使用病例控制研究进行流行病学剂量反应评估的基准剂量建模.
Francesco De Pretis1,2, Yun Zhou1, Kan Shao1
1Department of Environmental and Occupational Health, School of Public Health, Indiana University Bloomington, Bloomington, Indiana, USA.
概括
本研究比较了两种方法,用于毒理风险评估,使用病例控制研究和几率比率 (OR). 建议将调整的ORs作为连续数据进行建模,以获得更具概括性的基准剂量 (BMD) 方法.
科学领域:
- 环境毒理学环境毒理学
- 流行病学 流行病学
- 风险评估 风险评估
背景情况:
- 毒理风险评估传统上使用前性队列研究.
- 这项研究将毒理风险评估扩展到使用几率比率 (OR) 的病例对照研究.
- 对于毒理学数据,有一个标准化的基准剂量 (BMD) 框架.
研究的目的:
- 为了比较两个BMD建模方法用于病例控制研究:有效计数 (Wang算法) 与调整的OR.
- 为已公布的病例控制研究数据开发一个通用的BMD建模框架.
- 应用和比较使用无机和癌症风险数据的方法.
主要方法:
- 作为主要的流行病学指标,利用的几率比率 (OR).
- 应用基准剂量 (BMD) 方法用于剂量反应建模.
- 将"有效计数"BMD方法 (使用王算法) 与调整的OR-based BMD分析进行比较.
- 利用了膀和肺癌与无机暴露相关的数据库.
主要成果:
- 两种比较的BMD方法都产生了相对一致的BMD和BMDL估计值.
- 调整的ORs作为连续数据的建模表明,与已建立的毒理 BMD 实践更好地协调.
- 经调整的OR-based BMD 分析方法被证明更可通用.
结论:
- 在毒理风险评估中,建议采用调整的几率比率基准剂量 (BMD) 建模方法来分析病例对照研究.
- 这种方法提供了更好的概括性,并与现有的毒理学数据分析实践保持一致.
- 该研究为分析已公布的病例控制数据提供了一个框架,增强化学毒性评估.
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