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Occupational exposure to pesticides and prostate cancer: a systematic review and meta-analysis

机译:职业性接触农药和前列腺癌:系统评价和荟萃分析

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Epidemiological studies on exposure to pesticides and risk of prostate cancer (PC) provide inconsistent results. We aimed to explore various potential sources of heterogeneity not previously assessed and to derive updated risk estimates from homogenous studies. We searched PubMed, Web of Science and Scopus databases for case-control and cohort studies published from 1985 to April 2014. We assessed the quality of the articles using the Newcastle-Ottawa Scale. Pooled estimates were calculated using random-effects models. Heterogeneity was explored using subset analyses and metaregression. Fifty-two studies were included in the review and 25 in the meta-analysis. No association was found between low exposure to pesticides and PC, but association was significant for high exposure, pooled OR 1.33 (1.02 to 1.63), I-2= 44.8%, p= 0.024. Heterogeneity was explained by a number of variables including method used to assess exposure. Pooled OR was weak and non-significant for studies measuring serum pesticide level, 1.12 (0.74 to 1.50), I-2= 0.00%, p= 0.966. For studies applying self-reporting of exposure, pooled estimate was 1.34 (0.91 to 1.77), I-2= 0.00%, p= 0.493, while a high significant association was detected for grouped exposure assessment, 2.24 (1.36 to 3.11), I-2= 0.00%, p= 0.955. In spite of a weak significant association detected when pooling ORs for high occupational exposure to pesticides, the magnitude of the association was related to the method of exposure assessment used by the original studies. A family history-pesticide exposure interaction was also observed for a number of pesticides.
机译:关于农药接触和前列腺癌(PC)风险的流行病学研究结果不一致。我们旨在探索以前未评估的各种潜在异质性来源,并从同质研究中获得更新的风险估计。我们在PubMed,Web of Science和Scopus数据库中进行了1985年至2014年4月发表的病例对照研究和队列研究。我们使用Newcastle-Ottawa量表评估了文章的质量。使用随机效应模型计算汇总估计。使用子集分析和元回归探索异质性。该评价包括52项研究,荟萃分析中包括25项研究。在农药的低暴露量与PC之间未发现关联,但对于高暴露量则显着关联,汇总OR为1.33(1.02至1.63),I-2 = 44.8%,p = 0.024。异质性由许多变量解释,包括用于评估暴露的方法。对于测量血清农药水平的研究,合并OR弱且不显着,为1.12(0.74至1.50),I-2 = 0.00%,p = 0.966。对于应用暴露自我报告的研究,合并估计值为1.34(0.91至1.77),I-2 = 0.00%,p = 0.493,而分组暴露评估中发现高度相关性为2.24(1.36至3.11),I -2 = 0.00%,p = 0.955。尽管在汇总OR以获得较高的农药职业暴露时检测到显着的弱关联,但关联的程度与原始研究使用的暴露评估方法有关。还观察到许多农药的家族史-农药接触相互作用。

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