Evidence map›Paper›PMID 40386426›Full record

ArticleResearch square2025

Spatial clusters of dominant lineages of uropathogenic Escherichia coli in a community dwelling patient population.

Cheyenne Belmont, Pushkar Inamdar, Salma Shariff-Marco, Amina Gul, Alison J Huang, Henry F Chambers, Eva Raphael

Abstract readPreprint
In one paragraph

Article in Research square, 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
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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

7 authors.

Cheyenne BelmontUniversity of California, San Francisco.
Pushkar InamdarUniversity of California, San Francisco.
Salma Shariff-MarcoUniversity of California, San Francisco.
Amina GulKhyber Medical College.
Alison J HuangUniversity of California, San Francisco.
Henry F ChambersUniversity of California, San Francisco.
Eva RaphaelUniversity of California, San Francisco.

Funding

Clinical and Translational Science InstituteUL1TR001872 · NCATS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI COLLARD, HAROLD R, JACOBY, VANESSA · 2016 to 2025
$112.1M
UCSF-Kaiser Urological Epidemiology Research Career Development ProgramK12DK111028 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HUANG, ALISON · 2016 to 2025
$5.3M
Patient-Oriented Research and Mentoring in Genitourinary AgingK24AG068601 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Alison Huang · 2020 to 2026
$1.2M
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
NCATS NIH HHS UL1 TR001872NIAID NIH HHS K23 AI166030NIA NIH HHS K24 AG068601NIDDK NIH HHS K12 DK111028
6 · The paper itself

Abstract

Introduction: Antimicrobial resistance (AMR) is a major public health concern, especially in the clinical management of urinary tract infections (UTIs). While use of antimicrobial agents selects for AMR bacterial strains, it remains unclear if this factor alone drives the prevalence of UTIs caused by AMR uropathogenic Methods: We collected 551 UPEC isolates from patients receiving care in a San Francisco public healthcare system from April to September 2019. Isolates underwent multiplex PCR for rapid identification of pandemic UPEC STs (ST69, ST73, ST95, ST131) and were linked with electronic health records data. We conducted Global Moran's I and Local Moran's I to detect spatial clusters of each pandemic ST lineage. Results: Forty five percent of UPEC isolates (N = 247) were identified as pandemic ST lineages. ST131 comprised 72 (29%) of the pandemic ST lineages and contributed the most multidrug resistant isolates (resistant to ≥ 3 classes of antibiotics) (N = 29). Spatial clusters of ST95, ST131 and ST69 (p < 0.001, p < 0.001, p = 0.008, respectively) were identified. Conclusion: We found spatial clusters of community-onset bacteriuria caused by predominant ST lineages, suggesting common-source outbreaks. This novel approach may inform future surveillance efforts to reduce community transmission of AMR UPEC and provides the basis for future investigations of environmental risk factors for AMR UTI.

Identifiers

PMID40386426
PMCPMC12083685

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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.