Evidence map›Paper›PMID 38267719›Full record

ArticleCurrent microbiology2024

Genomic Characterization of Two NDM-5-Producing Isolates of Klebsiella pneumoniae ST11 from a Single Patient.

Verónica E Álvarez, Laura Carrera Páez, María Piekar, Natalia García Allende, Josefina Campos, Nicolás Mendiondo, Andrea Aguilar, Barbara Fox, Liliana Fernández-Canigia, María P Quiroga and 1 more

Abstract read
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In one paragraph

Article in Current microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 38% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Sporadic cloneFrontiers in cellular and infection microbiology · 2024
    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 4 institutions in 1 country.

Verónica E ÁlvarezInstituto de Investigaciones en Microbiología y Parasitología Médica (IMPaM, UBA-CONICET), Laboratorio de Investigaciones en Mecanismos de Resistencia a Antibióticos (LIMRA), Facultad de Medicina, Universidad de Buenos Aires, Buenos Aires, Argentina.
Laura Carrera PáezInstituto de Investigaciones en Microbiología y Parasitología Médica (IMPaM, UBA-CONICET), Laboratorio de Investigaciones en Mecanismos de Resistencia a Antibióticos (LIMRA), Facultad de Medicina, Universidad de Buenos Aires, Buenos Aires, Argentina.
María PiekarInstituto de Investigaciones en Microbiología y Parasitología Médica (IMPaM, UBA-CONICET), Nodo Bioinformático, Facultad de Medicina, Universidad de Buenos Aires, Buenos Aires, Argentina.
Natalia García AllendeInstituto de Investigaciones en Microbiología y Parasitología Médica (IMPaM, UBA-CONICET), Laboratorio de Investigaciones en Mecanismos de Resistencia a Antibióticos (LIMRA), Facultad de Medicina, Universidad de Buenos Aires, Buenos Aires, Argentina.
Josefina CamposPlataforma de Genómica y Bioinformática, INEI-ANLIS "Dr. Carlos G. Malbrán", Buenos Aires, Argentina.
Nicolás MendiondoInstituto de Investigaciones en Microbiología y Parasitología Médica (IMPaM, UBA-CONICET), Nodo Bioinformático, Facultad de Medicina, Universidad de Buenos Aires, Buenos Aires, Argentina.
Andrea AguilarInstituto de Investigaciones en Microbiología y Parasitología Médica (IMPaM, UBA-CONICET), Nodo Bioinformático, Facultad de Medicina, Universidad de Buenos Aires, Buenos Aires, Argentina.
Barbara FoxHospital Alemán, Buenos Aires, Argentina.
Liliana Fernández-CanigiaHospital Alemán, Buenos Aires, Argentina.
María P QuirogaInstituto de Investigaciones en Microbiología y Parasitología Médica (IMPaM, UBA-CONICET), Laboratorio de Investigaciones en Mecanismos de Resistencia a Antibióticos (LIMRA), Facultad de Medicina, Universidad de Buenos Aires, Buenos Aires, Argentina.
Daniela CentrónInstituto de Investigaciones en Microbiología y Parasitología Médica (IMPaM, UBA-CONICET), Laboratorio de Investigaciones en Mecanismos de Resistencia a Antibióticos (LIMRA), Facultad de Medicina, Universidad de Buenos Aires, Buenos Aires, Argentina. dcentron@gmail.com.
Universidad de Buenos Aires · ARConsejo Nacional de Investigaciones Científicas y Técnicas · ARHospital Alemán · ARAdministración Nacional de Laboratorios e Institutos de Salud · AR

Funding

CONICET PUE 2522FONCYT PICT 2021 (1120)FONCYT PICT- 2021-I-INVI-00790Pfizer Foundation ISID/Pfizer 2019UBACYT Programación Científica 2018
6 · The paper itself

Abstract

Two metallo-β-lactamase-producing Klebsiella pneumoniae (HA30 and HA31) were isolated in a hospital in Argentina during 2018. K. pneumoniae HA30 was isolated from a rectal swab during the epidemiological surveillance for carbapenemase-producing strains, while K. pneumoniae HA31 was collected from the same patient 4 days after hospitalization. The aim of the present study was to identify the clonal relationships and resistome of these two NDM-producing K. pneumoniae strains isolated from a patient with a fatal outcome. Whole-genome sequencing (WGS) was performed using Illumina MiSeq-I, and subsequent analysis involved genome assembly, annotation, antibiotic resistance gene identification, multilocus sequence typing (MLST), and plasmid characterization using bioinformatics tools. Conjugation assays to E. coli J53 was conducted as previously described. K. pneumoniae HA30 exhibited extensively drug-resistant phenotype, while HA31 was multidrug-resistant as defined by Magiorakos et al., including both resistance to carbapenems, aminoglycosides and ciprofloxacin with bla

Indexed as

Escherichia coliKlebsiella pneumoniaeAnti-Bacterial Agentsbeta-LactamasesGenomicsHumansMultilocus Sequence TypingAnti-Bacterial Agentsbeta-Lactamases

Identifiers

PMID38267719
OpenAlexW4391227904

What OpenQuestion holds

Textmetadata
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.