Evidence map›Paper›PMID 42514086›Full record

ReviewMicroorganisms2026

Wastewater Metagenomics for Antimicrobial Resistance and Pathogen Surveillance: A Bibliometric Analysis.

Yiran Zheng, Ningxuan Ma, Bingxuan Zhao, Yuhe Li, Yuxin Tian, Jinpu Liu, Yue Quan

Abstract readReview
In one paragraph

Review in Microorganisms, 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

7 authors.

Yiran ZhengDepartment of Agricultural Resources and Environment, Yanbian University, Yanji 133002, China.
Ningxuan MaDepartment of Geography and Ocean Sciences, Yanbian University, Hunchun 133300, China.
Bingxuan ZhaoDepartment of Biological, Geological, and Environmental Sciences, University of Bologna, Via Sant'Alberto 163, 48123 Ravenna, Italy.
Yuhe LiDepartment of Geography and Ocean Sciences, Yanbian University, Hunchun 133300, China.
Yuxin TianDepartment of Agricultural Resources and Environment, Yanbian University, Yanji 133002, China.
Jinpu LiuDepartment of Agricultural Resources and Environment, Yanbian University, Yanji 133002, China.
Yue QuanDepartment of Agricultural Resources and Environment, Yanbian University, Yanji 133002, China.ORCID 0009-0006-2291-8594

Funding

Jilin Province Science and Technology Department YDZJ202601ZYTS183
6 · The paper itself

Abstract

Wastewater systems are critical reservoirs where antibiotic resistance genes, antibiotic-resistant bacteria, and pathogens converge and disseminate into receiving waters, posing risks to ecosystems and public health. Metagenomics enables culture-independent surveillance of resistome and pathogens in wastewater. After the COVID-19 pandemic, the rapid expansion of wastewater-based epidemiological surveillance, together with growing emphasis on the One Health framework, has further promoted the integration of wastewater metagenomic monitoring with public-health surveillance strategies. However, no bibliometric study has systematically mapped the global research landscape at the intersection of metagenomics, wastewater systems, antimicrobial resistance, and pathogen surveillance. This study retrieved 1161 publications from the Web of Science Core Collection and used CiteSpace to conduct bibliometric analyses. From 2010 to 2025, annual publications increased from 1 to 219, with 72.7% of the total output concentrated between 2021 and 2025. China led in publication output but showed low betweenness centrality, whereas Australia and Sweden served as key intermediaries. Keyword analysis revealed a gradual thematic evolution from the basic detection of antibiotic resistance genes in activated sludge, through studies of dissemination mechanisms, to recent work on One Health and wastewater surveillance. Literature co-citation analysis showed that integration between environmental monitoring and public health literature remains limited, suggesting that the translation of metagenomic surveillance data into health risk assessment frameworks is still at an early stage. By mapping the field's knowledge structure and gaps, this review highlights priorities for advancing wastewater-based Antimicrobial Resistance surveillance, including standardizing analytical methods, developing artificial intelligence-assisted resistome analysis, promoting equitable participation from underrepresented regions, and operationalizing One Health surveillance, thereby supporting the translation of wastewater monitoring into actionable public-health solutions.

Indexed as

antimicrobial resistancebibliometric analysisCiteSpacemetagenomicsone healthwastewater surveillance

Identifiers

PMID42514086
PMCPMC13413772

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.