Evidence map›Paper›PMID 40547325›Full record

ArticleThe Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale2025

Bacteriological Spectrum and Drug Resistance Among Patients Associated With Bloodstream Infection in Intensive Care Units in the Affiliated Hospital of Jiaxing University From 2021 to 2023.

Yucheng Xie, Xiaochun Tan, Wei Wang, Bailong Hou, Minjie Mao, Xiaoqin Niu, Qinlong Yu, Weifeng Shen

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, 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
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

8 authors.

Yucheng XieDepartment of Clinical Laboratory, The First Hospital of Jiaxing, The Affiliated Hospital of Jiaxing University, Jiaxing, Zhejiang, China.
Xiaochun TanDepartment of Clinical Laboratory, The First Hospital of Jiaxing, The Affiliated Hospital of Jiaxing University, Jiaxing, Zhejiang, China.
Wei WangDepartment of Clinical Laboratory, The First Hospital of Jiaxing, The Affiliated Hospital of Jiaxing University, Jiaxing, Zhejiang, China.
Bailong HouDepartment of Clinical Laboratory, The First Hospital of Jiaxing, The Affiliated Hospital of Jiaxing University, Jiaxing, Zhejiang, China.
Minjie MaoDepartment of Clinical Laboratory, The First Hospital of Jiaxing, The Affiliated Hospital of Jiaxing University, Jiaxing, Zhejiang, China.
Xiaoqin NiuDepartment of Clinical Laboratory, The First Hospital of Jiaxing, The Affiliated Hospital of Jiaxing University, Jiaxing, Zhejiang, China.
Qinlong YuDepartment of Clinical Laboratory, The First Hospital of Jiaxing, The Affiliated Hospital of Jiaxing University, Jiaxing, Zhejiang, China.
Weifeng ShenDepartment of Clinical Laboratory, The First Hospital of Jiaxing, The Affiliated Hospital of Jiaxing University, Jiaxing, Zhejiang, China.ORCID https://orcid.org/0009-0002-6486-9883

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bloodstream infections (BSI) in ICU settings are associated with high morbidity, mortality, and healthcare costs. The ICU environment, with its high use of invasive devices and immunocompromised patients, fosters an increased risk for multidrug resistance (MDR) pathogens, complicating treatment strategies. Understanding the epidemiology and resistance patterns in these settings is essential for improving patient outcomes and guiding appropriate antimicrobial stewardship practices. This study retrospectively analyzed data from 640 blood culture samples collected in the ICU of the Affiliated Hospital of Jiaxing University between January 2021 and December 2023. The blood samples were appropriately collected and cultured. Matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectrometry was employed to identify the isolated strains. Antimicrobial sensitivity was assessed using the VITEK2 system, the Epsilometer test (E-test), and the Kirby-Bauer disk diffusion method. All statistical analyses were conducted using IBM SPSS Statistics 22.0. A total of 391 bacterial pathogens (61.1%) were isolated. The predominant pathogens causing BSI were Gram-negative bacteria. The most prevalent pathogens during the period were coagulase-negative

Indexed as

antimicrobial resistancebloodstream infectionintensive care unitmultidrug-resistant organismsrisk factors

Identifiers

PMID40547325
PMCPMC12178772

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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.