scholarly journals Diagnostic accuracy of prostate cancer antigen 3 (PCA3) prior to first prostate biopsy: A systematic review and meta-analysis

2019 ◽  
Vol 14 (5) ◽  
Author(s):  
Sandra Viviana Muñoz Rodríguez ◽  
Herney Andrés García-Perdomo
Keyword(s):  
Prostate Cancer ◽  
Diagnostic Accuracy ◽  
Prostate Biopsy ◽  
Reference Lists ◽  
Meta Analysis ◽  
Area Under The Curve ◽  
Diagnostic Odds Ratio ◽  
Cancer Antigen ◽  
Prostate Cancer Antigen

Introduction: We aimed to determine the diagnostic accuracy of the prostate cancer antigen 3 (PCA3) test before performing the first biopsy compared with prostate biopsy for the diagnosis of prostate cancer. Methods: A systematic search was performed in MEDLINE, EMBASE, CENTRAL, LILACS, reference lists, specialized journals in urology and cancer, and unpublished literature. The population was adults with suspected prostate cancer, and the intervention was the measurement of PCA3 in urine samples for the diagnosis of prostate cancer. The quality of studies was evaluated with the Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) tool. The operative characteristics were determined, and a meta-analysis was performed. Results: Nine studies of diagnostic tests were included based on a cutoff value of 35. The following overall values were obtained: the sensitivity was 0.69 (95% confidence interval [CI] 0.61–0.75); specificity was 0.65 (95% CI 0.553–0.733); the diagnostic odds ratio (DOR) was 4.244 (95% CI 3.487–5.166); and the area under the curve was 0.734 (95% CI 0.674–0.805) with a heterogeneity of 0%. Conclusions: Urinary PCA3 has an acceptable diagnostic accuracy, aids in the study of patients with suspected prostate cancer, and can be used as a guide for directing the performance of the first prostate biopsy and decreasing unnecessary biopsies.

Prostate health index (phi) and prostate cancer antigen 3 (PCA3) significantly improve diagnostic accuracy in patients undergoing prostate biopsy

The Prostate ◽  
2012 ◽  
Vol 73 (3) ◽  
pp. 227-235 ◽  
Author(s):  
Sisto Perdonà ◽  
Dario Bruzzese ◽  
Matteo Ferro ◽  
Riccardo Autorino ◽  
Ada Marino ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Diagnostic Accuracy ◽  
Prostate Biopsy ◽  
Health Index ◽  
Cancer Antigen ◽  
Prostate Health Index ◽  
Prostate Cancer Antigen ◽  
Prostate Health

scholarly journals Diagnostic accuracy of Doppler ultrasound, CT and MRI in Budd Chiari syndrome: systematic review and meta-analysis

2020 ◽  
Vol 93 (1109) ◽  
pp. 20190847 ◽  
Author(s):  
Pankaj Gupta ◽  
Varun Bansal ◽  
Praveen Kumar-M ◽  
Saroj K Sinha ◽  
Jayanta Samanta ◽  
...  
Keyword(s):  
Diagnostic Accuracy ◽  
Doppler Ultrasound ◽  
Meta Analysis ◽  
Area Under The Curve ◽  
Diagnostic Odds Ratio ◽  
Budd Chiari Syndrome ◽  
Chiari Syndrome ◽  
Sensitivity Specificity ◽  
Ct And Mri

Objective: To evaluate the sensitivity, specificity, and diagnostic odds ratio (DOR) of Doppler ultrasound, CT, and MRI in the diagnosis of Budd Chiari syndrome (BCS). Methods: We performed a literature search in PubMed, Embase, and Scopus to identify articles reporting the diagnostic accuracy of Doppler ultrasound, CT, and MRI (either alone or in combination) for BCS using catheter venography or surgery as the reference standard. The quality of the included articles was assessed by using the Quality Assessment of Diagnostic Accuracy Studies-2 tool. Results: 11 studies were found eligible for inclusion. Pooled sensitivities and specificities of Doppler ultrasound were 89% [95% confidence interval (CI), 81–94%, I2 = 24.7%] and 68% (95% CI, 3–99%, I2 = 95.2%), respectively. Regarding CT, the pooled sensitivities and specificities were 89% (95% CI, 77–95%, I2 = 78.6%) and 72% (95% CI, 21–96%, I2 = 91.4%), respectively. The pooled sensitivities and specificities of MRI were 93% (95% CI, 89–96%, I2 = 10.6%) and 55% (95% CI, 5–96%, I2 = 87.6%), respectively. The pooled DOR for Doppler ultrasound, CT, and MRI were 10.19 (95% CI: 1.5, 69.2), 14.57 (95% CI: 1.13, 187.37), and 20.42 (95% CI: 1.78, 234.65), respectively. The higher DOR of MRI than that of Doppler ultrasound and CT shows the better discriminatory power. The area under the curve for MRI was 90.8% compared with 88.4% for CT and 86.6% for Doppler ultrasound. Conclusion: Doppler ultrasound, CT and MRI had high overall diagnostic accuracy for diagnosis of BCS, but substantial heterogeneity was found. Prospective studies are needed to investigate diagnostic performance of these imaging modalities. Advances in knowledge: MRI and CT have the highest meta-analytic sensitivity and specificity, respectively for the diagnosis of BCS. Also, MRI has the highest area under curve for the diagnosis of BCS.

scholarly journals Prostate cancer antigen 3 moderately improves diagnostic accuracy in Chinese patients undergoing first prostate biopsy

2017 ◽  
Vol 19 (2) ◽  
pp. 238 ◽  
Author(s):  
Ying-Hao Sun ◽  
Fu-Bo Wang ◽  
Rui Chen ◽  
Shan-Cheng Ren ◽  
Xiao-Lei Shi ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Diagnostic Accuracy ◽  
Prostate Biopsy ◽  
Chinese Patients ◽  
Cancer Antigen ◽  
Prostate Cancer Antigen

scholarly journals The Potential Diagnostic Accuracy of Circulating MicroRNAs for Leukemia: A Meta-Analysis

2021 ◽  
Vol 20 ◽  
pp. 153303382110119
Author(s):  
Wen-Ting Zhang ◽  
Guo-Xun Zhang ◽  
Shuai-Shuai Gao
Keyword(s):  
Diagnostic Accuracy ◽  
Likelihood Ratio ◽  
Subgroup Analysis ◽  
Meta Analysis ◽  
Area Under The Curve ◽  
Positive Likelihood Ratio ◽  
Negative Likelihood Ratio ◽  
Diagnostic Odds Ratio ◽  
Circulating Micrornas ◽  
Sensitivity Specificity

Background: Leukemia is a common malignant disease in the human blood system. Many researchers have proposed circulating microRNAs as biomarkers for the diagnosis of leukemia. We conducted a meta-analysis to evaluate the diagnostic accuracy of circulating miRNAs in the diagnosis of leukemia. Methods: A comprehensive literature search (updated to October 13, 2020) in PubMed, EMBASE, Web of Science, Cochrane Library, Wanfang database and China National Knowledge Infrastructure (CNKI) was performed to identify eligible studies. The sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and area under the curve (AUC) for diagnosing leukemia were pooled for both overall and subgroup analysis. The meta-regression and subgroup analysis were performed to explore heterogeneity and Deeks’ funnel plot was used to assess publication bias. Results: 49 studies from 22 publications with a total of 3,489 leukemia patients and 2,756 healthy controls were included in this meta-analysis. The overall sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, diagnostic odds ratio and area under the curve were 0.83, 0.92, 10.8, 0.18, 59 and 0.94, respectively. Subgroup analysis shows that the microRNA clusters of plasma type could carry out a better diagnostic accuracy of leukemia patients. In addition, publication bias was not found. Conclusions: Circulating microRNAs can be used as a promising noninvasive biomarker in the early diagnosis of leukemia.

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 EUS-Guided FNA for Diagnosis of Pancreatic Cystic Lesions: a Meta-Analysis

2015 ◽  
Vol 36 (3) ◽  
pp. 1197-1209 ◽  
Author(s):  
Qi-Xian Wang ◽  
Jun Xiao ◽  
Matthew Orange ◽  
Hu Zhang ◽  
You-Qing Zhu
Keyword(s):  
Diagnostic Accuracy ◽  
Meta Analysis ◽  
Diagnostic Odds Ratio ◽  
Needle Aspiration ◽  
Cystic Lesions ◽  
Clinical Tool ◽  
Current Standard ◽  
Summary Receiver Operating Characteristic ◽  
Fluid Analysis

Background: Preoperative diagnosis of pancreatic cystic lesions (PCLs) must be reliable as the current standard treatment, major or total pancreatectomy, dramatically affects quality of life. Additionally, early diagnosis of malignancy is essential to an improved prognosis. The diagnostic accuracy of fluid analysis using endoscopic ultrasonography-guided fine-needle aspiration (EUS-FNA) has been demonstrated in pancreatic solid lesions. The utility of this technique in the diagnosis of PCLs is still unknown. Methods: A comprehensive search was performed in multiple databases. Studies differentiating benign and malignant PCLs via EUS-FNA were included in this meta-analysis. The quality of diagnostic accuracy studies (QUADAS) was adopted to evaluate the selected studies. Pooled sensitivity, specificity, likelihood ratio, diagnostic odds ratio, and summary receiver operating characteristic (sROC) curve analyses were conducted. Two main classification types of malignancy were characterized and analyzed. We also generated a subgroup analysis of available clinical factors. Publication bias was evaluated by Begg's and Egger's tests. Results: Sixteen studies containing 1024 subjects have been published. The pooled sensitivity for malignant cytology according to classification 1 was 0.51 (95% CI, 0.45-0.58), and pooled specificity was 0.94 (95% CI, 0.92-0.96). When the detected PCLs were identified as classification 2, suspicious malignancy or potential malignancy, sensitivity and specificity were similar, 0.52 (95% CI, 0.46-0.57) and 0.97 (95% CI, 0.95-0.98) respectively. Conclusion: This meta-analysis demonstrates that EUS-FNA is a reliable clinical tool for the diagnosis of PCLs. However, a more accurate algorithm is needed to reduce various biases and to improve the sensitivity of EUS-FNA in the detection of malignant PCLs.

scholarly journals Diagnostic Performance of the Prostate Cancer Antigen 3 Test in Prostate Cancer: Systematic Review and Meta-analysis

2020 ◽  
Vol 18 (5) ◽  
pp. 402-408.e5 ◽  
Author(s):  
Donghyun Lee ◽  
Sung Ryul Shim ◽  
Sun Tae Ahn ◽  
Mi Mi Oh ◽  
Du Geon Moon ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Systematic Review ◽  
Diagnostic Performance ◽  
Meta Analysis ◽  
Cancer Antigen ◽  
Prostate Cancer Antigen

Initial Prostate Biopsy: Development and Internal Validation of a Biopsy-specific Nomogram Based on the Prostate Cancer Antigen 3 Assay

2013 ◽  
Vol 63 (2) ◽  
pp. 201-209 ◽  
Author(s):  
Jens Hansen ◽  
Marco Auprich ◽  
Sascha A. Ahyai ◽  
Alexandre de la Taille ◽  
Hendrik van Poppel ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Prostate Biopsy ◽  
Cancer Antigen ◽  
Internal Validation ◽  
Prostate Cancer Antigen

scholarly journals MicroRNAs as Biomarkers for the Diagnosis of Ankylosing Spondylitis: A Systematic Review and Meta-Analysis

2021 ◽  
Vol 8 ◽  
Author(s):  
Jiangbi Li ◽  
Xiaoping Xie ◽  
Weibing Liu ◽  
Feng Gu ◽  
Ke Zhang ◽  
...  
Keyword(s):  
Ankylosing Spondylitis ◽  
Diagnostic Accuracy ◽  
Likelihood Ratio ◽  
Meta Analysis ◽  
Area Under The Curve ◽  
Positive Likelihood Ratio ◽  
Negative Likelihood Ratio ◽  
Diagnostic Odds Ratio ◽  
Good Diagnostic Accuracy ◽  
Sensitivity Specificity

Background: Abnormal expression levels of microRNAs (miRNAs) were observed in ankylosing spondylitis (AS) in recent articles, suggesting that miRNAs may be used as biomarkers for AS diagnoses. In this paper, we conducted a meta-analysis to identify the overall diagnostic accuracy of miRNA biomarkers in AS patients.Methods: An extensive search was undertaken in PubMed, Embase, Cochrane databases, and Wan Fang database up to 30 December 2020 using the following key words: (“microRNAs” or “microRNA” or “miRNA” or “miR” or “RNA, Micro” or “Primary MicroRNA”) and (“Spondylitis Ankylosing” or “Spondyloarthritis Ankylopoietica” or “Ankylosing Spondylarthritis” or “Ankylosing Spondylarthritides” or “Spondylarthritides Ankylosing” or “Ankylosing Spondylitis”) and (“blood” or “serum” or “plasma”). Statistical evaluation of dysregulated miRNAs using the sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and the area under the curve (AUC).Results: Twenty-nine articles reporting on the miRNAs of AS were included. A total of 42 miRNAs were observed to be up-regulated and 45 miRNAs were down-regulated in the AS cases compared with the controls. Besides, 29 studies from nine articles were included in our meta-analysis. The pooled sensitivity, specificity, PLR, NLR, DOR, and AUC were 0. 76 (95% CI, 0.70–0.81), 0.80 (95% CI, 0.74–0.85), 3.75 (95% CI, 2.82–5.01), 0.30 (95% CI, 0.24–0.39), 12.32 (95% CI, 7.65–19.83), 0.85 (95% CI, 0.81–0.88), respectively, suggesting a good diagnostic accuracy of miRNAs for AS.Conclusions: Circulating miRNAs are deregulated in AS patients. miRNAs may be used as a relatively non-invasive biomarkers for the detection of AS.

scholarly journals Comparison of diagnostic accuracy of Midkine and AFP for detecting hepatocellular carcinoma: a systematic review and meta-analysis

2020 ◽  
Vol 40 (3) ◽  
Author(s):  
Qingqing Lu ◽  
Jie Li ◽  
Hui Cao ◽  
Chenlu Lv ◽  
Xiaolin Wang ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Diagnostic Accuracy ◽  
Hepatitis Virus ◽  
Early Stage ◽  
Meta Analysis ◽  
Area Under The Curve ◽  
Cochrane Library ◽  
Sensitivity Specificity ◽  
The Cochrane Library

Abstract Objective: Midkine (MDK) has been proposed as one of the most promising markers for hepatocellular carcinoma (HCC). This meta-analysis was conducted to compare the diagnostic accuracy of MDK and α-fetoprotein (AFP) for HCC. Methods: We systematically searched PubMed/MEDLINE, Ovid/EMBASE, and the Cochrane Library for all relevant studies up to 18 May 2019. The Revised Quality Assessment for Studies of Diagnostic Accuracy tool (QUADAS-2) was used to assess the methodological quality of the included studies. The sensitivity, specificity, and the area under the curve (AUC) of MDK and AFP for detecting HCC were pooled using random-effects model. Results: Seventeen studies from five articles with a total of 1122 HCC patients and 2483 controls were included. The summary estimates using MDK and AFP for detecting HCC were as follows: sensitivity, 85 vs 52%, specificity, 82 vs 94%, and AUC, 0.90 vs 0.83. The summary estimates using MDK and AFP for detecting hepatitis virus-related HCC as follows: sensitivity, 93 vs 74%, specificity, 85 vs 97%, and AUC, 0.95 vs 0.97. The summary estimates using MDK and AFP for detecting early-stage HCC were as follows: sensitivity, 83.5 vs 44.4%, specificity, 81.7 vs 84.8%, and AUC, 0.87 vs 0.52. The summary estimates using MDK for detecting AFP-negative HCC as follows: sensitivity, 88.5%, specificity, 83.9%, and AUC, 0.91. Conclusion: MDK is more accurate than AFP in diagnosing HCC, especially for early-stage HCC and AFP-negative HCC. Both MDK and AFP had excellent diagnostic performance for hepatitis virus-related HCC.

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