PSAD Test in the Diagnosis of Prostate Cancer: a Meta-Analysis

• Published in: Clinical laboratory (Heidelberg) Vol. 63; no. 1; p. 147
• Main Authors: Feng, Zhi-Jun, Xue, Chong, Wen, Jia-Ming, Li, Yi, Wang, Ming, Zhang, Nan
• Format: Journal Article
• Language: English
• Published: Germany 01.01.2017
• Subjects: Aged; Antigens, Neoplasm - blood; Area Under Curve; Chi-Square Distribution; GPI-Linked Proteins - blood; Humans; Likelihood Functions; Linear Models; Male; Neoplasm Proteins - blood; Odds Ratio; Predictive Value of Tests; Prognosis; Prostatic Neoplasms - blood; Prostatic Neoplasms - diagnosis; Prostatic Neoplasms - therapy; ROC Curve
• ISSN: 1433-6510
• DOI: 10.7754/Clin.Lab.2016.160727

The aim of this study is to evaluate the diagnostic value of prostate-specific antigen density (PSAD) test in detecting prostate cancer. We searched public databases including PubMed, Medline, Springer, Elsevier Science Direct, Cochrane Library, and Google scholar before June 2015. In this meta-analysis, specificity, positive LR, negative LR, and dOR of PSAD test in patients with prostate cancer were analyzed from published studies. We applied Meta-DiSc 1.4 and Stata 11.0 software to the meta-analysis. A total of 11 separate studies consisting of 1821 participants were considered in the meta-analysis. The results of this meta-analysis indicated that sensitivity, specificity, positive Likelihood Ratio (LR), negative LR, and Diagnostic Odds Ratio (dOR) of PSAD test for prostate cancer were 0.73 (95% CI = 0.69 to 0.78), 0.64 (95% CI = 0.61 to 0.66), 2.13 (95% CI = 1.64 to 2.76), 0.45 (95% CI = 0.35 to 0.57), and 5.87 (95% CI = 4.42 to 7.81), respectively. It also showed that the AUC and Q* index were 0.77 and 0.71, respectively. The results of the Egger's linear regression test showed that no publication bias existed (p > 0.05). In general, our results show that specificity, positive LR, negative LR, dOR, the area under the curve (AUC), and Q * index of PSAD test may be appropriate for detecting prostate cancer.