Evidence map›Paper›PMID 41195361›Full record

ArticleFrontiers in cellular and infection microbiology2025

Study on resistance mechanisms and molecular epidemiology of carbapenem-resistant

Xiaohan Qiao, He Zhang, Yao Xu, Ting Cao, Ruobing Wang, Xinyu Deng, Wei Liang, Lin Zheng

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PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in cellular and infection 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

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

2 citing papers in PubMed.

  1. Review
  2. 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

8 authors.

Xiaohan QiaoDepartment of Clinical Laboratory, The First Affiliated Hospital of Ningbo University, Ningbo, China.
He ZhangDepartment of Medical Laboratory, Bengbu Medical University, Bengbu, China.
Yao XuSchool of Medicine, Ningbo University, Ningbo, China.
Ting CaoSchool of Laboratory Medicine and Life Science, Wenzhou Medical University, Wenzhou, China.
Ruobing WangSchool of Laboratory Medicine and Life Science, Wenzhou Medical University, Wenzhou, China.
Xinyu DengSchool of Food Science and Engineering, Ningbo University, Ningbo, China.
Wei LiangDepartment of Clinical Laboratory, The First Affiliated Hospital of Ningbo University, Ningbo, China.
Lin ZhengDepartment of Clinical Laboratory, The First Affiliated Hospital of Ningbo University, Ningbo, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Carbapenem-resistant Objective: This study investigates the epidemiology and molecular mechanisms of CZA resistance in CRPA isolates from Ningbo, China. Methods: A total of 279 non-duplicate clinical CRPA isolates (2022-2024) were classified as CZA-resistant (CZA-R, n = 68) or CZA-susceptible (CZA-S, n = 211). Carbapenemase genes were detected by PCR, clonality via MLST, biofilm formation by crystal violet assay, and efflux pump expression ( Results: The CZA resistance rate was 24.37%. Risk factors included recent trauma, prior antibiotic exposure, central venous catheterization, and drainage tube placement (all Conclusion: Our findings indicate a high prevalence of CZA resistance among CRPA isolates in Ningbo, driven by multiple mechanisms including

Indexed as

Azabicyclo CompoundsCeftazidimeDrug Resistance, BacterialPseudomonas aeruginosaPseudomonas InfectionsAgedAged, 80 and overBacterial Proteinsbeta-LactamasesBiofilmsCarbapenemsChinaHospitalsHumansMultilocus Sequence TypingTreatment OutcomeavibactamAzabicyclo CompoundsBacterial Proteinsbeta-LactamasescarbapenemaseCarbapenemsCeftazidimebiofilmblaNDM genecarbapenem-resistant Pseudomonas aeruginosa(CRPA)ceftazidime-avibactam (CZA)efflux pumpsmultilocus sequence typing (MLST)resistance mechanism

Identifiers

PMID41195361
PMCPMC12583027

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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.