Evidence map›Paper›PMID 41845207›Full record

ArticleBMC microbiology2026

Co-occurrence of bla

David Fernández-Salvatierra, Carmen María González-Domenech, Gabriel Morey-León, Juan Carlos Fernández-Cadena

Abstract read
In one paragraph

Article in BMC microbiology, 2026. 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

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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. Review
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.

David Fernández-SalvatierraDepartment of Microbiology, School of Medicine, University of Malaga, Boulevard Louis Pasteur, Malaga, 29010, Spain.
Carmen María González-DomenechDepartment of Microbiology, School of Medicine, University of Malaga, Boulevard Louis Pasteur, Malaga, 29010, Spain. cmgodo@uma.es.
Gabriel Morey-LeónEcotec University, Km. 13.5 Samborondón, Samborondón, EC092302, Ecuador. gmorey@ecotec.edu.ec.
Juan Carlos Fernández-CadenaOmics Sciences Laboratory, Faculty of Health Sciences, Espíritu Santo University, Samborondón, Ecuador.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAntimicrobial resistance (AMR) is a growing threat to public health, especially in low- and middle-income countries. This study aimed to identify multidrug-resistant (MDR) pathogens in clinical samples from a tertiary hospital in Ecuador, evaluate their phenotypic antibiotic susceptibility, and compare these findings with genotypic resistance patterns.

methodsClinical samples were collected from an Ecuadorian reference hospital from September 2022 to September 2023. Bacterial identification and susceptibility testing were performed using the VITEK-2 system. After genomic DNA extraction, key resistance genes (blaKPC, blaNDM, blaVIM, blaOXA−48, blaCTX−M and blaIMP−1) were identified via multiplex PCR with TaqMan probes. Phenotypic and genotypic data were integrated using bioinformatics tools.

resultsThe 216 bacterial isolates analyzed exhibited resistance phenotypes, primarily to carbapenems and third-generation cephalosporins. Klebsiella pneumoniae was the most prevalent resistant species (59.7%), followed by Pseudomonas aeruginosa (11.6%) and Serratia marcescens (8.3%). However, 20.8% of the isolates phenotypically resistant to carbapenems did not carry any of the targeted carbapenemase genes. The blaKPC gene was most common (70.8%), followed by blaNDM (9.7%) and blaVIM (2.8%). Ten isolates harbored gene combinations, including, to our knowledge, the first reported co-occurrence of blaKPC and blaOXA−48 in K. pneumoniae in Ecuador.Neither blaIMP−1 nor blaCTX−M was detected in any of the evaluated isolates.

conclusionsThere is strong concordance between carbapenemase genes and the MDR phenotype, some of which are newly reported in Ecuador. However, the absence of gene detection in some resistant isolates suggests the presence of alternative resistance mechanisms. Integrating phenotypic and molecular methods that target locally prevalent resistance genes improves the accuracy of AMR detection and supports better diagnosis and infection control in hospital settings.

Indexed as

Bacterial Proteinsbeta-LactamasesDrug Resistance, Multiple, BacterialKlebsiella InfectionsKlebsiella pneumoniaeAnti-Bacterial AgentsCarbapenemsEcuadorGenotypeHumansMicrobial Sensitivity TestsPhenotypePseudomonas aeruginosaTertiary Care CentersThird Generation CephalosporinsAnti-Bacterial AgentsBacterial Proteinsbeta-LactamasesCarbapenemsThird Generation CephalosporinsAntimicrobial resistanceCarbapenemasesEcuadorKlebsiella pneumoniaeMolecular diagnosis

Identifiers

PMID41845207
PMCPMC13112706

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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.