Evidence map›Paper›PMID 37898766›Full record

ArticleBMC microbiology2023

Molecular characteristics and antimicrobial resistance profiles of Carbapenem-Resistant Klebsiella pneumoniae isolates at a tertiary hospital in Nanning, China.

Xianzhen Wei, Qiuxiang Li, Yu He, Linlin Li, Shan Li, Taijie Li

Open access · goldAbstract read
In one paragraph

Article in BMC microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 31% of its field
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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Clinical Epidemiological Analysis of the Genotypic Spectrum and Mortality Risk in Carbapenem-ResistantThe Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2026
    Review
  2. Article
  3. Article
  4. CombatingFrontiers in cellular and infection microbiology · 2025
    Review
  5. Predominance of OXA-48 carbapenemase-producingBiomolecules & biomedicine · 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

6 authors at 2 institutions in 1 country.

Xianzhen Wei *Department of Clinical Laboratory, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Qiuxiang Li *Department of Clinical Laboratory, Joint Logistics Support Force of the Chinese People's Liberation Army, 923 Hospital, Nanning, China.
Yu HeDepartment of Clinical Laboratory, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Linlin LiDepartment of Clinical Laboratory, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Shan LiDepartment of Clinical Laboratory, The First Affiliated Hospital of Guangxi Medical University, Nanning, China. lis8858@126.com.
Taijie LiDepartment of Clinical Laboratory, Wuming Hospital of Guangxi Medical University, Nanning, China. nicesown@163.com.
Guangxi Medical University · CN303 Hospital of People's Liberation Army · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeCarbapenem resistant Klebsiella pneumoniae is associated with nosocomial infections and can cause high mortality, which poses great threat to human health. This study was aimed at investigating the molecular epidemiology and antimicrobial resistance profiles of carbapenem resistant Klebsiella pneumoniae isolates and providing clues for management and control of carbapenem resistant Klebsiella pneumoniae infections.

methodsA total of 2324 Klebsiella pneumoniae strains were isolated from the First Affiliated Hospital of Guangxi Medical University from June 2018 to October 2020, and 103 carbapenem resistant Klebsiella pneumoniae strains from inpatients were collected, and the specimens mainly came from the sputum, urine, secretions, and blood. The antimicrobial susceptibility tests were performed using the VITEK 2 Compact system or the Kirby-Bauer disk-diffusion method. The resistance genes were detected by polymerase chain reaction and sequencing. The homology analysis of carbapenem resistant Klebsiella pneumoniae strains was performed by multilocus sequence typing.

resultsAntimicrobial susceptibility results showed that the 103 carbapenem resistant Klebsiella pneumoniae strains were resistant to most common antibiotics. Resistance genes detection showed that the carbapenem resistant Klebsiella pneumoniae isolates mainly carried metallo-beta-lactamase, and the predominant gene was NDM-1. The homology analysis found that the major ST type were ST11, follow by ST15 and ST17.

conclusionThe carbapenem resistant Klebsiella pneumoniae isolates in our study shown resistance to most common antibiotics. Of the 103 carbapenem resistant Klebsiella pneumoniae strains, 91 strains (88.35%) carried carbapenemases genes, and NDM was the predominant carbapenemase gene detected. ST11 was the major ST typing of carbapenem resistant Klebsiella pneumoniae in our hospital. Our finding may play a role in control and management of the carbapenem resistant Klebsiella pneumoniae infections and guiding clinical antibiotic therapy. In addition, metallo-beta-lactamase should be served as a key target to be monitored in carbapenem resistant Klebsiella pneumoniae infection.

Indexed as

Carbapenem-Resistant EnterobacteriaceaeKlebsiella InfectionsAnti-Bacterial Agentsbeta-LactamasesCarbapenemsChinaDrug Resistance, BacterialHumansKlebsiella pneumoniaeMicrobial Sensitivity TestsMultilocus Sequence TypingTertiary Care CentersAnti-Bacterial Agentsbeta-LactamasesCarbapenemsAntimicrobial susceptibilityCarbapenemasesCarbapenem-resistant Klebsiella pneumoniaeMLST

Identifiers

PMID37898766
PMCPMC10612196
OpenAlexW4388002319

What OpenQuestion holds

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LicenceCC BY
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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.