Evidence map›Paper›PMID 39658728›Full record

ArticleEuropean journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology2025

Genomic Epidemiology of Pseudomonas aeruginosa Sequence Type 111.

Yasufumi Matsumara, Gisele Peirano, Marleen Kock, Johann D D Pitout

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Article in European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology, 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. Detection of the ST111 Global High-RiskCurrent issues in molecular biology · 2025
    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

4 authors.

Yasufumi MatsumaraKyoto University Graduate School of Medicine, Kyoto, Japan.
Gisele PeiranoCummings School of Medicine, University of Calgary, #9, 3535 Research Road NW, Calgary, AB, Canada.
Marleen KockUniversity of Pretoria, Pretoria, Gauteng, South Africa.
Johann D D PitoutCummings School of Medicine, University of Calgary, #9, 3535 Research Road NW, Calgary, AB, Canada. jpitout@ucalgary.ca.

Funding

National Institute of Health 10028552
6 · The paper itself

Abstract

purposePseudomonas aeruginosa ST111 is a global multidrug resistant (MDR) high-risk clone and comprehensive data about its molecular epidemiology is limited in Canada. Comprehensive data about the evolution of ST111 clades is limited. We characterized a Canadian collection of ST111 causing bloodstream infections and investigated the genomic relationship between Canadian and global ST111. MATERIAL AND

methodsWe used long and short read WGS to characterize Canadian ST111 (n = 10 from 2010-18). We performed phylogenetic analysis on a global collection of ST111 (n = 969) and investigated the evolutionary history of clades using BEAST.

resultsST111 belonged to 3 clades (A, B, C) and two subclades (C1, C2). ST111-A was the ancestral clade while clades B, C1 and C2 emerged during the 1700s and 1800s. ST111-C2 dominated the global ST111 population. Serotype switching from O4 to O12 and the acquisition of Tn21, gyrA_T83I, parC_S87L, In59 with bla

conclusionsWe provided details on the emergence and evolution of different ST111 clades over time and highlighted the roles of serotype switching and the acquisition of certain AMR determinants and transposon structures in the evolution of ST111-C2.

Indexed as

Pseudomonas aeruginosaPseudomonas InfectionsBacteremiaCanadaDrug Resistance, Multiple, BacterialEvolution, MolecularGenome, BacterialHumansMolecular EpidemiologyPhylogenyWhole Genome SequencingGenomic epidemiologyMDR P. aeruginosa cloneST111

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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.