Evidence map›Paper›PMID 41103508›Full record

ArticleInfection and drug resistance2025

Distribution and Antibiotic Resistance Analysis of Bloodstream Infection Pathogens in Yibin, Sichuan.

Xiangtian Zhou, Rong Hu, Yuehua Xia, Xu Li, Shuangquan Nie, Tindong Li, Chao Chen, Bangdong Qi, Wenquan Li

Abstract read
In one paragraph

Article in Infection and drug resistance, 2025. 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

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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

1 citing paper in PubMed.

  1. 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

9 authors.

Xiangtian Zhou *Department of Infectious Diseases, Second People's Hospital of Yibin City, Yibin, Sichuan, People's Republic of China.
Rong Hu *Department of Infectious Diseases, Second People's Hospital of Yibin City, Yibin, Sichuan, People's Republic of China.
Yuehua XiaDepartment of Infectious Diseases, Second People's Hospital of Yibin City, Yibin, Sichuan, People's Republic of China.
Xu LiDepartment of Infectious Diseases, Second People's Hospital of Yibin City, Yibin, Sichuan, People's Republic of China.
Shuangquan NieDepartment of Infectious Diseases, Second People's Hospital of Yibin City, Yibin, Sichuan, People's Republic of China.
Tindong LiDepartment of Infectious Diseases, Second People's Hospital of Yibin City, Yibin, Sichuan, People's Republic of China.
Chao ChenDepartment of Infectious Diseases, Second People's Hospital of Yibin City, Yibin, Sichuan, People's Republic of China.
Bangdong QiDepartment of Infectious Diseases, Second People's Hospital of Yibin City, Yibin, Sichuan, People's Republic of China.
Wenquan LiDepartment of Infectious Diseases, Second People's Hospital of Yibin City, Yibin, Sichuan, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To determine the distribution and antimicrobial resistance patterns of bloodstream infection (BSI) pathogens in Yibin, China, and to provide evidence for optimizing local empirical therapy and infection-control strategies. Methods: A retrospective study was performed on 4431 non-duplicate bloodstream isolates recovered from 32569 patients at Yibin Second People's Hospital between January 2017 and December 2024. Organisms were identified and tested for antimicrobial susceptibility by Kirby-Bauer disk diffusion or VITEK-2 Compact. Antibiotic resistance to selected agents (eg polymyxins, vancomycin) were evaluated by broth micro-dilution and analysed based on CLSI M100-S34. Results: Gram-negative bacteria became the dominant isolates (51.4%), with their proportion significantly increasing during the study period. The main pathogens were Conclusion: Bloodstream infections in Yibin are increasingly dominated by Gram-negative organisms, with ESBL-producing

Indexed as

antibacterialblood flow infectiondrug resistancepathogenic bacteria

Identifiers

PMID41103508
PMCPMC12526386

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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.