Evidence map›Paper›PMID 41737025›Full record

ArticleThe Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale2026

Distribution and Drug-Resistance Analysis of Uropathogens in Urinary Tract Infections.

Weiyi Wu, Qiong Wu, Wenying Zhong, Lizhong Han

Abstract read
In one paragraph

Article in The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Distribution and Drug-Resistance Analysis of Uropathogens in Urinary Tract Infections.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2026
    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

4 authors.

Weiyi WuDepartment of Laboratory Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, shsmu.edu.cn.
Qiong WuDepartment of Laboratory Medicine, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China, sjtu.edu.cn.
Wenying ZhongDepartment of Laboratory Medicine, Shanghai Second People's Hospital, Shanghai, China.
Lizhong HanDepartment of Laboratory Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, shsmu.edu.cn.ORCID https://orcid.org/0009-0007-7531-5110

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Urinary tract infections (UTIs) are a major global health concern with increasing antimicrobial resistance. Regional data on pathogen distribution and resistance patterns are essential for guiding empirical therapy. This study aimed to investigate the distribution and antimicrobial resistance profiles of UTI pathogens in Shanghai, China, and identify risk factors associated with UTIs. Methods: A retrospective analysis was conducted on urine culture records from 61,450 patients suspected of UTIs, collected between January 1 and December 31, 2023, from two general hospitals in Shanghai. Pathogen identification and antimicrobial susceptibility testing were performed according to CLSI guidelines (2021). Multivariable logistic regression was used to analyze risk factors for UTIs. Results: Among 5671 confirmed UTI cases, Conclusions: High antimicrobial resistance rates were observed among uropathogens in Shanghai, particularly to commonly used antibiotics. These findings highlight the need for region-specific antibiotic stewardship programs and updated empirical treatment guidelines to combat rising resistance and improve clinical outcomes.

Indexed as

antimicrobial resistanceEscherichia colipathogen distributionrisk factorsurinary tract infection

Identifiers

PMID41737025
PMCPMC12927959

What Socratic 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 Socratic graph.