Evidence map›Paper›PMID 40791622›Full record

ArticleFrontiers in public health2025

Influence of COVID-19 pandemic on the distribution and drug resistance of pathogens in patients with bloodstream infection.

Yuanyuan Liu, Hui Song, Yanli Wu, Lihua Liu, Ning Li, Min Zhang, Yusen Li, Xiujuan Meng

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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.

Yuanyuan LiuClinical Laboratory, Affiliated Hospital of Jining Medical University, Jining, China.
Hui SongClinical Laboratory, Affiliated Hospital of Jining Medical University, Jining, China.
Yanli WuClinical Laboratory, Affiliated Hospital of Jining Medical University, Jining, China.
Lihua LiuClinical Laboratory, Affiliated Hospital of Jining Medical University, Jining, China.
Ning LiHealthcare-Associated Infection Control Department, Affiliated Hospital of Jining Medical University, Jining, China.
Min ZhangHealthcare-Associated Infection Control Department, Affiliated Hospital of Jining Medical University, Jining, China.
Yusen LiHealthcare-Associated Infection Control Department, Affiliated Hospital of Jining Medical University, Jining, China.
Xiujuan MengHealthcare-Associated Infection Control Department, Affiliated Hospital of Jining Medical University, Jining, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The pandemic of Coronavirus Disease 2019 (COVID-19) significantly impacted healthcare systems worldwide, especially improving awareness of infection prevention and control in medical institutions. However, it remains unclear to what extent COVID-19 influenced the occurrence of bloodstream infection (BSI). This study aimed to analyze the distribution and antibiotic resistance patterns of pathogens responsible for BSI before and after the COVID-19 pandemic in a tertiary hospital. Methods: Pathogens from patients with BSI were collected from January 2018 to December 2022. Pathogen identification was performed using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS). Antimicrobial susceptibility testing was conducted using broth microdilution, the Kirby-Bauer (K-B) disk diffusion method, and Etest. Data were analyzed using WHONET and SPSS software. This study was approved by the Medical Ethics Research Committee of the hospital (2023-11-C026). Results: Following the COVID-19 pandemic, the blood culture submission rate decreased from 12.82 to 11.07%, while the standardized blood culture positivity rate increased from 0.53 to 0.62%. Among the identified pathogens, Gram-negative bacteria accounted for 67.90%, Gram-positive bacteria for 28.82%, and fungi for 3.28%. The most frequently isolated pathogens were Conclusion: The COVID-19 pandemic impacted the distribution and antibiotic resistance of pathogens in patients with BSI. Notably, the prevalence of ESBL-producing

Indexed as

Anti-Bacterial AgentsBacteremiaCOVID-19Drug Resistance, BacterialFemaleHumansMaleMicrobial Sensitivity TestsMiddle AgedPandemicsSARS-CoV-2Anti-Bacterial Agentsbloodstream infectioncoronavirus disease 2019COVID-19drug resistancepandemicpathogen distribution

Identifiers

PMID40791622
PMCPMC12336236

What OpenQuestion holds

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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.