Evidence map›Paper›PMID 40761276›Full record

ArticleFrontiers in microbiology2025

Molecular characteristics and antimicrobial susceptibility of carbapenem-resistant

Hongfei Shi, Yanye Tu, Hong Li, Hui Gao, Feng Wang, Wei Zhang, Min Jiang, Qian Sun, Zheng Bao, Xiangwei Yang and 1 more

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

2 citing papers in PubMed.

  1. Proposed Risk of Bias Assessment Tool forPathogens (Basel, Switzerland) · 2026
    Article
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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

11 authors.

Hongfei ShiDepartment of Clinical Laboratory, The Affiliated Li Huili Hospital of Ningbo University, Ningbo, China.
Yanye TuDepartment of Clinical Laboratory, The Affiliated Li Huili Hospital of Ningbo University, Ningbo, China.
Hong LiDepartment of Clinical Laboratory, The Affiliated Li Huili Hospital of Ningbo University, Ningbo, China.
Hui GaoDepartment of Clinical Laboratory, The Affiliated Li Huili Hospital of Ningbo University, Ningbo, China.
Feng WangDepartment of Clinical Laboratory, The Affiliated Li Huili Hospital of Ningbo University, Ningbo, China.
Wei ZhangDepartment of Clinical Laboratory, The Affiliated Li Huili Hospital of Ningbo University, Ningbo, China.
Min JiangDepartment of Clinical Laboratory, The Affiliated Li Huili Hospital of Ningbo University, Ningbo, China.
Qian SunDepartment of Clinical Laboratory, The Affiliated Li Huili Hospital of Ningbo University, Ningbo, China.
Zheng BaoDepartment of Clinical Laboratory, Xiangshan Red Cross Taiwan Compatriot Hospital Medical and Health Group, Ningbo, China.
Xiangwei YangDepartment of Clinical Laboratory, Second Hospital of Ninghai County, Ningbo, China.
Yanzi ChangDepartment of Clinical Laboratory, The Affiliated Li Huili Hospital of Ningbo University, Ningbo, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To analyze the molecular epidemiology and antimicrobial resistance profiles of carbapenem-resistant Methods: During the period from April 30, 2023 to June 30, 2024, clinical isolates of Results: Among the 81 CR-KP isolates, MLST typing revealed that ST11 was the predominant sequence type, accounting for 66.67% (54/81), with KL64 being the dominant capsular type. Among the non-ST11 CR-KP isolates, the ST15 type accounted for 48.15% (13/27), with KL19 being the predominant capsular serotype. The carriage rate of virulence genes-including Conclusion: In the Ningbo region, CR-KP is predominantly of the ST11-KL64 type, exhibiting both strong antimicrobial resistance and high virulence characteristics. Non-ST11 CR-KP isolates carry genetically diverse carbapenemase genes and mobile genetic elements (e.g., IncX3, ColKP3). ST11 CR-KP strains demonstrate significantly stronger resistance profiles compared to non-ST11 strains. Therefore, stringent control over the use of carbapenem antibiotics is essential, along with measures to prevent the spread of resistance plasmids and the continuous improvement of hospital infection control strategies.

Indexed as

carbapenem resistanceKlebsiella pneumoniaeplasmids introductionresistance genesvirulence genes

Identifiers

PMID40761276
PMCPMC12318958

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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.