Evidence map›Paper›PMID 37709838›Full record

ArticleScientific reports2023

Pipeline validation for the identification of antimicrobial-resistant genes in carbapenem-resistant Klebsiella pneumoniae.

Andressa de Almeida Vieira, Bruna Candia Piccoli, Thaís Regina Y Castro, Bruna Campestrini Casarin, Luiza Funck Tessele, Roberta Cristina Ruedas Martins, Alexandre Vargas Schwarzbold, Priscila de Arruda Trindade

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Pangenomic and genomic plasticity analyses of the genus Rickettsia.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Network analysis of antimicrobial resistance inNAR genomics and bioinformatics · 2025
    Article
  8. Article
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  10. Article
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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

8 authors.

Andressa de Almeida VieiraLaboratório de Biologia Molecular e Bioinformática Aplicada à Microbiologia Clínica, Programa de Pós-Graduação em Ciências Farmacêuticas, Universidade Federal de Santa Maria, Santa Maria, 97105-900, Brazil.
Bruna Candia PiccoliLaboratório de Biologia Molecular e Bioinformática Aplicada à Microbiologia Clínica, Programa de Pós-Graduação em Ciências Farmacêuticas, Universidade Federal de Santa Maria, Santa Maria, 97105-900, Brazil.
Thaís Regina Y CastroLaboratório de Biologia Molecular e Bioinformática Aplicada à Microbiologia Clínica, Programa de Pós-Graduação em Ciências Farmacêuticas, Universidade Federal de Santa Maria, Santa Maria, 97105-900, Brazil.
Bruna Campestrini CasarinLaboratório de Biologia Molecular e Bioinformática Aplicada à Microbiologia Clínica, Programa de Pós-Graduação em Ciências Farmacêuticas, Universidade Federal de Santa Maria, Santa Maria, 97105-900, Brazil.
Luiza Funck TesseleLaboratório de Biologia Molecular e Bioinformática Aplicada à Microbiologia Clínica, Programa de Pós-Graduação em Ciências Farmacêuticas, Universidade Federal de Santa Maria, Santa Maria, 97105-900, Brazil.
Roberta Cristina Ruedas MartinsLaboratório de Parasitologia Médica (LIM-46), Departamento de Doenças Infecciosas e Parasitárias, Instituto de Medicina Tropical da Universidade de São Paulo, Faculdade de Medicina da Universidade de São Paulo, São Paulo, 01246-903, Brazil.
Alexandre Vargas SchwarzboldDepartamento de Clínica Médica, Universidade Federal de Santa Maria, Rio Grande do Sul, Brazil.
Priscila de Arruda TrindadeLaboratório de Biologia Molecular e Bioinformática Aplicada à Microbiologia Clínica, Programa de Pós-Graduação em Ciências Farmacêuticas, Universidade Federal de Santa Maria, Santa Maria, 97105-900, Brazil. priscila.trindade@ufsm.br.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antimicrobial-resistant Klebsiella pneumoniae is a global threat to healthcare and an important cause of nosocomial infections. Antimicrobial resistance causes prolonged treatment periods, high mortality rates, and economic impacts. Whole Genome Sequencing (WGS) has been used in laboratory diagnosis, but there is limited evidence about pipeline validation to parse generated data. Thus, the present study aimed to validate a bioinformatics pipeline for the identification of antimicrobial resistance genes from carbapenem-resistant K. pneumoniae WGS. Sequences were obtained from a publicly available database, trimmed, de novo assembled, mapped to the K. pneumoniae reference genome, and annotated. Contigs were submitted to different tools for bacterial (Kraken2 and SpeciesFinder) and antimicrobial resistance gene identification (ResFinder and ABRicate). We analyzed 201 K. pneumoniae genomes. In the bacterial identification by Kraken2, all samples were correctly identified, and in SpeciesFinder, 92.54% were correctly identified as K. pneumoniae, 6.96% erroneously as Pseudomonas aeruginosa, and 0.5% erroneously as Citrobacter freundii. ResFinder found a greater number of antimicrobial resistance genes than ABRicate; however, many were identified more than once in the same sample. All tools presented 100% repeatability and reproducibility and > 75% performance in other metrics. Kraken2 was more assertive in recognizing bacterial species, and SpeciesFinder may need improvements.

Indexed as

Carbapenem-Resistant EnterobacteriaceaeKlebsiella pneumoniaeBenchmarkingCarbapenemsReproducibility of ResultsCarbapenems

Identifiers

PMID37709838
PMCPMC10502106

What OpenQuestion holds

Textmetadata
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.