Evidence map›Paper›PMID 41081523›Full record

ArticlemBio2025

Could wastewater-based surveillance be key to combating antimicrobial resistance?

José L Balcázar

Abstract read
In one paragraph

Article in mBio, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

1 author.

José L BalcázarCatalan Institute for Water Research (ICRA-CERCA), Girona, Spain.ORCID 0000-0002-6866-9347

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antimicrobial resistance (AMR) is one of the most urgent health threats of the 21st century. Surveillance is needed to enable timely interventions, close knowledge gaps, and anticipate long-term trends. Current frameworks rely heavily on clinical data, which often fail to capture population-level dynamics. Wastewater-based surveillance (WBS) offers a complementary approach by detecting antibiotic resistance genes (ARGs) in sewage. In AMR surveillance, early warning includes the detection of novel or clinically relevant ARGs, including those carried by mobile genetic elements (MGEs) before they affect clinical outcomes. WBS can also reveal resistome composition, dissemination routes, and ecological drivers of AMR. This is especially relevant in settings with poor sanitation, high exposure, and limited clinical reporting. Unlocking its potential will require harmonized protocols, sustained investment, and strong ethical measures. Within a One Health framework, WBS can strengthen equitable and evidence-based strategies against AMR.

Indexed as

Anti-Bacterial AgentsBacteriaDrug Resistance, BacterialWastewaterHumansSewageAnti-Bacterial AgentsSewageWastewaterantimicrobial resistancecommunity levelwastewater-based surveillance

Identifiers

PMID41081523
PMCPMC12607910

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.