Evidence map›Paper›PMID 35154029›Full record

ArticleFrontiers in microbiology2021

Multicenter Performance Evaluation of MALDI-TOF MS for Rapid Detection of Carbapenemase Activity in Enterobacterales: The Future of Networking Data Analysis With Online Software.

Eva Gato, Ahalieyah Anantharajah, Manuel J Arroyo, María José Artacho, Juan de Dios Caballero, Ana Candela, Kateřina Chudějová, Ignacio Pedro Constanso, Cristina Elías, Javier Fernández and 15 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

14 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Rapid prediction of carbapenemases inJournal of clinical microbiology · 2025
    Article
  8. Article
  9. Article
  10. Detection accuracy and clinical applications of DP-TOF mass spectrometry.The Journal of international medical research · 2024
    Article
  11. Article
  12. Review
  13. Rapid Discrimination ofTransboundary and emerging diseases · 2023
    Article
  14. 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

25 authors at 9 institutions in 3 countries.

Eva GatoServicio de Microbiología, Red Española de Investigación en Patología Infecciosa, Instituto de Investigación Biomédica da Coruña, CIBER de Enfermedades Infecciosas (CIBERIFEC), Instituto de Salud Carlos III, Complejo Hospitalario Universitario A Coruña, A Coruña, Spain.
Ahalieyah AnantharajahService de Microbiologie, Cliniques Universitaires Saint-Luc, Brussels, Belgium.
Manuel J ArroyoClover BioSoft, Granada, Spain.
María José ArtachoUnidad de Gestión Clínica de Microbiología, Red Española de Investigación en Patología Infecciosa, Hospital Universitario Reina Sofía, CIBER de Enfermedades Infecciosas (CIBERIFEC), Instituto de Salud Carlos III, Córdoba, Spain.
Juan de Dios CaballeroServicio de Microbiología, Red Española de Investigación en Patología Infecciosa, Hospital Universitario Ramón y Cajal, Instituto Ramón y Cajal de Investigación Sanitaria, CIBER de Enfermedades Infecciosas (CIBERIFEC), Instituto de Salud Carlos III, Madrid, Spain.
Ana CandelaServicio de Microbiología, Hospital General Universitario Gregorio Marañón, Madrid, Spain.
Kateřina ChudějováDepartment of Microbiology, Faculty of Medicine, University Hospital in Pilsen, Charles University, Pilsen, Czechia.
Ignacio Pedro ConstansoServicio de Análisis Clínicos, Complejo Hospitalario Universitario A Coruña, A Coruña, Spain.
Cristina ElíasUnidad de Gestión Clínica de Microbiología, Red Española de Investigación en Patología Infecciosa, Hospital Universitario Reina Sofía, CIBER de Enfermedades Infecciosas (CIBERIFEC), Instituto de Salud Carlos III, Córdoba, Spain.
Javier FernándezServicio de Microbiología, Hospital Universitario Central de Asturias, Instituto de Investigación Sanitaria del Principado de Asturias, Oviedo, Spain.
Jesús JiménezClover BioSoft, Granada, Spain.
Pilar LumbrerasServicio de Microbiología, Hospital Universitario Central de Asturias, Instituto de Investigación Sanitaria del Principado de Asturias, Oviedo, Spain.
Gema MéndezClover BioSoft, Granada, Spain.
Xavier MuletServicio de Microbiología, Hospital Universitario Son Espases, Red Española de Investigación en Patología Infecciosa, CIBER de Enfermedades Infecciosas (CIBERIFEC), Instituto de Salud Carlos III, Palma, Spain.
Patricia Pérez-PalaciosUnidad Clínica de Enfermedades Infecciosas y Microbiología Clínica, CSIC, Red Española de Investigación en Patología Infecciosa, Hospital Universitario Virgen Macarena, Instituto de Biomedicina de Sevilla, CIBER de Enfermedades Infecciosas (CIBERIFEC), Instituto de Salud Carlos III, Universidad de Sevilla, Seville, Spain.
Belén Rodríguez-SánchezServicio de Microbiología, Hospital General Universitario Gregorio Marañón, Madrid, Spain.
Rafael CantónServicio de Microbiología, Red Española de Investigación en Patología Infecciosa, Hospital Universitario Ramón y Cajal, Instituto Ramón y Cajal de Investigación Sanitaria, CIBER de Enfermedades Infecciosas (CIBERIFEC), Instituto de Salud Carlos III, Madrid, Spain.
Jaroslav HrabákDepartment of Microbiology, Faculty of Medicine, University Hospital in Pilsen, Charles University, Pilsen, Czechia.
Luis ManceraClover BioSoft, Granada, Spain.
Luis Martínez-MartínezUnidad de Gestión Clínica de Microbiología, Red Española de Investigación en Patología Infecciosa, Hospital Universitario Reina Sofía, CIBER de Enfermedades Infecciosas (CIBERIFEC), Instituto de Salud Carlos III, Córdoba, Spain.
Antonio OliverServicio de Microbiología, Hospital Universitario Son Espases, Red Española de Investigación en Patología Infecciosa, CIBER de Enfermedades Infecciosas (CIBERIFEC), Instituto de Salud Carlos III, Palma, Spain.
Álvaro PascualUnidad Clínica de Enfermedades Infecciosas y Microbiología Clínica, CSIC, Red Española de Investigación en Patología Infecciosa, Hospital Universitario Virgen Macarena, Instituto de Biomedicina de Sevilla, CIBER de Enfermedades Infecciosas (CIBERIFEC), Instituto de Salud Carlos III, Universidad de Sevilla, Seville, Spain.
Alexia VerrokenService de Microbiologie, Cliniques Universitaires Saint-Luc, Brussels, Belgium.
Germán BouServicio de Microbiología, Red Española de Investigación en Patología Infecciosa, Instituto de Investigación Biomédica da Coruña, CIBER de Enfermedades Infecciosas (CIBERIFEC), Instituto de Salud Carlos III, Complejo Hospitalario Universitario A Coruña, A Coruña, Spain.
Marina OviañoServicio de Microbiología, Red Española de Investigación en Patología Infecciosa, Instituto de Investigación Biomédica da Coruña, CIBER de Enfermedades Infecciosas (CIBERIFEC), Instituto de Salud Carlos III, Complejo Hospitalario Universitario A Coruña, A Coruña, Spain.
Centro de Investigación Biomédica en Red · ESInstituto de Salud Carlos III · ESRed Espanola de Investigacion en Patologia Infecciosa · ESCharles University · CZCliniques Universitaires Saint-Luc · BEHospital General Universitario Gregorio Marañón · ESInstituto de Investigación Sanitaria del Principado de Asturias · ESComplexo Hospitalario Universitario A Coruña · ESHospital Universitario Virgen Macarena · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we evaluate the performance of matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) for rapid detection of carbapenemase activity in Enterobacterales in clinical microbiology laboratories during a multicenter networking validation study. The study was divided into three different stages: "software design," "intercenter evaluation," and "clinical validation." First, a standardized procedure with an online software for data analysis was designed. Carbapenem resistance was detected by measuring imipenem hydrolysis and the results were automatically interpreted using the Clover MS data analysis software (Clover BioSoft, Spain). Second, a series of 74 genotypically characterized Enterobacterales (46 carbapenemase-producers and 28 non carbapenemase-producers) were analyzed in 8 international centers to ensure the reproducibility of the method. Finally, the methodology was evaluated independently in all centers during a 2-month period and results were compared with the reference standard for carbapenemase detection used in each center. The overall agreement rate relative to the reference method for carbapenemase resistance detection in clinical samples was 92.5%. The sensitivity was 93.9% and the specificity, 100%. Results were obtained within 60 min and accuracy ranged from 83.3 to 100% among the different centers. Further, our results demonstrate that MALDI-TOF MS is an outstanding tool for rapid detection of carbapenemase activity in Enterobacterales in clinical microbiology laboratories. The use of a simple in-house procedure with online software allows routine screening of carbapenemases in diagnostics, thereby facilitating early and appropriate antimicrobial therapy.

Indexed as

carbapenemases enzymesclinical microbiologyimipenemMALDI-TOF MSresistance detection

Identifiers

PMID35154029
PMCPMC8834885
OpenAlexW4210264209

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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.