Evidence map›Paper›PMID 40069403›Full record

ArticleCommunications medicine2025

Increasing polymyxin resistance in clinical carbapenem-resistant Klebsiella pneumoniae strains in China between 2000 and 2023.

Miaomiao Xie, Yanyan Zhang, Kaichao Chen, Ning Dong, Hongwei Zhou, Yonglu Huang, Congcong Liu, Edward Wai-Chi Chan, Sheng Chen, Rong Zhang

Abstract read
In one paragraph

Article in Communications medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Genomic characterization ofMicrobiology spectrum · 2026
    Article
  2. Advances in CRISPR-Cas for Diagnosis and Treatment ofPathogens (Basel, Switzerland) · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Widespread Distribution of Carbapenem-ResistantAntibiotics (Basel, Switzerland) · 2025
    Article
  7. 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

10 authors.

Miaomiao Xie *Department of Clinical Laboratory, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.ORCID http://orcid.org/0000-0002-6408-2995
Yanyan Zhang *Department of Clinical Laboratory, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Kaichao ChenState Key Laboratory of Chemical Biology and Drug Discovery and Department of Food Science and Nutrition, The Hong Kong Polytechnic University, Hong Kong, China.
Ning DongSchool of Medicine, Zhejiang University, Hangzhou, China.ORCID http://orcid.org/0000-0001-6515-4201
Hongwei ZhouDepartment of Clinical Laboratory, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Yonglu HuangDepartment of Clinical Laboratory, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Congcong LiuDepartment of Clinical Laboratory, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.ORCID http://orcid.org/0000-0002-1989-6711
Edward Wai-Chi ChanState Key Laboratory of Chemical Biology and Drug Discovery and Department of Food Science and Nutrition, The Hong Kong Polytechnic University, Hong Kong, China.
Sheng ChenState Key Laboratory of Chemical Biology and Drug Discovery and Department of Food Science and Nutrition, The Hong Kong Polytechnic University, Hong Kong, China. sheng.chen@polyu.edu.hk.ORCID http://orcid.org/0000-0003-3526-7808
Rong ZhangDepartment of Clinical Laboratory, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China. zhang-rong@zju.edu.cn.ORCID http://orcid.org/0000-0002-2174-7985

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDevelopment of polymyxin resistance in carbapenem-resistant Klebsiella pneumoniae (CRKP) poses a severe challenge to public health. Here we aimed to perform a retrospective study of prevalence and molecular characteristics of polymyxin-resistant CRKP strains.

methods4455 clinical CRKP strains from 18 provinces in China during 2000 to 2023 were collected. Polymyxin-resistant CRKP strains were subjected to antimicrobial susceptibility testing, whole genome sequencing and bioinformatic analysis. Molecular mechanisms underlying the polymyxin resistance in CRKP were analyzed.

resultsHere we show that polymyxin-resistant CRKP emerge initially in 2014, prevalence of such strains then increase steadily over the years, reaching a rate of 9.86% in 2023. In total, 112 polymyxin-resistant CRKP isolates are identified. Antimicrobial susceptibility tests show that all polymyxin-resistant CRKP are resistant to commonly used antibiotics, yet most isolates remain susceptible only to ceftazidime-avibactam and tigecycline. Predominant polymyxin resistance mechanism in CRKP is mutations in mgrB (59/112), which commonly involves disruption of mgrB by insertion of elements such as ISKpn26 (20/59), IS903B (14/59), and ISKpn14 (9/59). Phylogenetic analysis reveals frequent clonal dissemination of polymyxin-resistant CRKP within the same hospital and even among different hospitals in neighboring provinces. pLVPK-like virulence plasmids are detected in 46 isolates, such strains are therefore categorized as polymyxin and carbapenem-resistant hypervirulent K. pneumoniae which may cause infections with high mortality.

conclusionsOur results highlight frequent clonal transmission of polymyxin-resistant CRKP within hospitals. Continuous surveillance of polymyxin resistance among CRKP should be implemented to prevent further dissemination of such strains in clinical settings in China.

Identifiers

PMID40069403
PMCPMC11897290

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.