Evidence map›Paper›PMID 38449053›Full record

ArticleJournal of health, population, and nutrition2024

Epidemiologic analysis of antimicrobial resistance in hospital departments in China from 2022 to 2023.

Hui-Jun Bai, Qing-Feng Geng, Fang Jin, Yong-Li Yang

Abstract read
In one paragraph

Article in Journal of health, population, and nutrition, 2024. 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

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

6 citing papers in PubMed.

  1. Article
  2. Article
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  5. Article
  6. Antimicrobial and Antibiofilm Potential ofPlants (Basel, Switzerland) · 2024
    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.

Hui-Jun Bai *Department of Clinical Pharmacy, The Seventh People's Hospital of Hebei Province, 389 Jungong Road, Xicheng District, Dingzhou, 073000, China.
Qing-Feng Geng *Department of Hospital Office, The Seventh People's Hospital of Hebei Province, 389 Jungong Road, Xicheng District, Dingzhou, 073000, China.
Fang Jin *Department of Clinical Laboratory, The Seventh People's Hospital of Hebei Province, 389 Jungong Road, Xicheng District, Dingzhou, 073000, China.
Yong-Li Yang *Department of Hospital Office, The Seventh People's Hospital of Hebei Province, 389 Jungong Road, Xicheng District, Dingzhou, 073000, China. yang27ylkam@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacterial drug resistance monitoring in hospitals is a crucial aspect of healthcare management and a growing concern worldwide. In this study, we analysed the bacterial drug resistance surveillance in our hospital from 2022 Q1 to 2023 Q2. The main sampling sources were respiratory, blood, and urine-based, and the main clinical infections were respiratory and genitourinary in nature. Specimens were inoculated and cultured; bacterial strains were isolated using a VITEK® 2 Compact 60-card automatic microorganism identifier (bioMerieux, Paris, France) and their matching identification cards were identified, and manual tests were supplemented for strain identification. The most common Gram-positive bacteria detected were Staphylococcus aureus, followed by Enterococcus faecalis (E. faecalis), Staphylococcus epidermidis (S. epidermidis), and Staphylococcus haemolyticus (S. haemolyticus). The most common Gram-negative bacteria detected were Escherichia coli, Klebsiella pneumoniae, and Pseudomonas aeruginosa. The most prevalent multidrug-resistant bacteria were those producing extended-spectrum beta-lactamases, followed by methicillin-resistant Staphylococcus aureus, followed by carbapenem-resistant Enterobacterales. This study suggests that the prevention and control of infections in the respiratory and genitourinary systems should be the focus of anti-infective work and that the use of antimicrobials should be reduced and regulated to prevent the emergence and spread of resistant bacteria.

Indexed as

Anti-Bacterial AgentsMethicillin-Resistant Staphylococcus aureusChinaDrug Resistance, BacterialEscherichia coliHospital DepartmentsHumansAnti-Bacterial AgentsAntimicrobial susceptibility testingBacterial drug resistance surveillanceHospital infectionsMultidrug-resistant bacteriaPenicillin

Identifiers

PMID38449053
PMCPMC10918933

What OpenQuestion holds

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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 OpenQuestion graph.