Evidence map›Paper›PMID 35737903›Full record

ArticleEnvironmental science & technology2022

Geospatial Patterns of Antimicrobial Resistance Genes in the US EPA National Rivers and Streams Assessment Survey.

Scott P Keely, Nichole E Brinkman, Emily A Wheaton, Michael A Jahne, Shawn D Siefring, Manju Varma, Ryan A Hill, Scott G Leibowitz, Roy W Martin, Jay L Garland and 1 more

Abstract read
In one paragraph

Article in Environmental science & technology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. bioRxiv : the preprint server for biology · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Review
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  7. Review
  8. Article
  9. Article
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  11. Antimicrobial Resistance Patterns in an Urban County: a Spatiotemporal Exploration.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2024
    Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
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

11 authors.

Nichole E Brinkman
Emily A Wheaton
Shawn D Siefring
Manju Varma
Ryan A HillCenter for Public Health and Environmental Assessment, US Environmental Protection Agency, Corvallis, Oregon 97333, United States.
Scott G LeibowitzCenter for Public Health and Environmental Assessment, US Environmental Protection Agency, Corvallis, Oregon 97333, United States.
Jay L Garland
Richard A Haugland

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antimicrobial resistance (AR) is a serious global problem due to the overuse of antimicrobials in human, animal, and agriculture sectors. There is intense research to control the dissemination of AR, but little is known regarding the environmental drivers influencing its spread. Although AR genes (ARGs) are detected in many different environments, the risk associated with the spread of these genes to microbial pathogens is unknown. Recreational microbial exposure risks are likely to be greater in water bodies receiving discharge from human and animal waste in comparison to less disturbed aquatic environments. Given this scenario, research practitioners are encouraged to consider an ecological context to assess the effect of environmental ARGs on public health. Here, we use a stratified, probabilistic survey of nearly 2000 sites to determine national patterns of the anthropogenic indicator class I integron Integrase gene (

Indexed as

Anti-Bacterial AgentsRiversAnimalsDrug Resistance, BacterialGenes, BacterialHumansIntegronsUnited StatesAnti-Bacterial Agentsanthropogenic pollutionantimicrobial resistanceriversstreams

Identifiers

PMID35737903
PMCPMC9632466

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.