• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

相似文献

1
APROBA-Plus: A probabilistic tool to evaluate and express uncertainty in hazard characterization and exposure assessment of substances.APROBA-Plus:一种用于评估和表达物质危害特征及暴露评估中不确定性的概率工具。
Food Chem Toxicol. 2017 Dec;110:408-417. doi: 10.1016/j.fct.2017.10.038. Epub 2017 Oct 23.
2
Integration of probabilistic exposure assessment and probabilistic hazard characterization.概率暴露评估与概率危害特征描述的整合。
Risk Anal. 2007 Apr;27(2):351-71. doi: 10.1111/j.1539-6924.2007.00887.x.
3
A probabilistic effect assessment model for hazardous substances at the workplace.一种用于工作场所有害物质的概率效应评估模型。
Regul Toxicol Pharmacol. 2006 Mar;44(2):172-81. doi: 10.1016/j.yrtph.2005.11.001. Epub 2005 Dec 13.
4
A Unified Probabilistic Framework for Dose-Response Assessment of Human Health Effects.一种用于人类健康效应剂量反应评估的统一概率框架。
Environ Health Perspect. 2015 Dec;123(12):1241-54. doi: 10.1289/ehp.1409385. Epub 2015 May 22.
5
Assessment of intake from the diet.评估饮食摄入量。
Food Chem Toxicol. 2002 Feb-Mar;40(2-3):327-85. doi: 10.1016/s0278-6915(01)00113-2.
6
Assessing and reporting uncertainties in dietary exposure analysis: Mapping of uncertainties in a tiered approach.评估与报告膳食暴露分析中的不确定性:分层方法中不确定性的映射
Food Chem Toxicol. 2015 Aug;82:79-95. doi: 10.1016/j.fct.2015.04.007. Epub 2015 Apr 15.
7
Probabilistic risk characterization: an example with di(2-ethylhexyl) phthalate.概率风险特征描述:邻苯二甲酸二(2-乙基己基)酯的一个示例
Regul Toxicol Pharmacol. 2005 Oct;43(1):104-13. doi: 10.1016/j.yrtph.2005.06.008.
8
Approaches for describing and communicating overall uncertainty in toxicity characterizations: U.S. Environmental Protection Agency's Integrated Risk Information System (IRIS) as a case study.描述和交流毒性特征整体不确定性的方法:以美国环境保护署综合风险信息系统(IRIS)为例。
Environ Int. 2016 Apr-May;89-90:110-28. doi: 10.1016/j.envint.2015.12.031. Epub 2016 Jan 28.
9
Assessing and reporting uncertainties in dietary exposure analysis - Part II: Application of the uncertainty template to a practical example of exposure assessment.评估与报告膳食暴露分析中的不确定性——第二部分:不确定性模板在暴露评估实例中的应用
Food Chem Toxicol. 2017 Nov;109(Pt 1):68-80. doi: 10.1016/j.fct.2017.07.061. Epub 2017 Aug 2.
10
Exploring the uncertainties in cancer risk assessment using the integrated probabilistic risk assessment (IPRA) approach.使用综合概率风险评估(IPRA)方法探索癌症风险评估中的不确定性。
Risk Anal. 2014 Aug;34(8):1401-22. doi: 10.1111/risa.12194. Epub 2014 Apr 25.

引用本文的文献

1
Uncertainties in the Extrapolation of In Vitro Data in Human Risk Assessment: A Case Study of qIVIVE for Imazalil Using the Monte Carlo Risk Assessment Platform.人体风险评估中体外数据外推的不确定性:使用蒙特卡洛风险评估平台对抑霉唑进行定量体外到体内外推的案例研究
Chem Res Toxicol. 2025 Jun 16;38(6):1006-1018. doi: 10.1021/acs.chemrestox.4c00287. Epub 2025 May 14.
2
The use of canonical dose-response models for benchmark dose analysis of continuous toxicological data.使用标准剂量反应模型进行连续毒理学数据的基准剂量分析。
Crit Rev Toxicol. 2025;55(4):437-461. doi: 10.1080/10408444.2025.2464067. Epub 2025 Apr 9.
3
Reducing uncertainty in dose-response assessments by incorporating Bayesian benchmark dose modeling and in vitro data on population variability.通过纳入贝叶斯基准剂量模型和关于群体变异性的体外数据来降低剂量反应评估中的不确定性。
Risk Anal. 2025 Feb;45(2):457-472. doi: 10.1111/risa.17451. Epub 2024 Aug 16.
4
Bayesian-Based Probabilistic Risk Assessment of Fipronil in Food: A Case Study in Taiwan.基于贝叶斯的氟虫腈在食品中的概率风险评估:以台湾为例
Toxics. 2023 Aug 7;11(8):677. doi: 10.3390/toxics11080677.
5
Probabilistic risk assessment - the keystone for the future of toxicology.概率风险评估——毒理学的未来基石。
ALTEX. 2022;39(1):3-29. doi: 10.14573/altex.2201081.
6
Recent Advances in Probabilistic Dose-Response Assessment to Inform Risk-Based Decision Making.概率剂量反应评估在基于风险的决策中的最新进展。
Risk Anal. 2021 Apr;41(4):596-609. doi: 10.1111/risa.13595. Epub 2020 Sep 23.
7
Probabilistic approach for assessing cancer risk due to benzo[a]pyrene in barbecued meat: Informing advice for population groups.概率方法评估烤肉中苯并[a]芘导致的癌症风险:为人群提供建议。
PLoS One. 2018 Nov 8;13(11):e0207032. doi: 10.1371/journal.pone.0207032. eCollection 2018.

本文引用的文献

1
A Unified Probabilistic Framework for Dose-Response Assessment of Human Health Effects.一种用于人类健康效应剂量反应评估的统一概率框架。
Environ Health Perspect. 2015 Dec;123(12):1241-54. doi: 10.1289/ehp.1409385. Epub 2015 May 22.
2
Assessing and reporting uncertainties in dietary exposure analysis: Mapping of uncertainties in a tiered approach.评估与报告膳食暴露分析中的不确定性:分层方法中不确定性的映射
Food Chem Toxicol. 2015 Aug;82:79-95. doi: 10.1016/j.fct.2015.04.007. Epub 2015 Apr 15.
3
Risk assessment in the 21st century: roadmap and matrix.21世纪的风险评估:路线图与矩阵
Crit Rev Toxicol. 2014 Aug;44 Suppl 3:6-16. doi: 10.3109/10408444.2014.931924.
4
A 21st century roadmap for human health risk assessment.21世纪人类健康风险评估路线图。
Crit Rev Toxicol. 2014 Aug;44 Suppl 3:1-5. doi: 10.3109/10408444.2014.931923.
5
Exploring the uncertainties in cancer risk assessment using the integrated probabilistic risk assessment (IPRA) approach.使用综合概率风险评估(IPRA)方法探索癌症风险评估中的不确定性。
Risk Anal. 2014 Aug;34(8):1401-22. doi: 10.1111/risa.12194. Epub 2014 Apr 25.
6
Integration of probabilistic exposure assessment and probabilistic hazard characterization.概率暴露评估与概率危害特征描述的整合。
Risk Anal. 2007 Apr;27(2):351-71. doi: 10.1111/j.1539-6924.2007.00887.x.

APROBA-Plus:一种用于评估和表达物质危害特征及暴露评估中不确定性的概率工具。

APROBA-Plus: A probabilistic tool to evaluate and express uncertainty in hazard characterization and exposure assessment of substances.

作者信息

Bokkers Bas G H, Mengelers Marcel J, Bakker Martine I, Chiu Weihsueh A, Slob Wout

机构信息

National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands.

National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands.

出版信息

Food Chem Toxicol. 2017 Dec;110:408-417. doi: 10.1016/j.fct.2017.10.038. Epub 2017 Oct 23.

DOI:10.1016/j.fct.2017.10.038
PMID:29074418
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5793872/
Abstract

To facilitate the application of probabilistic risk assessment, the WHO released the APROBA tool. This tool applies lognormal uncertainty distributions to the different aspects of the hazard characterization, resulting in a probabilistic health-based guidance value. The current paper describes an extension, APROBA-Plus, which combines the output from the probabilistic hazard characterization with the probabilistic exposure to rapidly characterize risk and its uncertainty. The uncertainty in exposure is graphically compared with the uncertainty in the target human dose, i.e. the dose that complies with the specified protection goals. APROBA-Plus is applied to several case studies, resulting in distinct outcomes and illustrating that APROBA-Plus could serve as a standard extension of routine risk assessments. By visualizing the uncertainties, APROBA-Plus provides a more transparent and informative outcome than the more usual deterministic approaches, so that risk managers can make better informed decisions. For example, APROBA-Plus can help in deciding whether risk-reducing measures are warranted or that a refined risk assessment would first be needed. If the latter, the tool can be used to prioritize possible refinements. APROBA-Plus may also be used to rank substances into different risk categories, based on potential health risks without being compromised by different levels of conservatism that may be associated with point estimates of risk.

摘要

为促进概率风险评估的应用,世界卫生组织发布了APROBA工具。该工具将对数正态不确定性分布应用于危害特征描述的不同方面,从而得出基于健康的概率指导值。本文描述了一种扩展工具APROBA-Plus,它将概率危害特征描述的输出结果与概率暴露相结合,以快速表征风险及其不确定性。将暴露的不确定性与目标人体剂量(即符合指定保护目标的剂量)的不确定性进行图形比较。APROBA-Plus应用于多个案例研究,得出了不同的结果,并表明APROBA-Plus可作为常规风险评估的标准扩展。通过可视化不确定性,APROBA-Plus比更常见的确定性方法提供了更透明、更具信息性的结果,以便风险管理者能够做出更明智的决策。例如,APROBA-Plus有助于决定是否需要采取降低风险的措施,或者是否首先需要进行更精细的风险评估。如果是后者,该工具可用于对可能的改进进行优先级排序。APROBA-Plus还可用于根据潜在健康风险将物质分类到不同的风险类别中,而不会受到可能与风险点估计相关的不同保守程度的影响。