Feng Zhi-Jun, Xue Chong, Wen Jia-Ming, Li Yi, Wang Ming, Zhang Nan
Clin Lab. 2017 Jan 1;63(1):147-155. 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.
本研究旨在评估前列腺特异性抗原密度(PSAD)检测在前列腺癌诊断中的价值。
我们在2015年6月之前检索了包括PubMed、Medline、Springer、Elsevier Science Direct、Cochrane图书馆和谷歌学术在内的公共数据库。在这项荟萃分析中,从已发表的研究中分析了PSAD检测在前列腺癌患者中的特异性、阳性似然比、阴性似然比和诊断比值比。我们将Meta-DiSc 1.4和Stata 11.0软件应用于荟萃分析。
荟萃分析共纳入了11项独立研究,涉及1821名参与者。该荟萃分析结果表明,PSAD检测对前列腺癌的敏感性、特异性、阳性似然比(LR)、阴性似然比和诊断比值比(dOR)分别为0.73(95%可信区间=0.69至0.78)、0.64(95%可信区间=0.61至0.66)、2.13(95%可信区间=1.64至2.76)、0.45(95%可信区间=0.35至0.57)和5.87(95%可信区间=4.42至7.81)。结果还显示,曲线下面积(AUC)和Q*指数分别为0.77和0.71。Egger线性回归检验结果显示不存在发表偏倚(p>0.05)。
总体而言,我们的结果表明,PSAD检测的特异性、阳性LR、阴性LR、dOR、曲线下面积(AUC)和Q*指数可能适用于检测前列腺癌。