Independent Consultant, Washington, DC, USA.
U.S. Environmental Protection Agency, Office of Research and Development, Center for Public Health and Environmental Assessment, Research Triangle Park, NC, USA.
Environ Int. 2022 Nov;169:107475. doi: 10.1016/j.envint.2022.107475. Epub 2022 Aug 30.
The causal association between childhood lead (Pb) exposure and decrements in intelligence quotient (IQ) is well-established, and no safe blood lead level (BLL) in children has been identified. An international pooled analysis of seven prospective studies published by Lanphear et al. in 2005 quantified the relationship between childhood BLL and IQ. Further studies of Pb and IQ have been published more recently with mean BLLs generally lower than in the studies analyzed by Lanphear et al. In this article, we present the protocol for a systematic review to estimate an updated Pb-IQ relationship focusing on BLLs below 5 µg per deciliter (µg/dL).
What is the quantitative relationship between childhood BLLs and IQ at ages 3-17 years at BLLs below 5 μg/dL?
A comprehensive search of the scientific literature will utilize citation mapping and key word searching. In the citation mapping approach, we will identify seed references that are relevant to our study question, and will then identify more recent references that have cited at least one of the seed references. The key word search will be conducted in the PubMed, Biosis Previews, Scopus, and Web of Science databases. We will also search electronic grey literature databases for conference proceedings, dissertations, and preprints.
STUDY ELIGIBILITY CRITERIA, STUDY SCREENING AND DATA EXTRACTION: We will include studies that measured BLL in children at any age, assessed full-scale IQ of the same children (concurrent with or subsequent to BLL sample collection) at ages 3-17, and estimated a continuous quantitative relationship between BLL and IQ. We will consider only studies with a central tendency BLL < 10 µg/dL. The title and abstract of each record will be reviewed independently by two authors to determine whether the study in question satisfies the inclusion criteria. The full text of each article remaining after title-abstract screening will be reviewed independently by two authors to determine whether the study in question satisfies the inclusion criteria. Two authors will independently extract study characteristics and data from each included study.
Studies meeting inclusion criteria will be evaluated for risk of bias (RoB) using the Navigation Guide method applied in a previous systematic review of neurodevelopmental effects (Lam et al., 2017), with adaptation to our study question. Each study will be independently evaluated by two review authors.
We intend to conduct a random-effects meta-analysis to summarize the effects of children's exposure to Pb on IQ scores. Additionally, we plan to perform sensitivity analyses using sub-group analyses and/or meta-regression techniques to assess the impact of study design and study population characteristics to examine potential heterogeneity of results across studies. We will assign a confidence level rating (high, moderate, low, or very low) to the effect estimate from the meta-analyses/meta-regressions.
儿童铅(Pb)暴露与智商(IQ)下降之间的因果关系已得到充分证实,目前仍未确定儿童血液中安全的铅含量(BLL)水平。2005 年,Lanphear 等人发表的七项前瞻性研究的国际荟萃分析量化了儿童 BLL 与 IQ 之间的关系。最近发表了更多关于 Pb 和 IQ 的研究,其平均 BLL 普遍低于 Lanphear 等人分析的研究。在本文中,我们提出了一项系统评价的方案,以评估重点关注 BLL 低于 5μg/dL 时,更新的 Pb-IQ 关系。
在 BLL 低于 5μg/dL 时,儿童 BLL 与 3-17 岁时的 IQ 之间存在何种定量关系?
我们将通过全面的文献检索,利用引文映射和关键词搜索来获取科学文献。在引文映射方法中,我们将确定与我们的研究问题相关的种子参考文献,然后确定引用了至少一个种子参考文献的最近参考文献。关键词搜索将在 PubMed、Biosis Previews、Scopus 和 Web of Science 数据库中进行。我们还将在电子灰色文献数据库中搜索会议记录、论文和预印本。
研究入选标准、研究筛选和数据提取:我们将纳入在任何年龄测量儿童 BLL、评估相同儿童全量表智商(与 BLL 样本采集同时或之后)的研究,以及估计 BLL 与 IQ 之间连续定量关系的研究。我们只考虑 BLL 中心趋势<10μg/dL 的研究。每篇记录的标题和摘要将由两位作者独立审查,以确定所研究的问题是否符合纳入标准。在标题-摘要筛选后保留的每篇文章的全文将由两位作者独立审查,以确定所研究的问题是否符合纳入标准。两位作者将独立提取每个纳入研究的研究特征和数据。
符合纳入标准的研究将使用以前对神经发育影响(Lam 等人,2017 年)进行的系统评价中应用的导航指南方法进行偏倚风险(RoB)评估,并根据我们的研究问题进行调整。每项研究将由两位综述作者独立评估。
我们打算进行随机效应荟萃分析,以总结儿童接触 Pb 对智商分数的影响。此外,我们计划进行敏感性分析,使用亚组分析和/或荟萃回归技术,以评估研究设计和研究人群特征对结果异质性的影响,以检查研究之间结果的潜在异质性。我们将为荟萃分析/荟萃回归的效应估计分配置信水平评级(高、中、低或极低)。