Benchmark dose modeling for epidemiological dose-response assessment using prospective cohort studies.
Benchmark dose modeling for epidemiological dose-response assessment using prospective cohort studies.
复制标题
使用前瞻性队列研究进行流行病学剂量反应评估的基准剂量模型。
DOI：
10.1111/risa.14196
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发表时间：
2024
期刊：
影响因子：
--
通讯作者：
Shao,Kan
中科院分区：
文献类型：
--
作者：
DePretis,Francesco;Zhou,Yun;Xun,Pengcheng;Shao,Kan
基准剂量 (BMD) 方法已被用作默认剂量反应建模方法，以确定化学品的毒性值，以支持监管化学品风险评估。特别是，在输入数据格式、剂量反应模型、基准响应定义和模型不确定性考虑方面，建立了相对标准化的BMD分析框架，用于毒理学数据建模。然而，BMD方法在流行病学数据方面尚未得到很好的发展，这主要是因为流行病学研究的设计多样化以及文献报道的数据格式多样。尽管大多数流行病学 BMD 分析都是为了解决特定问题而开发的，但最近两项研究中提出的方法能够使用汇总数据并考虑混杂因素的调整来处理队列和病例对照研究。因此，本研究的目的是调查和比较基于“有效计数”的 BMD 建模方法和基于调整相对风险（RR）的 BMD 分析方法，以确定合适的 BMD 建模框架，该框架可推广用于分析已发表的前瞻性队列研究数据以进行 BMD 分析。这两种方法应用于同一组研究，这些研究调查了膀胱癌和肺癌与用于 BMD 估算的无机砷暴露之间的关联。结果表明，估计的 BMD 和 BMDL 相对一致；然而，考虑到 BMD 分析中既定的常见做法，将调整后的 RR 值建模为 BMD 估计的连续数据是一种更通用的方法，与使用毒理学数据的 BMD 方法相协调。
Benchmark dose (BMD) methodology has been employed as a default dose–response modeling approach to determine the toxicity value of chemicals to support regulatory chemical risk assessment. Especially, a relatively standardized BMD analysis framework has been established for modeling toxicological data regarding the formats of input data, dose–response models, definitions of benchmark response, and model uncertainty consideration. However, the BMD approach has not been well developed for epidemiological data mainly because of the diverse designs of epidemiological studies and various formats of data reported in the literature. Although most of the epidemiological BMD analyses were developed to solve a particular question, the methods proposed in two recent studies are able to handle cohort and case–control studies using summary data with consideration of adjustments for confounders. Therefore, the purpose of the present study is to investigate and compare the “effective count”‐based BMD modeling approach and adjusted relative risk (RR)‐based BMD analysis approach to identify an appropriate BMD modeling framework that can be generalized for analyzing published data of prospective cohort studies for BMD analysis. The two methods were applied to the same set of studies that investigated the association between bladder and lung cancer and inorganic arsenic exposure for BMD estimation. The results suggest that estimated BMDs and BMDLs are relatively consistent; however, with the consideration of established common practice in BMD analysis, modeling adjusted RR values as continuous data for BMD estimation is a more generalizable approach harmonized with the BMD approach using toxicological data.