was 0.87 (0.84-0.90). The major design deficiencies of included studies were differential verification bias, and a lack of clear exclusion and inclusion criteria. Conclusions: The results of this meta-analysis suggested that serum glypican-3 was acceptable as a moderate diagnostic marker in the diagnosis of hepatocellular carcinoma compared with healthy individuals, which could elevate the sensitivity and specificity of diagnosis. Furthermore, more well-designed studies with large sample sizes are needed to show the effectiveness of glypican-3 in the differential diagnosis of hepatocellular carcinoma.

DIAGNOSTIC VALUE OF ANTI-MÜLLERIAN HORMONE AS A BIOMARKER FOR POLYCYSTIC OVARY SYNDROME: A META-ANALYSIS UPDATE

2019 ◽  
Vol 25 (10) ◽  
pp. 1056-1066 ◽  
Author(s):  
Yang Zhao ◽  
Yinlong Zhao ◽  
Chunpeng Wang ◽  
Zhenzhen Liang ◽  
Xin Liu
Keyword(s):  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Meta Analysis ◽  
Characteristic Curve ◽  
Diagnostic Odds Ratio ◽  
Summary Receiver Operating Characteristic ◽  
Ovary Syndrome ◽  
Diagnostic Efficacy ◽  
Sensitivity Specificity ◽  
Rotterdam Criteria

Objective: A previous meta-analysis carried out on the predictive ability of anti-Müllerian hormone (AMH) for polycystic ovary syndrome (PCOS) showed that independent AMH may be a useful initial diagnostic test for PCOS. The aims of this study were to update the meta-analysis and to evaluate the diagnostic efficacy of AMH when it replaces polycystic ovary morphology (PCOM) in the Rotterdam criteria. Methods: Two independent reviewers searched PubMed, Cochrane Library, and the Web of Science databases systematically to identify relevant articles by using the key words “anti-Müllerian hormone” and “polycystic ovary syndrome.” The deadline for manuscript inclusion was July 31, 2018. A random effects model was used and subgroup analysis and meta regression were performed to identify possible sources of heterogeneity. The methodologic quality of each study was assessed by QUADAS-2 and funnel plot asymmetry test. Results: According to the inclusion criteria, 29 studies were included in this meta-analysis. The pooled sensitivity, specificity, and diagnostic odds ratio (DOR) for AMH alone detecting PCOS were 0.76 (95% confidence interval [CI] 0.71 to 0.81), 0.86 (95% CI 0.82 to 0.90) and 20 (95% CI 12 to 33), respectively. When AMH replaces polycystic ovary morphology (PCOM) for the diagnosis of PCOS, the pooled sensitivity, specificity, and DOR rose to 0.93 (95% CI 0.89 to 0.96), 0.99 (95% CI 0.95 to 1.00), and 1,634 (95% CI 217 to 12,324), respectively. The area under the summary receiver-operating characteristic curve for AMH alone and for AMH replacing PCOM detecting PCOS were 0.88 (95% CI 0.85 to 0.91) and 0.97 (95% CI 0.95 to 0.98), respectively, which was found to be significantly different ( Z = 4.89, P<.01). Conclusion: When AMH replaces PCOM in the Rotterdam criteria, the diagnostic efficacy for polycystic ovary syndrome is better. Abbreviations: AMH = anti-Müllerian hormone; AUC = area under the summary receiver operating characteristic curve; BMI = body mass index; CI = confidence interval; DOR = diagnostic odds ratio; HA = hyperandrogenism; IBC = Immunotech-Beckman Coulter; NLR = negative likelihood ratio; OA = oligo-anovulation; PCOM = polycystic ovary morphology; PCOS = polycystic ovary syndrome; PLR = positive likelihood ratio; QUADAS = the Quality Assessment of Diagnostic Accuracy Studies; SENS = sensitivity; SPEC = specificity

Diagnostic value of HOX transcript antisense RNA for cancer detection: a meta-analysis

2020 ◽  
Vol 14 (5) ◽  
pp. 401-411
Author(s):  
Weihao Kong ◽  
Mingwei Yang ◽  
Yunfeng Zhu ◽  
Xiaomin Zuo ◽  
Hengyi Wang ◽  
...  
Keyword(s):  
Likelihood Ratio ◽  
Antisense Rna ◽  
Noncoding Rna ◽  
Operating Characteristic ◽  
Meta Analysis ◽  
Characteristic Curve ◽  
Positive Likelihood Ratio ◽  
Negative Likelihood Ratio ◽  
Diagnostic Odds Ratio ◽  
Sensitivity Specificity

Aim: Numerous studies have investigated the diagnostic role of long noncoding RNA HOX transcript antisense RNA in cancers, but its diagnostic efficacy is inconsistent. Methods: The PubMed, Embase, Web of Science and Cochrane Library databases are used to retrieve relevant studies. The bivariate effect model was used to compute the combined sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, diagnostic odds ratio and area under the receiver operating characteristic curve. Results: A total of 13 studies were included in this meta-analysis. The combined sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, diagnostic odds ratio and area under the receiver operating characteristic curve were: 0.77, 0.83, 4.7, 0.28, 17 and 0.87, respectively. Deeks’ funnel plot test (p = 0.103) indicated no publication bias. Conclusion: Long noncoding RNA HOX transcript antisense RNA may be a useful biomarker for cancer detection.

scholarly journals Interleukin-27 as a Diagnostic Biomarker for Patients with Sepsis: A Meta-Analysis

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Ying Wang ◽  
Jingyi Zhao ◽  
Yinhui Yao ◽  
Dan Zhao ◽  
Shiquan Liu
Keyword(s):  
Receiver Operating Characteristic Curve ◽  
Receiver Operating Characteristic ◽  
Operating Characteristic ◽  
Meta Analysis ◽  
Characteristic Curve ◽  
Diagnostic Biomarker ◽  
Summary Receiver Operating Characteristic ◽  
Funnel Plot ◽  
Operating Characteristic Curve ◽  
Sensitivity Specificity

Background. The present study was aimed to investigate the value of blood interleukin-27 (IL-27) as a diagnostic biomarker of sepsis. Methods. We searched PubMed, EMBASE, the Cochrane Library, and the reference lists of relevant articles. All studies published up to October 21, 2020, which evaluated the accuracy of IL-27 levels for the diagnosis of sepsis were included. All the selected papers were assessed using the Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2). We used a bivariate random effects model to estimate sensitivity, specificity, diagnostic odds ratios (DOR), and a summary receiver operating characteristic curve (SROC). Deeks’ funnel plot was used to illustrate the potential presence of publication bias. Results. This meta-analysis included seven articles. The pooled sensitivity, specificity, and DOR were 0.85 (95% CI, 0.72-0.93), 0.72 (95% CI, 0.42-0.90), and 15 (95% CI, 3-72), respectively. The area under the summary receiver operating characteristic curve was 0.88 (95% CI, 0.84-0.90). The pooled I 2 statistic was 96.05 for the sensitivity and 96.65 for the specificity in the heterogeneity analysis. Deeks’ funnel plot indicated no publication bias in this meta-analysis ( P = 0.07 ). Conclusions. The present results showed that IL-27 is a reliable diagnostic biomarker of sepsis, but it should be investigated in combination with other clinical tests and results.

Diagnostic Value of Total Plasma Lysophosphatidic Acid in Ovarian Cancer: A Meta-analysis

2015 ◽  
Vol 25 (1) ◽  
pp. 18-23 ◽  
Author(s):  
Zhaolian Lu ◽  
Yingjian Chen ◽  
Zhide Hu ◽  
Chengjin Hu
Keyword(s):  
Ovarian Cancer ◽  
Receiver Operating Characteristic ◽  
Lysophosphatidic Acid ◽  
Test Performance ◽  
Operating Characteristic ◽  
Meta Analysis ◽  
Characteristic Curve ◽  
Diagnostic Value ◽  
Summary Receiver Operating Characteristic ◽  
Receiver Operating

ObjectiveThis study aimed to assess the diagnostic value of lysophosphatidic acid (LPA) in ovarian cancer.MethodsA systematic review of related studies was performed; sensitivity, specificity, and other measures about the accuracy of serum LPA in the diagnosis of ovarian cancer were pooled using random-effects models. Summary receiver operating characteristic curve analysis was used to summarize the overall test performance.ResultsSix studies involving 363 patients with ovarian cancer and 273 healthy control women met the inclusion criteria. The summary estimates for LPA in diagnosing ovarian cancer in the included studies were as follows: sensitivity, 0.94 [95% confidence interval (CI), 0.91–0.96]; specificity, 0.88 (95% CI, 0.83–0.91); and diagnostic odds ratio, 141.59 (95% CI, 52.1–384.63). The area under the curve and Q value for summary receiver operating characteristic curves were 0.97 and 0.92, respectively.ConclusionsThe LPA assay showed high accuracy and sensitivity for the diagnosis of ovarian cancer. The present study was limited by the small number of available studies and sample size; therefore, additional studies with a better design and larger samples are needed to further assess the diagnostic accuracy of LPA.

scholarly journals Diagnostic value of RASSF1A methylation for breast cancer: a meta-analysis

2019 ◽  
Vol 39 (6) ◽  
Author(s):  
Mingyi Li ◽  
Chunpeng Wang ◽  
Binbin Yu ◽  
Xueyuan Zhang ◽  
Fang Shi ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Meta Analysis ◽  
Characteristic Curve ◽  
High Specificity ◽  
Diagnostic Odds Ratio ◽  
Diagnostic Value ◽  
Cochrane Library ◽  
Diagnostic Biomarker ◽  
Summary Receiver Operating Characteristic ◽  
Rassf1a Methylation

Abstract Background: Numerous studies reported that RAS-association domain family 1 isoform A (RASSF1A) methylation might act as diagnostic biomarker for breast cancer (BC), this meta-analysis aimed to evaluate the value of RASSF1A methylation for diagnosing BC. Methods: Such databases as PubMed, Cochrane Library and Web of Science databases were searched for literatures until May 2019. A meta-analysis was performed utilizing STATA and Revman softwares. Furthermore, subgroup analysis was adopted to determine likely sources of heterogeneity. Results: Totally 19 literatures with 1849 patients and 1542 controls were included in the present study. Sensitivity, specificity, diagnostic odds ratio (DOR) and the area under the summary receiver operating characteristic curve (AUC) of RASSF1A methylation for diagnosing BC were 0.49, 0.95, 19.0 and 0.83, respectively. The sensitivity (0.54 vs 0.43), DOR (30.0 vs 10.0) and AUC (0.84 vs 0.81) of RASSF1A methylation in Caucasian were higher than other ethnicities. The sensitivity (0.64 vs 0.57), DOR (21.0 vs 14.0) and AUC (0.89 vs 0.86) of methylation-specific PCR (MSP) were superior to other methods (q-MSP, OS-MSP and MethyLight). The sensitivity, DOR and AUC of serum RASSF1A methylation vs RASSF1A methylation in other samples (tissue or plasma) were 0.55 vs 0.40, 22.0 vs 14.0 and 0.86 vs 0.74, respectively. Conclusions: RASSF1A methylation might be a potential diagnostic biomarker for BC. Considering its low sensitivity and high specificity, it should combine with others to upgrade the sensitivity. Besides, under such conditions, MSP detection, serum RASSF1A methylation and Caucasian are shown to be more effective and suitable for diagnosing BC.

scholarly journals Potential Role of MicroRNA-375 as Biomarker in Human Cancers Detection: A Meta-Analysis

2017 ◽  
Vol 2017 ◽  
pp. 1-10 ◽  
Author(s):  
Jin Yan ◽  
Qiang She ◽  
Xiaoran Shen ◽  
Yifeng Zhang ◽  
Bingtuan Liu ◽  
...  
Keyword(s):  
Test Performance ◽  
Meta Analysis ◽  
Area Under The Curve ◽  
Diagnostic Odds Ratio ◽  
Diagnostic Value ◽  
Circulating Microrna ◽  
Cancer Type ◽  
Analysis Model ◽  
Summary Receiver Operating Characteristic ◽  
Sensitivity Specificity

The association between circulating microRNA-375 (miR-375) expression and cancers has been studied; however, the results are inconsistent. We searched PubMed, Embase, and Web of Science for studies concerning the diagnostic value of miR-375 for cancer. The bivariate meta-analysis model was employed to summarize sensitivity, specificity, and diagnostic odds ratio (DOR) for miR-375 in the diagnosis of cancer. Summary receiver operating characteristic (SROC) curve analysis and the area under the curve (AUC) were also used to check the overall test performance. A total of 645 cancer patients and 421 cancer-free individuals from 12 studies were contained in this meta-analysis. The summary estimates revealed that the pooled sensitivity was 78% (95% confidence interval (CI): 64%–87%), the specificity was 74% (95% CI: 62%–84%), the DOR was 10.04 (95% CI: 6.01–16.77), and the AUC was 0.82 (95% CI: 0.79–0.85). In addition, we found that the diagnostic effect of miR-375 varies according to the race and cancer type. Our data suggest that miR-375 profiling has a potential to be used as a screening test for cancers but the specific race and cancer should be considered. More studies on the diagnostic value of miR-375 for cancer are needed in the future.

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