Evidence map›Paper›PMID 41782943›Full record

ArticleFrontiers in cellular and infection microbiology2026

Molecular epidemiological association between antimicrobial resistance characteristics and type III secretion system in carbapenem-resistant

Yun Zhou, Yanzi Chang, Chen Huang, Ximing Wang, Feng Wang, Hong Li

Abstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yun ZhouDepartment of Clinical Laboratory, The Affiliated Lihuili Hospital of Ningbo University, Ningbo, Zhejiang, China.
Yanzi ChangDepartment of Scientific Research, The Affiliated Lihuili Hospital of Ningbo University, Ningbo, Zhejiang, China.
Chen HuangDepartment of Pulmonary and Critical Care Medicine, The Affiliated Lihuili Hospital of Ningbo University, Ningbo, Zhejiang, China.
Ximing WangBasic Medical Sciences and Forensic Medicine, Hangzhou Medical College, Hangzhou, Zhejiang, China.
Feng WangDepartment of Clinical Laboratory, The Affiliated Lihuili Hospital of Ningbo University, Ningbo, Zhejiang, China.
Hong LiDepartment of Hepatobiliary and Pancreatic Surgery, The Affiliated Lihuili Hospital of Ningbo University, Ningbo, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Objective: This study investigated the antimicrobial resistance profile of carbapenem-resistant Methods: Retrospective cohort study was performed with CRPA lower respiratory tract infection from a tertiary hospital (July, 2021, and May, 2025). All strains underwent whole-genome sequencing (WGS), antimicrobial susceptibility testing(AST); selected isolates' virulence were further evaluated using galleria mellonella infection assays. Results: Among 106 patients caused by CRPA infections, the majority were male (73.6%), with a median age of 69.5 years and median hospital stay of 26.5 days. Prior antibiotic exposure included piperacillin/tazobactam (57.5%) and carbapenems (49.1%). AST revealed high resistance to piperacillin/tazobactam, but favorable susceptibility to ceftazidime/avibactam and tobramycin, with no polymyxin B resistance. Multidrug resistance occurred in 49.1% of isolates, and 28.3% were difficult-to-treat Conclusions:

Indexed as

Anti-Bacterial AgentsCarbapenemsDrug Resistance, Multiple, BacterialPseudomonas aeruginosaPseudomonas InfectionsRespiratory Tract InfectionsAgedAnimalsBacterial Proteinsbeta-LactamasesFemaleHumansMaleMicrobial Sensitivity TestsMolecular EpidemiologyRetrospective StudiesAnti-Bacterial AgentsBacterial Proteinsbeta-LactamasesCarbapenemsBlaKPC-3CRPAExoSExoUST1076-O11

Identifiers

PMID41782943
PMCPMC12953427

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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.