Evidence map›Paper›PMID 33428729›Full record

ArticleThe Journal of antimicrobial chemotherapy2021

Comparative genomics of ESBL-producing Escherichia coli (ESBL-Ec) reveals a similar distribution of the 10 most prevalent ESBL-Ec clones and ESBL genes among human community faecal and extra-intestinal infection isolates in the Netherlands (2014-17).

T D Verschuuren, D van Hout, S Arredondo-Alonso, A C Fluit, E A Reuland, J Top, A C Schürch, T Bosch, M J M Bonten, J A J W Kluytmans and 1 more

Open access · hybridAbstract read
In one paragraph

Article in The Journal of antimicrobial chemotherapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.3field-weighted citation impact, top 19% of its field
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

16 citing papers in PubMed, 24 citations in OpenAlex.

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  10. Population-Based Incidence and Characteristics of AdultOpen forum infectious diseases · 2023
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  13. Comparative genomic analysis of ESBL-producingJAC-antimicrobial resistance · 2022
    Article
  14. GLO1 Contributes to the Drug Resistance ofInfection and drug resistance · 2022
    Article
  15. First Report ofFrontiers in microbiology · 2022
    Article
  16. 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

11 authors at 2 institutions in 1 country.

T D VerschuurenJulius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, The Netherlands.
D van HoutJulius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, The Netherlands.
S Arredondo-AlonsoDepartment of Medical Microbiology, University Medical Centre Utrecht, Utrecht, The Netherlands.
A C FluitDepartment of Medical Microbiology, University Medical Centre Utrecht, Utrecht, The Netherlands.
E A ReulandDepartment of Medical Microbiology, University Medical Centre Utrecht, Utrecht, The Netherlands.
J TopDepartment of Medical Microbiology, University Medical Centre Utrecht, Utrecht, The Netherlands.
A C SchürchDepartment of Medical Microbiology, University Medical Centre Utrecht, Utrecht, The Netherlands.
T BoschThe Netherlands Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands.
M J M BontenJulius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, The Netherlands.
J A J W KluytmansJulius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, The Netherlands.
R J L WillemsDepartment of Medical Microbiology, University Medical Centre Utrecht, Utrecht, The Netherlands.
University Medical Center Utrecht · NLNational Institute for Public Health and the Environment · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe human gut microbiota is an important reservoir of ESBL-producing Escherichia coli (ESBL-Ec). Community surveillance studies of ESBL-Ec to monitor circulating clones and ESBL genes are logistically challenging and costly.

objectivesTo evaluate if isolates obtained in routine clinical practice can be used as an alternative to monitor the distribution of clones and ESBL genes circulating in the community.

methodsWGS was performed on 451 Dutch ESBL-Ec isolates (2014-17), including 162 community faeces and 289 urine and blood isolates. We compared proportions of 10 most frequently identified STs, PopPUNK-based sequence clusters (SCs) and ESBL gene subtypes and the degree of similarity using Czekanowski's proportional similarity index (PSI).

resultsNine out of 10 most prevalent STs and SCs and 8/10 most prevalent ESBL genes in clinical ESBL-Ec were also the most common types in community faeces. The proportions of ST131 (39% versus 23%) and SC131 (40% versus 25%) were higher in clinical isolates than in community faeces (P < 0.01). Within ST131, H30Rx (C2) subclade was more prevalent among clinical isolates (55% versus 26%, P < 0.01). The proportion of ESBL gene blaCTX-M-1 was lower in clinical isolates (5% versus 18%, P < 0.01). Czekanowski's PSI confirmed that the differences in ESBL-Ec from community faeces and clinical isolates were limited.

conclusionsDistributions of the 10 most prevalent clones and ESBL genes from ESBL-Ec community gut colonization and extra-intestinal infection overlapped in majority, indicating that isolates from routine clinical practice could be used to monitor ESBL-Ec clones and ESBL genes in the community.

Indexed as

Escherichia coli InfectionsAnti-Bacterial Agentsbeta-LactamasesClone CellsEscherichia coliFecesGenomicsGenotypeHumansNetherlandsAnti-Bacterial Agentsbeta-Lactamases

Identifiers

PMID33428729
PMCPMC7953314
OpenAlexW3119952926

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.