摘要
背景：抗生素耐药性细菌（ARB）通常以不同的方式进入水源，例如通过市政和医院废水。因为用于处理水的传统技术不利于去除这些
污染物（尤其是抗生素抗性基因；ARGs），这些污染物很容易进入饮用水分配
网络，并对消费者的健康构成严重威胁。本研究的主要目的是系统地调查
氯消毒对饮用水供应系统中ARGs的影响。这项研究可能在
阐明氯消毒对ARGs的影响。
方法：概述本方案的系统审查将根据
环境证据（CEE）指南。主要问题是，“氯消毒对ARGs的影响是什么
饮用水供应系统？”为此，将考虑氯对ARGs的影响
进行了调查。搜索包括电子资源、灰色文献和相关网站。电子资源
包括Scopus、PubMed、Embase、Web of Science Core Collection和Science Direct。在fnal搜索之后
获得的文章将被收集在参考管理软件（尾注X8）中。删除重复项后
文章，第一阶段的文章筛选将根据文章的标题和摘要进行。在第二个
阶段，从frst筛选阶段获得的文章将根据文章全文进行筛选
关于资格标准。然后，专家小组的两名成员提取数据。为了评估文章的有效性，
偏差来源将由一个专家小组确定。偏差将根据Bilotta设计的标准进行定义
最后，将对提取的数据进行叙述性综合；如果有适当的数据，也将进行定量分析。
Abstract
Background: Antibiotic-resistant bacteria (ARB) usually enter water sources in diferent ways, such as via municipal and hospital wastewaters. Because conventional technologies used to treat water inefcient in removing these
contaminants (especially antibiotic-resistant genes; ARGs), these contaminants easily enter drinking water distribution
networks and pose serious threats to consumers’ health. This study’s main purpose is to systematically investigate the
efect of chlorine disinfection on ARGs in drinking water supply systems. This study could play an important role in
elucidating the efect of chlorine disinfection on ARGs.
Methods: The systematic review outlining this protocol will be performed according to the Collaboration for
Environmental Evidence (CEE) guidelines. The main question is, “what is the efect of chlorine disinfection on ARGs in
drinking water supply systems?” For this purpose, the articles will be considered, in which chlorine’s efect on ARGs
is investigated. The search includes electronic resources, grey literature, and related websites. Electronic resources
include Scopus, PubMed, Embase, Web of Science Core Collection, and Science Direct. After the fnal search, the
obtained articles will be collected in the reference management software (Endnote X8). Upon removing the duplicate
articles, the frst stage of article screening will be performed based on the title and abstract the articles. In the second
stage, the articles obtained from the frst screening stage will be screened based on the full text of the articles based
on the eligibility criteria. Then, two members of the expert team extract the data. To assess the validity of the articles,
bias sources will be determined by an expert team. Biases will be defned according to the criteria designed by Bilotta
et al. Finally, a narrative synthesis will be performed for the extracted data; if appropriate data are available, quantitative analysis will also be performed.

https://environmentalevidencejournal.biomedcentral.com/counter/pdf/10.1186/s13750-022-00266-y.pdf