Evidence map›Paper›PMID 32962640›Full record

ArticleBMC infectious diseases2020

Genotypic characterisation and antimicrobial resistance of Pseudomonas aeruginosa strains isolated from patients of different hospitals and medical centres in Poland.

Marcin Brzozowski, Żaneta Krukowska, Katarzyna Galant, Joanna Jursa-Kulesza, Danuta Kosik-Bogacka

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in BMC infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
1.6field-weighted citation impact, top 18% 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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 36 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Multidrug-resistant Pseudomonas aeruginosa in ICU patients and hospital surfaces: β-lactamase burden, biofilm formation and clonal spread.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
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  8. Does Every Strain ofPathogens (Basel, Switzerland) · 2024
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  18. CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2021
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  19. Public health action · 2021
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  20. Exogenous lipoid pneumonia associated with oil-based oral and nasal products.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2021
    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

5 authors at 1 institution in 1 country.

Marcin BrzozowskiDepartment of Medical Microbiology, Chair of Microbiology, Immunology and Laboratory Medicine, Pomeranian Medical University in Szczecin, Powstanców Wielkopolskich 72, 70-111, Szczecin, Poland.
Żaneta KrukowskaDepartment of Medical Microbiology, Chair of Microbiology, Immunology and Laboratory Medicine, Pomeranian Medical University in Szczecin, Powstanców Wielkopolskich 72, 70-111, Szczecin, Poland.
Katarzyna GalantDepartment of Laboratory Medicine; Chair of Microbiology, Immunology and Laboratory Medicine, Pomeranian Medical University in Szczecin, Powstanców Wielkopolskich 72, 70-111, Szczecin, Poland.
Joanna Jursa-KuleszaDepartment of Medical Microbiology, Chair of Microbiology, Immunology and Laboratory Medicine, Pomeranian Medical University in Szczecin, Powstanców Wielkopolskich 72, 70-111, Szczecin, Poland.
Danuta Kosik-BogackaIndependent of Pharmaceutical Botany, Pomeranian Medical University in Szczecin, Powstanców Wielkopolskich 72, 70-111, Szczecin, Poland. kodan@pum.edu.pl.ORCID http://orcid.org/0000-0002-3796-5493
Pomeranian Medical University · PL

Funding

Pomeranian Medical University MB-134-211/17
6 · The paper itself

Abstract

backgroundPseudomonas aeruginosa is a Gram-negative bacteria responsible for infections in immunocompromised patients and is one of the most common causes of nosocomial infections particularly in intensive care and burn units. We aimed to investigate the population structure of P. aeruginosa strains isolated from patients at different hospital wards.

methodsWe analysed the possible presence of P. aeruginosa epidemic or endemic strains in hospitals of the selected region. A genotyping analysis was performed for P. aeruginosa isolates (n = 202) collected from patients of eleven hospitals in north-western Poland. Collections of P. aeruginosa were genotyped using pulsed-field gel electrophoresis (PFGE). Phenotypic screening for antibiotic susceptibility was performed for the common antimicrobial agents.

resultsPseudomonas aeruginosa isolates were distributed among 116 different pulsotype groups. We identified 30 groups of clonally related strains, each containing from 2 to 17 isolates and typed the obtained 13 unique patterns, designated as A, D, E, J, K, M, N, Ó, P, T, X, AC, AD, and AH. The two largest clusters, D and E, contained 17 and 13 isolates, respectively. Strains of these groups were continuously isolated from patients at intensive care units and burn units, indicating transmission of these strains.

conclusionsIn this study, we demonstrate the clonal relatedness of P. aeruginosa strains and their constant exchange in hospitals over a period of 15 months. The obtained results indicate a predominantly non-clonal structure of P. aeruginosa.

Indexed as

Anti-Bacterial AgentsCross InfectionDrug Resistance, BacterialElectrophoresis, Gel, Pulsed-FieldGenotyping TechniquesHospitalsHumansIntensive Care UnitsMicrobial Sensitivity TestsPolandPseudomonas aeruginosaPseudomonas InfectionsAnti-Bacterial AgentsAntimicrobial resistanceGenotypingPFGEPopulation structurePseudomonas aeruginosa

Identifiers

PMID32962640
PMCPMC7507710
OpenAlexW3089040752

What OpenQuestion holds

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LicenceCC BY
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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.