Perletti Gianpaolo, Monti Elena, Magri Vittorio, Cai Tommaso, Cleves Anne, Trinchieri Alberto, Montanari Emanuele
Department of Biotechnology and Life Sciences, Università degli Studi dell'Insubria, Busto A., Italy Department of Human Structure and Repair, Faculty of Medicine and Medical Sciences, Ghent University, Ghent, Belgium.
Arch Ital Urol Androl. 2017 Dec 31;89(4):259-265. doi: 10.4081/aiua.2017.4.259.
The main outcome of this review was the association between a history of clinical chronic prostatitis (NIH category II or III) and a histologically confirmed diagnosis of prostate cancer.
Crude odds ratios and 95% confidence intervals (CI) were calculated to analyze dichotomous data. For analysis of pooled data we adopted a random-effects model and the inverse variance weighing method. Heterogeneity was assessed by calculating the I2 value.
Out of 2794 screened records, we retrieved 16 full-text articles written in English, reporting the data of 15 case-control studies, involving 422.943 patients. Pooled analysis resulted in a significant crude odds ratio of 1.83 (95% CI: 1.43 to 2.35; P < 0.00001). The total set of data showed considerable heterogeneity (I2 = 91%). Both the Egger's test and the Begg's test for funnel plot asymmetry did not reach statistical significance. The 'trim and fill' method applied to the funnel plot imputed 3 missing studies and the resulting adjusted estimate of the odds ratio was 2.12 (95% CI: 1.38 to 3.22). According to GRADE criteria, the overall quality of the meta-analysis data is low, mainly due to the presence of bias, confounders and extreme effect size outliers. Five among the included studies reported data assessed in 8015 African-American subjects. Pooled analysis resulted in a non-significant crude odds ratio of 1.59 (95% CI: 0.71 to 3.57; P = 0.26), and considerable heterogeneity (I2 = 90%).
Meta-analysis of 15 case-control studies shows that a history of clinical chronic prostatitis can significantly increase the odds for prostate cancer in the general population, whereas such association in African-American individuals remains uncertain.
本综述的主要结果是临床慢性前列腺炎病史(美国国立卫生研究院II类或III类)与组织学确诊的前列腺癌之间的关联。
计算粗比值比和95%置信区间(CI)以分析二分数据。对于汇总数据的分析,我们采用随机效应模型和逆方差加权法。通过计算I2值评估异质性。
在2794条筛选记录中,我们检索到16篇英文全文文章,报告了15项病例对照研究的数据,涉及422943名患者。汇总分析得出显著的粗比值比为1.83(95%CI:1.43至2.35;P<0.00001)。数据集总体显示出相当大的异质性(I2 = 91%)。Egger检验和Begg漏斗图不对称性检验均未达到统计学显著性。应用于漏斗图的“修剪和填充”方法估算了3项缺失研究,得出的调整后比值比估计值为2.12(95%CI:1.38至3.22)。根据GRADE标准,荟萃分析数据的总体质量较低,主要是由于存在偏倚、混杂因素和极端效应量异常值。纳入研究中的五项报告了在8015名非裔美国受试者中评估的数据。汇总分析得出不显著的粗比值比为1.59(95%CI:0.71至3.57;P = 0.26),且异质性相当大(I2 = 90%)。
对15项病例对照研究的荟萃分析表明,临床慢性前列腺炎病史可显著增加普通人群患前列腺癌的几率,而非裔美国个体中的这种关联仍不确定。