Evidence map›Paper›PMID 42904077›Full record

ArticleInfection prevention in practice2026

Molecular epidemiological analysis of a suspected nosocomial outbreak of carbapenem-resistant

Mahoko Ikeda, Sachiko Hirose, Satomi Takei, Gene Igawa, Satoshi Hori, Yuki Uehara, Akio Kanazawa, Mai Suzuki, Yoko Tabe, Toshio Naito

Abstract read
In one paragraph

Article in Infection prevention in practice, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

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

10 authors.

Mahoko IkedaDepartment of General Medicine, Juntendo University Faculty of Medicine, Tokyo, Japan.
Sachiko HiroseInfection Prevention and Control Unit, Department of Infection Prevention and Control, Juntendo University Hospital, Tokyo, Japan.
Satomi TakeiDepartment of Clinical Laboratory Medicine, Juntendo University Faculty of Medicine, Tokyo, Japan.
Gene IgawaDepartment of Clinical Laboratory, Juntendo University Hospital, Tokyo, Japan.
Satoshi HoriInfection Prevention and Control Unit, Department of Infection Prevention and Control, Juntendo University Hospital, Tokyo, Japan.
Yuki UeharaDepartment of General Medicine, Juntendo University Faculty of Medicine, Tokyo, Japan.
Akio KanazawaDepartment of General Medicine, Juntendo University Faculty of Medicine, Tokyo, Japan.
Mai SuzukiDepartment of General Medicine, Juntendo University Faculty of Medicine, Tokyo, Japan.
Yoko TabeDepartment of Clinical Laboratory Medicine, Juntendo University Faculty of Medicine, Tokyo, Japan.
Toshio NaitoDepartment of General Medicine, Juntendo University Faculty of Medicine, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Carbapenem-resistant Enterobacterales (CRE) are a common source of healthcare-associated infections and nosocomial outbreaks. We examined a suspected nosocomial outbreak of carbapenem-resistant Methods: We used whole-genome sequencing (WGS) to assess the genetic relatedness of eight detected isolates. Results: Molecular epidemiological analyses confirmed the outbreak as a pseudo-outbreak. During the period of assessment, the hospital infection control team implemented multiple interventions to promote stringent hand hygiene compliance, appropriate use of personal protective equipment, and adherence to best practices for wound care and body fluid management. Despite these measures, intermittent CRE isolation continued. Notably, WGS analyses revealed that all assessed isolates were genetically unique, with no evidence to indicate clonal relatedness. Conclusions: The suspected nosocomial outbreak comprised sporadic, unrelated cases of CRE. Our findings in this study highlight the significance of molecular epidemiological tools in precisely evaluating suspected outbreaks of CRE and in directing the effective deployment of infection control resources.

Indexed as

Carbapenem-resistant EnterobacteralesOutbreakPulsed-field gel electrophoresisWhole-genome sequencing

Identifiers

PMID42904077
PMCPMC13681980

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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.