Evidence map›Paper›PMID 41625132›Full record

ArticleAntimicrobial stewardship & healthcare epidemiology : ASHE2026

Spatial pattern and risk factors of resistance to important antibiotics among

Zhuo Tang, Qianyi Shi, Shinya Hasegawa, Margaret Carrel, Jacob Oleson, Michihiko Goto

Abstract read
In one paragraph

Article in Antimicrobial stewardship & healthcare epidemiology : ASHE, 2026. 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

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

6 authors.

Zhuo TangDepartment of Geosciences, Texas Tech University, Lubbock, TX, USA.ORCID https://orcid.org/0000-0002-9677-6107
Qianyi ShiDepartment of Internal Medicine, University of Iowa, Iowa City, IA, USA.ORCID https://orcid.org/0000-0003-1149-1231
Shinya HasegawaDepartment of Internal Medicine, University of Iowa, Iowa City, IA, USA.ORCID https://orcid.org/0000-0001-7167-270X
Margaret CarrelSchool of Earth, Environment and Sustainability, University of Iowa, Iowa City, IA, USA.ORCID https://orcid.org/0000-0003-0430-9235
Jacob OlesonDepartment of Biostatistics, University of Iowa, Iowa City, IA, USA.ORCID https://orcid.org/0000-0001-6343-3274
Michihiko GotoDepartment of Internal Medicine, University of Iowa, Iowa City, IA, USA.ORCID https://orcid.org/0000-0001-6612-5613

Funding

AHRQ HHS K08 HS027472NCEZID CDC HHS U54 CK000613
6 · The paper itself

Abstract

Background: Effective antibiotic stewardship programing in clinical settings necessitates a good understanding of local prevalences of antimicrobial resistance and important patient and community risk factors. However, most studies are limited in sample size and geographic coverage. Methods: This study utilized phenotypic resistance data of Results: High overall rates of resistance were seen for fluoroquinolone (29%) and TMP-SMX (22%). Geographic variation was seen among and between antibiotic classes. Certain urban regions in the southern parts of Illinois, Indiana, and Ohio had higher local resistance rates for fluoroquinolone and TMP-SMX. Being male, having diabetes, and previous exposure to antibiotics are significant risk factors for all classes of antibiotics while the significance of other risk factors varied across classes. Conclusion: Diverse geographic patterns of resistance level may reflect differences in local prescribing practices, while the differential correlations with risk factors likely reflect their clinical indications and prescribing patterns in clinical settings. The local resistance rates and risk factors for different classes of antibiotics should provide important guidance in practicing empirical prescribing and antibiotic stewardship in clinical settings.

Identifiers

PMID41625132
PMCPMC12854879

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Registered trials

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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.