In the last few decades, a plethora of studies have focused on human biomonitoring (HBM) of chemical pollutants. Reviewing the copious HBM data reported in these studies is essential for evaluating the effectiveness of pollution management efforts, for example by evaluating time-trends. Nevertheless, guidance to systematically evaluate time trends in published HBM data has never been developed. In this study, we therefore present a proposal for guidelines to conduct “time-trend reviews” (TTRs) that examine time trends in published large HBM datasets of chemical pollutant concentrations. We also demonstrate the applicability of these guidelines through a case study that assesses time-trends in global and regional HBM data on mercury. The recommended TTR guidelines in this study are divided into seven steps: formulating the objective of the TTR, setting up of eligibility criteria, defining search strategy and screening of literature, screening results of search, extracting data, analysing data, and assessing certainty, including the potential for bias in the evidence base. The TTR guidelines proposed in this study are straightforward and less complex than those for conducting systematic reviews assessing datasets on potential human health effects of exposure to pollutants or medical interventions. These proposed guidelines are intended to enable the credible, transparent, and reproducible conduct of TTRs.

在过去的几十年中，大量研究集中在化学污染物的人体生物监测（HBM）上。回顾这些研究中报告的大量HBM数据对于评估污染管理工作的有效性至关重要，例如通过评估时间趋势。然而，从未开发出系统地评估已发布的HBM数据中的时间趋势的指南。因此，在这项研究中，我们提出了进行“时间趋势审查”（TTR）的指南提案，该审查旨在检查已发布的大型HBM化学污染物浓度数据集中的时间趋势。我们还通过一个案例研究证明了这些准则的适用性，该案例研究评估了全球和区域HBM汞数据中的时间趋势。本研究中建议的TTR指南分为七个步骤：制定TTR的目标，制定资格标准，定义搜索策略和文献筛选，筛选搜索结果，提取数据，分析数据以及评估确定性，包括证据基础中可能存在的偏见。这项研究提出的TTR指南简单易行，不如进行系统评估来评估暴露于污染物或医疗干预对人类健康的潜在影响的数据集的指导原则。这些拟议的指南旨在使TTR可信，透明和可复制。这项研究提出的TTR指南简单易行，不如进行系统评估来评估暴露于污染物或医疗干预对人类健康的潜在影响的数据集的指导原则。这些拟议的指南旨在使TTR可信，透明和可复制。本研究中提出的TTR指南简单易行，不如进行系统评估来评估有关暴露于污染物或医疗干预对人类健康的潜在影响的数据集的指导原则。这些拟议的指南旨在使TTR可信，透明和可复制。