{"title":"评估 1,3-丁二烯与白血病研究中的暴露-反应关系","authors":"Evangelia E. Antoniou, Chris Kirman","doi":"10.13075/ijomeh.1896.02387","DOIUrl":null,"url":null,"abstract":"Objectives: 1,3-Butadiene (BD) exposure’s link to leukemia is under regulatory scrutiny. The assessment methods for BD exposure risks have evolved from early animal and limited human studies to advanced exposure-response modelling with comprehensive quantitative data. The objec-tive of this study is to explore the nuances of exposure-response modelling, investigating how various statistical methods have influenced the quantification of exposure-response relationships. Material and Methods: Although this study was not conducted as a formal systematic review, a search was performed in Medline/Pubmed to identify all human studies on leukemia risk assessment for BD exposure. This search included articles written in English. The electronic search spanned from inception of records until July 23, 2023, using the search term: “butadiene AND (leukaemia OR leukemia OR myeloid OR lymphoid)” and was restricted to human species. Focusing on the synthetic styrene-butadiene rubber (SBR) industry cohort study conducted by the University of Alabama at Birmingham, USA, this review evaluates various statistical models and factors influencing exposure-response modelling. Results: Peak exposures to BD may be more influential in the dose-response relationship than cumulative or long-term exposure. The authors recommend utilizing β-coefficients derived from the latest SBR study update, employing Cox proportional hazard modelling, non-lagged and non-transformed cumulative BD exposure, and adjusting for age and peak BD exposure. The study reveals that statistical model selection has a limited impact on the calculated dose-response effects. The significant variation in estimated cancer mortality values arises from additional assumptions needed for metrics like the excess leukemia risk or the occupational BD effective concentration. Conclusions: In conclusion, this study provides insights into exposure-response modelling for BD exposure and leukemia mortality, highlighting the importance of peak exposures. The recommended statistical approach offers a reliable basis for regulatory risk assessment and public health population metrics. Int J Occup Med Environ Health 2024;37(3)","PeriodicalId":14173,"journal":{"name":"International journal of occupational medicine and environmental health","volume":null,"pages":null},"PeriodicalIF":1.4000,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Evaluating exposure-response relationship in 1,3-butadiene and leukemia studies\",\"authors\":\"Evangelia E. 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The electronic search spanned from inception of records until July 23, 2023, using the search term: “butadiene AND (leukaemia OR leukemia OR myeloid OR lymphoid)” and was restricted to human species. Focusing on the synthetic styrene-butadiene rubber (SBR) industry cohort study conducted by the University of Alabama at Birmingham, USA, this review evaluates various statistical models and factors influencing exposure-response modelling. Results: Peak exposures to BD may be more influential in the dose-response relationship than cumulative or long-term exposure. The authors recommend utilizing β-coefficients derived from the latest SBR study update, employing Cox proportional hazard modelling, non-lagged and non-transformed cumulative BD exposure, and adjusting for age and peak BD exposure. The study reveals that statistical model selection has a limited impact on the calculated dose-response effects. The significant variation in estimated cancer mortality values arises from additional assumptions needed for metrics like the excess leukemia risk or the occupational BD effective concentration. Conclusions: In conclusion, this study provides insights into exposure-response modelling for BD exposure and leukemia mortality, highlighting the importance of peak exposures. The recommended statistical approach offers a reliable basis for regulatory risk assessment and public health population metrics. 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引用次数: 0
摘要
目的:1,3-丁二烯(BD)暴露与白血病之间的联系正受到监管部门的严格审查。对 BD 暴露风险的评估方法已从早期的动物研究和有限的人体研究发展到具有全面定量数据的先进暴露反应模型。本研究的目的是探索暴露-反应模型的细微差别,研究各种统计方法如何影响暴露-反应关系的量化。材料与方法:虽然本研究不是作为正式的系统性综述进行的,但我们在 Medline/Pubmed 上进行了搜索,以确定所有关于暴露于 BD 的白血病风险评估的人类研究。该搜索包括英文文章。电子检索的时间跨度从开始记录到 2023 年 7 月 23 日,检索词为:"丁二烯和(白血病)":"丁二烯 AND (leukaemia OR leukemia OR myeloid OR lymphoid)",并仅限于人类物种。本综述以美国阿拉巴马大学伯明翰分校进行的合成丁苯橡胶(SBR)行业队列研究为重点,评估了各种统计模型和影响暴露-反应模型的因素。结果:在剂量-反应关系中,BD 的峰值暴露可能比累积或长期暴露更具影响力。作者建议使用从最新 SBR 研究更新中得出的 β 系数,采用 Cox 比例危险模型、非滞后和非转换的累积 BD 暴露,并对年龄和 BD 暴露峰值进行调整。研究表明,统计模型选择对计算出的剂量反应效应影响有限。癌症死亡率估计值的巨大差异来自于超量白血病风险或职业性 BD 有效浓度等指标所需的额外假设。结论总之,这项研究为建立 BD 暴露和白血病死亡率的暴露-反应模型提供了见解,突出了峰值暴露的重要性。推荐的统计方法为监管风险评估和公共卫生人群指标提供了可靠的依据。Int J Occup Med Environ Health 2024;37(3)
Evaluating exposure-response relationship in 1,3-butadiene and leukemia studies
Objectives: 1,3-Butadiene (BD) exposure’s link to leukemia is under regulatory scrutiny. The assessment methods for BD exposure risks have evolved from early animal and limited human studies to advanced exposure-response modelling with comprehensive quantitative data. The objec-tive of this study is to explore the nuances of exposure-response modelling, investigating how various statistical methods have influenced the quantification of exposure-response relationships. Material and Methods: Although this study was not conducted as a formal systematic review, a search was performed in Medline/Pubmed to identify all human studies on leukemia risk assessment for BD exposure. This search included articles written in English. The electronic search spanned from inception of records until July 23, 2023, using the search term: “butadiene AND (leukaemia OR leukemia OR myeloid OR lymphoid)” and was restricted to human species. Focusing on the synthetic styrene-butadiene rubber (SBR) industry cohort study conducted by the University of Alabama at Birmingham, USA, this review evaluates various statistical models and factors influencing exposure-response modelling. Results: Peak exposures to BD may be more influential in the dose-response relationship than cumulative or long-term exposure. The authors recommend utilizing β-coefficients derived from the latest SBR study update, employing Cox proportional hazard modelling, non-lagged and non-transformed cumulative BD exposure, and adjusting for age and peak BD exposure. The study reveals that statistical model selection has a limited impact on the calculated dose-response effects. The significant variation in estimated cancer mortality values arises from additional assumptions needed for metrics like the excess leukemia risk or the occupational BD effective concentration. Conclusions: In conclusion, this study provides insights into exposure-response modelling for BD exposure and leukemia mortality, highlighting the importance of peak exposures. The recommended statistical approach offers a reliable basis for regulatory risk assessment and public health population metrics. Int J Occup Med Environ Health 2024;37(3)
期刊介绍:
The Journal is dedicated to present the contemporary research in occupational and environmental health from all over the world. It publishes works concerning: occupational and environmental: medicine, epidemiology, hygiene and toxicology; work physiology and ergonomics, musculoskeletal problems; psychosocial factors at work, work-related mental problems, aging, work ability and return to work; working hours, shift work; reproductive factors and endocrine disruptors; radiation, ionizing and non-ionizing health effects; agricultural hazards; work safety and injury and occupational health service; climate change and its effects on health; omics, genetics and epigenetics in occupational and environmental health; health effects of exposure to nanoparticles and nanotechnology products; human biomarkers in occupational and environmental health, intervention studies, clinical sciences’ achievements with potential to improve occupational and environmental health.