Evidence map›Paper›PMID 42412070›Full record

ArticleMicrobial genomics2026

Genomic analysis of intrahospital transmission of carbapenem-resistant Gram-negative bacteria: a multicentre study in Japan.

Yasufumi Matsumura, Yohei Doi, Kayoko Hayakawa, Takehiro Hashimoto, Yusuke Tsuda, Sho Saito, Masahiro Suzuki, Aki Sakurai, Koh Shinohara, Keiichiro Mori and 12 more

Abstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Microbial genomics, 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
–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

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

22 authors.

Yasufumi MatsumuraDepartment of Clinical Laboratory Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Yohei DoiDepartment of Microbiology, Fujita Health University School of Medicine, Aichi, Japan.
Kayoko HayakawaDisease Control and Prevention Center, National Center for Global Health and Medicine, Japan Institute for Health Security, Shinjuku, Tokyo, Japan.
Takehiro HashimotoHospital Infection Control Center, Oita University Hospital, Oita, Japan.
Yusuke TsudaDepartment of Clinical Laboratory Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Sho SaitoDisease Control and Prevention Center, National Center for Global Health and Medicine, Japan Institute for Health Security, Shinjuku, Tokyo, Japan.
Masahiro SuzukiDepartment of Microbiology, Fujita Health University School of Medicine, Aichi, Japan.
Aki SakuraiDisease Control and Prevention Center, National Center for Global Health and Medicine, Japan Institute for Health Security, Shinjuku, Tokyo, Japan.
Koh ShinoharaDepartment of Clinical Laboratory Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Keiichiro MoriDepartment of Clinical Laboratory, Kyoto University Hospital, Kyoto, Japan.
Kohei UemuraDepartment of Biostatistics and Bioinformatics, Interfaculty Initiative in Information Studies, The University of Tokyo, Tokyo, Japan.
Shinya TsuzukiFaculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium.
Takashi MatonoDivision of Infectious Disease and Hospital Epidemiology, Saga University Hospital, Saga, Japan.
Naoya ItohDepartment of Infectious Diseases, Graduate School of Medical Sciences, Nagoya City University, Nagoya, Aichi, Japan.
Ryota HaseDepartment of Infectious Diseases, Japanese Red Cross Narita Hospital, Chiba, Japan.
Hideaki KatoInfection Prevention and Control Department, Yokohama City University Hospital, Kanagawa, Japan.
Momoko MawatariDepartment of Infectious Diseases, Japanese Red Cross Medical Center, Tokyo, Japan.
Takeya TsutsumiDepartment of Infectious Diseases, The University of Tokyo Hospital, Tokyo, Japan.
Go YamamotoDepartment of Infection Control and Prevention, Osaka University Hospital, Osaka, Japan.
Yasuhiro TsuchidoDepartment of Clinical Laboratory Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Masaki YamamotoDepartment of Clinical Laboratory Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Miki NagaoDepartment of Clinical Laboratory Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aimed to identify genomically defined strain transmission events of carbapenem-resistant Gram-negative bacteria (CRGNB) in hospitals, estimate species-specific transmission rates and identify risk factors for transmission. The study included 708 patients from a Japanese prospective multicentre cohort study, the MultiDrug-Resistant organisms clinical research network, from whom at least one CRGNB isolate was collected between 2019 and 2024 (750 isolates in total). Clinical data were retrieved from electronic medical records, and microbiological analyses were performed at a central reference laboratory. Transmission events were determined via whole-genome sequencing data and single-nucleotide polymorphism-based genomic clustering. We identified 37 genomic clusters associated with intrahospital transmission and 1 associated with interhospital transmission. Ninety-four patients (13%) carried at least one isolate involved in intrahospital transmission, and each transmission event involved two to six patients. Patients with

Indexed as

CarbapenemsCross InfectionGram-Negative BacteriaGram-Negative Bacterial InfectionsAgedAnti-Bacterial AgentsBacterial Proteinsbeta-LactamasesDrug Resistance, Multiple, BacterialFemaleGenomicsHumansJapanMaleMiddle AgedProspective StudiesAnti-Bacterial AgentsBacterial Proteinsbeta-LactamasescarbapenemaseCarbapenemsantimicrobial resistancecarbapenemasecarbapenemsgenomic clustertransmission

Identifiers

PMID42412070
PMCPMC13340626

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Registered trials

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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.