Segal Deborah, Nachman Rebecca, Nweke Onyemaechi, Radke Elizabeth, Brunson Geanine, Khoshhal Bita, Nicole Helguero G, Kopylev Leonid
US EPA, 1200 Pennsylvania Ave, NW, Washington, DC 20460 USA.
US EPA, 1200 Pennsylvania Ave, NW, Washington, DC 20460 USA.
Environ Int. 2025 Mar;197:109331. doi: 10.1016/j.envint.2025.109331. Epub 2025 Feb 15.
Identifying susceptibility factors for adverse health effects from chemical exposures is an important aspect of characterizing human health impacts. However, to date, an efficient approach for identifying these factors has not been established. To address this limitation, two approaches were utilized to find studies that contained susceptibility information using methylmercury (MeHg) developmental neurotoxicity (DNT) as a case study. Both approaches start with a comprehensive literature search of 5 databases on MeHg followed by keyword filtering for potential epidemiology studies; however, the approaches diverged for the subsequent steps. Approach 1 initially included screening of all 7,531 studies captured by the human filter, but was modified when it was determined that 96% of studies found to include susceptibility information were captured by a dose-response filter. Approach 2 developed a susceptibility filter to limit the screening needed. Approach 1 resulted in the identification of 172 studies with information on MeHg DNT susceptibility. Approach 2 reduced screening by 52%, but only captured 74% of PECO-relevant studies when applied to the final study set. Although Approach 2 reduced screening by 12% compared with the use of the dose-response filter in Approach 1, the decreased detection of relevant studies precludes its use in most cases. Expected technological advances that allow refinement of a susceptibility filter to improve performance would be advantageous because of the potential further reduction in screening burden. However, at this time, Approach 1, involving the application of a dose-response filter, is currently recommended for identifying epidemiology papers with information on susceptibility factors.
识别化学物质暴露对健康产生不良影响的易感因素是描述人类健康影响的一个重要方面。然而,迄今为止,尚未建立一种有效的方法来识别这些因素。为解决这一局限性,我们采用了两种方法,以甲基汞(MeHg)发育神经毒性(DNT)为例来查找包含易感信息的研究。两种方法均始于对5个关于甲基汞的数据库进行全面文献检索,随后通过关键词筛选潜在的流行病学研究;然而,后续步骤中两种方法出现了分歧。方法1最初包括筛选人工筛选出的所有7531项研究,但在确定96% 被发现包含易感信息的研究可通过剂量反应筛选器捕获后进行了修改。方法2开发了一个易感筛选器以限制所需的筛选工作。方法1识别出了172项具有甲基汞DNT易感性信息的研究。方法2的筛选量减少了52%,但应用于最终研究集时仅捕获了74% 与PECO相关的研究。尽管与方法1中使用剂量反应筛选器相比,方法2的筛选量减少了12%,但相关研究检测量的减少使其在大多数情况下无法使用。有望实现的技术进步可使易感筛选器得到优化以提高性能,这将是有利的,因为可能进一步减轻筛选负担。然而,目前推荐使用方法1,即应用剂量反应筛选器来识别具有易感因素信息的流行病学论文。