Evidence map›Paper›PMID 41018713›Full record

ArticleOpen forum infectious diseases2025

Trends in Uropathogenic

Sean Joyce, Cheyenne Belmont, Aaron Wolfe Scheffler, Kavitha Ravi, Hanna Kim, Noah Rubin-Saika, Matthew Elises, Abraham Soto, Padukudru Anand Mahesh, Henry Chambers and 1 more

Abstract read
In one paragraph

Article in Open forum infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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.

Sean JoyceSchool of Medicine, University of California San Francisco, San Francisco, California, USA.ORCID https://orcid.org/0000-0002-1820-4381
Cheyenne BelmontDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, USA.
Aaron Wolfe SchefflerDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, USA.
Kavitha RaviCenter of Excellence in Molecular Biology and Regenerative Medicine Laboratory, Department of Biochemistry, JSS Medical College, JSS Academy of Higher Education and Research, Mysuru, India.ORCID https://orcid.org/0000-0001-7310-4714
Hanna KimSchool of Public Health, Yale University, New Haven, Connecticut, USA.ORCID https://orcid.org/0009-0007-2517-1999
Noah Rubin-SaikaChicago Medical School at Rosalind Franklin University, North Chicago, Illinois, USA.
Matthew ElisesUniversity of California, Berkeley, Berkeley, California, USA.ORCID https://orcid.org/0009-0001-8072-6359
Abraham SotoDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, USA.ORCID https://orcid.org/0009-0009-9267-2317
Padukudru Anand MaheshDepartment of Respiratory Medicine, JSS Medical College, JSS Academy of Higher Education and Research, Mysuru, India.ORCID https://orcid.org/0000-0003-1632-5945
Henry ChambersDepartment of Medicine, University of California San Francisco, San Francisco, California, USA.
Eva RaphaelDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, USA.

Funding

Community-onset urinary tract infections caused by extended-spectrum beta-lactamase-producing Escherichia coli in women of diverse backgroundsK23AI166030 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Eva Raphael · 2022 to 2026
$1.1M
NIAID NIH HHS K23 AI166030
6 · The paper itself

Abstract

Background: Uropathogenic Methods: Over separate periods in 2019 and 2022, we collected and analyzed community-onset UPEC samples from patients with bacteriuria who received care in a public health care network (N = 997). Multiplex polymerase chain reaction was used to identify the presence of UPEC pandemic STs, including ST131, while patient characteristics and antibiotic susceptibilities of the UPEC samples were collected from electronic medical records. Differences in pandemic ST prevalence and AMR between years were assessed through χ Results: Pandemic ST prevalence remained stable between collection years, while resistance to any antimicrobial and trimethoprim-sulfamethoxazole generally decreased. However, within pandemic ST131, fluoroquinolone resistance increased significantly (45.6% to 76.8%, Conclusions: Steady ST prevalence and stable or decreased AMR prevalence masked significant increased fluoroquinolone resistance with ST131, which may represent unmeasured patient characteristics, bacterial factors, or new exposure to resistant ST131 in the community. Antimicrobial surveillance of UPEC at the ST level may be important for monitoring otherwise unnoticed AMR trends.

Indexed as

antimicrobial resistanceST131urinary tract infectionsuropathogenic Escherichia coliUTI epidemiology

Identifiers

PMID41018713
PMCPMC12464484

What OpenQuestion holds

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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.