Suppr超能文献

揭开隐藏的危险:对单一职业风险与前列腺癌病例对照研究的十年系统评价

Unmasking the Hidden Danger: A Decade-Long Systematic Review of Case-Control Studies on Single Occupational Risks and Prostate Cancer.

作者信息

Ledda Caterina, Bracci Massimo, Spadafora Alba, Motta Giuseppe, Smecca Giuseppe, Catelan Dolores, Rapisarda Venerando

机构信息

Occupational Medicine, Department of Clinical and Experimental Medicine, University of Catania, 95124 Catania, Italy.

Occupational Medicine, Department of Clinical and Molecular Sciences, Polytechnic University of Marche, 60121 Ancona, Italy.

出版信息

Life (Basel). 2023 Aug 28;13(9):1820. doi: 10.3390/life13091820.

Abstract

The present systematic review addresses the influence of occupational exposures on prostate cancer risk. Eleven studies were analyzed for a range of occupational exposures, including but not limited to firefighting, physical activity, night shift work, chemical exposure, and solar ultraviolet radiation. The results of the review reveal that firefighters exposed to harmful substances, individuals engaged in physically strenuous work, and workers with chronic night shift routines showed an increased likelihood of developing prostate cancer. Moreover, the review identified an increased risk associated with exposure to certain chemicals, including alkylphenolic compounds and benzene-related substances. The evidence underscores the importance of considering the cumulative effect of multiple risk factors in a comprehensive risk assessment. However, the conclusions indicate the necessity for further research to deepen these relationships and develop more effective strategies for the prevention of prostate cancer.

摘要

本系统评价探讨了职业暴露对前列腺癌风险的影响。对11项研究进行了分析,涉及一系列职业暴露,包括但不限于消防工作、体力活动、夜班工作、化学物质暴露和太阳紫外线辐射。评价结果显示,接触有害物质的消防员、从事重体力劳动的个体以及长期上夜班的工人患前列腺癌的可能性增加。此外,评价还发现接触某些化学物质(包括烷基酚类化合物和苯相关物质)会增加风险。证据强调了在综合风险评估中考虑多种风险因素累积效应的重要性。然而,结论表明有必要进一步开展研究,以深化这些关系,并制定更有效的前列腺癌预防策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2abd/10532927/360b40ed330d/life-13-01820-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验