Evidence map›Paper›PMID 40453907›Full record

ArticleJAC-antimicrobial resistance2025

Clonal dissemination and persistence of Carbapenem-resistant

Eunkyung Shin, Dong-Yeop Lee, Min Kyeong Kim, Jaeil Yoo, Ji-Yeon Hyeon, Junyoung Kim

Abstract read
In one paragraph

Article in JAC-antimicrobial resistance, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Eunkyung ShinDivision of Bacterial Diseases, Bureau of Infectious Disease Diagnosis Control, Korea Disease Control and Prevention Agency, Cheongju, Republic of Korea.
Dong-Yeop LeeDepartment of Veterinary Medicine, College of Veterinary Medicine, Konkuk University, 120 Neungdong-ro, Gwangjin-gu, Seoul 05029, Republic of Korea.
Min Kyeong KimDivision of Bacterial Diseases, Bureau of Infectious Disease Diagnosis Control, Korea Disease Control and Prevention Agency, Cheongju, Republic of Korea.
Jaeil YooDivision of Bacterial Diseases, Bureau of Infectious Disease Diagnosis Control, Korea Disease Control and Prevention Agency, Cheongju, Republic of Korea.
Ji-Yeon HyeonDepartment of Veterinary Medicine, College of Veterinary Medicine, Konkuk University, 120 Neungdong-ro, Gwangjin-gu, Seoul 05029, Republic of Korea.
Junyoung KimDivision of Bacterial Diseases, Bureau of Infectious Disease Diagnosis Control, Korea Disease Control and Prevention Agency, Cheongju, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: We investigated the epidemiological patterns of carbapenem-resistant, Methods: Whole genome sequences of 25 isolates from hospital GB2 and 45 isolates from 25 other hospitals were analysed for antibiotic resistance gene profiles, virulence gene profiles, plasmid replicons, and phylogenetic relationships. Results: Core genome single nucleotide polymorphism (cgSNP)-based phylogenetic analysis categorized the 70 isolates into three distinct groups and 13 subgroups, supported by high bootstrap values and low SNP differences. Subgroup 1 comprised the 18 isolates from GB2 collected over 3 years, suggesting long-term persistence and repeated outbreaks within GB2. Region-specific dissemination was indicated by several subgroups containing isolates from different hospitals within the same province. Subgroup 7 comprised isolates from multiple provinces and years, suggesting potential long-distance transmission via patient transfers or community reservoirs. All isolates carried multiple β-lactam resistance genes; Conclusions: Our findings reveal both clonal persistence within a tertiary hospital and region-specific dissemination of

Identifiers

PMID40453907
PMCPMC12123512

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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.