Evidence map›Paper›PMID 40236432›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Wastewater surveillance reveals patterns of antibiotic resistance across the United States.

Sooyeol Kim, Alessandro Zulli, Elana M G Chan, Dorothea Duong, Rebecca Y Linfield, Caroline McCormack, Bradley J White, Marlene K Wolfe, Alexandria B Boehm, Amy J Pickering

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. 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

5 · Who and what money

Authors and funding

10 authors.

Sooyeol KimDepartment of Civil and Environmental Engineering, University of California, Berkeley, CA, 94720, USA.
Alessandro ZulliDepartment of Civil and Environmental Engineering, Stanford University, Stanford, CA, 94305, USA.
Elana M G ChanDepartment of Civil and Environmental Engineering, Stanford University, Stanford, CA, 94305, USA.ORCID 0000-0002-7238-6833
Dorothea DuongVerily Life Sciences, South San Francisco, CA, 94080, USA.
Rebecca Y LinfieldDivision of Infectious Diseases and Geographic Medicine, Department of Medicine, Stanford University, Stanford, CA, 94305, USA.
Caroline McCormackDepartment of Civil and Environmental Engineering, University of California, Berkeley, CA, 94720, USA.
Bradley J WhiteVerily Life Sciences, South San Francisco, CA, 94080, USA.
Marlene K WolfeGangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, 30329, USA.
Alexandria B BoehmDepartment of Civil and Environmental Engineering, Stanford University, Stanford, CA, 94305, USA.ORCID 0000-0002-8162-5090
Amy J PickeringDepartment of Civil and Environmental Engineering, University of California, Berkeley, CA, 94720, USA.ORCID 0000-0001-6193-2221

Funding

EMERGING INFECTIOUS DISEASEST32AI007502 · NIAID · STANFORD UNIVERSITY · PI Prasanna Jagannathan, DAVID A. RELMAN · 1995 to 2026
$6.8M
NIAID NIH HHS T32 AI007502
6 · The paper itself

Abstract

Antibiotic resistance is a growing public health threat, with over 2.8 million antibiotic-resistant infections and 35,000 attributable deaths annually in the U.S. This is an underestimate, as it is based on people who seek medical attention. Here, we sought to use wastewater monitoring to assess community-level antibiotic resistance. This study quantifies concentrations of antibiotic resistance genes (ARGs) by digital droplet PCR in wastewater solids obtained from 163 wastewater treatment plants across the United States. We measure 11 ARGs that confer resistance to beta-lactams (

Identifiers

PMID40236432
PMCPMC11998803

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.