Evidence map›Paper›PMID 33045283›Full record

ArticleJournal of virological methods2020

A combined approach of MALDI-TOF mass spectrometry and multivariate analysis as a potential tool for the detection of SARS-CoV-2 virus in nasopharyngeal swabs.

María Florencia Rocca, Jonathan Cristian Zintgraff, María Elena Dattero, Leonardo Silva Santos, Martín Ledesma, Carlos Vay, Mónica Prieto, Estefanía Benedetti, Martín Avaro, Mara Russo and 2 more

Open access · greenAbstract read
In one paragraph

Article in Journal of virological methods, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 10% 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

34 citing papers in PubMed, 1 synthesis or guideline pooled it, 72 citations in OpenAlex.

  1. Pooled it
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  10. ExploringJournal of mass spectrometry and advances in the clinical lab · 2023
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  14. Advances in rapid detection of SARS-CoV-2 by mass spectrometry.Trends in analytical chemistry : TRAC · 2022
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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

12 authors at 5 institutions in 2 countries.

María Florencia RoccaInstituto Nacional de Enfermedades Infecciosas (INEI) - Administración Nacional de Laboratorios e Institutos de Salud (ANLIS) "Dr. Carlos G. Malbrán", Ciudad Autónoma de Buenos Aires, Argentina; Red Nacional de Espectrometría de Masas aplicada a la Microbiología Clínica (ReNaEM Argentina), Argentina. Electronic address: mfrocca@anlis.gob.ar.
Jonathan Cristian ZintgraffInstituto Nacional de Enfermedades Infecciosas (INEI) - Administración Nacional de Laboratorios e Institutos de Salud (ANLIS) "Dr. Carlos G. Malbrán", Ciudad Autónoma de Buenos Aires, Argentina; Red Nacional de Espectrometría de Masas aplicada a la Microbiología Clínica (ReNaEM Argentina), Argentina.
María Elena DatteroServicio de Virosis respiratorias, Centro Nacional de Influenza de OMS, Laboratorio Nacional de Referencia de Enfermedades Respiratorias Virales del Ministerio de Salud, Departamento de Virología, Instituto Nacional de Enfermedades Infecciosas (INEI) -Administración Nacional de Laboratorios e Institutos de Salud (ANLIS) "Dr. Carlos G. Malbrán", Ciudad Autónoma de Buenos Aires, Argentina.
Leonardo Silva SantosInstituto de Química de Recursos Naturales, Universidad de Talca, Talca 3460000, Chile.
Martín LedesmaRed Nacional de Espectrometría de Masas aplicada a la Microbiología Clínica (ReNaEM Argentina), Argentina; Laboratorio de Bacteriología, Departamento de Bioquímica Clínica, Hospital de Clínicas José de San Martín, Facultad de Farmacia y Bioquímica, Universidad de Buenos Aires, Ciudad Autónoma de Buenos Aires, Argentina; CONICET, Consejo Nacional de Investigaciones Científicas y Técnicas, Argentina.
Carlos VayRed Nacional de Espectrometría de Masas aplicada a la Microbiología Clínica (ReNaEM Argentina), Argentina; Laboratorio de Bacteriología, Departamento de Bioquímica Clínica, Hospital de Clínicas José de San Martín, Facultad de Farmacia y Bioquímica, Universidad de Buenos Aires, Ciudad Autónoma de Buenos Aires, Argentina.
Mónica PrietoInstituto Nacional de Enfermedades Infecciosas (INEI) - Administración Nacional de Laboratorios e Institutos de Salud (ANLIS) "Dr. Carlos G. Malbrán", Ciudad Autónoma de Buenos Aires, Argentina; Red Nacional de Espectrometría de Masas aplicada a la Microbiología Clínica (ReNaEM Argentina), Argentina.
Estefanía BenedettiServicio de Virosis respiratorias, Centro Nacional de Influenza de OMS, Laboratorio Nacional de Referencia de Enfermedades Respiratorias Virales del Ministerio de Salud, Departamento de Virología, Instituto Nacional de Enfermedades Infecciosas (INEI) -Administración Nacional de Laboratorios e Institutos de Salud (ANLIS) "Dr. Carlos G. Malbrán", Ciudad Autónoma de Buenos Aires, Argentina.
Martín AvaroServicio de Virosis respiratorias, Centro Nacional de Influenza de OMS, Laboratorio Nacional de Referencia de Enfermedades Respiratorias Virales del Ministerio de Salud, Departamento de Virología, Instituto Nacional de Enfermedades Infecciosas (INEI) -Administración Nacional de Laboratorios e Institutos de Salud (ANLIS) "Dr. Carlos G. Malbrán", Ciudad Autónoma de Buenos Aires, Argentina.
Mara RussoServicio de Virosis respiratorias, Centro Nacional de Influenza de OMS, Laboratorio Nacional de Referencia de Enfermedades Respiratorias Virales del Ministerio de Salud, Departamento de Virología, Instituto Nacional de Enfermedades Infecciosas (INEI) -Administración Nacional de Laboratorios e Institutos de Salud (ANLIS) "Dr. Carlos G. Malbrán", Ciudad Autónoma de Buenos Aires, Argentina.
Fabiane Manke NachtigallInstituto de Ciencias Químicas Aplicadas, Universidad Autónoma de Chile, Talca 3467987, Chile.
Elsa BaumeisterServicio de Virosis respiratorias, Centro Nacional de Influenza de OMS, Laboratorio Nacional de Referencia de Enfermedades Respiratorias Virales del Ministerio de Salud, Departamento de Virología, Instituto Nacional de Enfermedades Infecciosas (INEI) -Administración Nacional de Laboratorios e Institutos de Salud (ANLIS) "Dr. Carlos G. Malbrán", Ciudad Autónoma de Buenos Aires, Argentina.
Ministerio de Salud · ARAdministración Nacional de Laboratorios e Institutos de Salud · ARUniversidad de Buenos Aires · ARUniversidad Autónoma de Chile · CLUniversity of Talca · CL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronavirus disease 2019, known as COVID-19, is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The early, sensitive and specific detection of SARS-CoV-2 virus is widely recognized as the critical point in responding to the ongoing outbreak. Currently, the diagnosis is based on molecular real time RT-PCR techniques, although their implementation is being threatened due to the extraordinary demand for supplies worldwide. That is why the development of alternative and / or complementary tests becomes so relevant. Here, we exploit the potential of mass spectrometry technology combined with machine learning algorithms, for the detection of COVID-19 positive and negative protein profiles directly from nasopharyngeal swabs samples. According to the preliminary results obtained, accuracy = 67.66 %, sensitivity = 61.76 %, specificity = 71.72 %, and although these parameters still need to be improved to be used as a screening technique, mass spectrometry-based methods coupled with multivariate analysis showed that it is an interesting tool that deserves to be explored as a complementary diagnostic approach due to the low cost and fast performance. However, further steps, such as the analysis of a large number of samples, should be taken in consideration to determine the applicability of the method developed.

Indexed as

BetacoronavirusClinical Laboratory TechniquesCoronavirus InfectionsCOVID-19COVID-19 TestingCOVID-19 VaccinesHumansMachine LearningMass ScreeningMultivariate AnalysisNasopharynxPandemicsPneumonia, ViralReal-Time Polymerase Chain ReactionSARS-CoV-2Sensitivity and SpecificityCOVID-19 VaccinesCOVID-19Machine learningMALDI-TOFMass spectrometrySARS-CoV-2

Identifiers

PMID33045283
PMCPMC7546642
OpenAlexW3092552393

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.