Evidence map›Paper›PMID 42378417›Full record

ReviewJournal of water and health2026

Detection and removal methods of antibiotic-resistance genes in drinking water sources: a review.

Meng Du, Yan Yan, Xin Kang, Yuchen Zhang

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of water and health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Meng DuBeijing Waterworks Group Aqualntelligence Technology Development Co., Ltd, Beijing 100000, China E-mail: meng820701@163.com.ORCID https://orcid.org/0009-0008-5237-8191
Yan YanBeijing Waterworks Group Aqualntelligence Technology Development Co., Ltd, Beijing 100000, China.ORCID https://orcid.org/0009-0009-4585-9832
Xin KangBeijing Waterworks Group Co., Ltd, Beijing 100000, China.ORCID https://orcid.org/0009-0004-1781-8308
Yuchen ZhangBeijing Waterworks Group Aqualntelligence Technology Development Co., Ltd, Beijing 100000, China.ORCID https://orcid.org/0009-0004-9423-8331

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The natural evolutionary process of bacterial resistance has been catastrophically amplified into a planetary health crisis through anthropogenic antibiotic pollution. Antibiotic accumulation in the environment has become a key driver of antimicrobial resistance (AMR) proliferation. This is particularly critical in wastewater and drinking water systems (DWSs). The presence of antibiotics selects for resistant strains and facilitates horizontal gene transfer of antibiotic resistance genes (ARGs). This phenomenon arises from excessive antibiotic usage coupled with inefficient removal through conventional water treatments, which fail to eliminate residual antibiotics or impede ARG dissemination. This review systematically summarizes current knowledge on bacterial resistance mechanisms in DWSs and recent advancements in detection methodologies of ARGs. Furthermore, we discussed the efficiency of conventional water treatment processes against antimicrobial containment and the emerging solutions to help curb the menace of AMR effectively. Overall, this study aims to establish a theoretical foundation for accurately assessing health risks posed by ARGs in DWSs and implementing effective prevention and control measures. This review can serve as a foundational resource for guiding policy recommendations to protect drinking water sources and public health.

Indexed as

Anti-Bacterial AgentsBacteriaDrinking WaterDrug Resistance, BacterialDrug Resistance, MicrobialGenes, BacterialWater PurificationWater MicrobiologyAnti-Bacterial AgentsDrinking Wateradvanced oxidation processesARGsbiological treatmentdrinking water environmentelimination methodsrisk assessment

Identifiers

PMID42378417

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.