Evidence map›Paper›PMID 35155660›Full record

ArticleFrontiers in veterinary science2022

MALDI-TOF Mass Spectrometry as a Rapid Screening Alternative for Non-tuberculous Mycobacterial Species Identification in the Veterinary Laboratory.

Víctor Lorente-Leal, Emmanouil Liandris, Javier Bezos, Marta Pérez-Sancho, Beatriz Romero, Lucía de Juan

Open access · goldAbstract read
In one paragraph

Article in Frontiers in veterinary science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.6field-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

7 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Review
  3. Immunoassay-mass spectrometry to identifyFrontiers in cellular and infection microbiology · 2025
    Article
  4. Comparative evaluation of MALDI-ToF mass spectrometry and Sanger sequencing of theFrontiers in cellular and infection microbiology · 2025
    Article
  5. Review
  6. Rifampicin resistantSAGE open medicine · 2023
    Article
  7. 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

6 authors at 1 institution in 1 country.

Víctor Lorente-LealVISAVET Health Surveillance Center, Universidad Complutense de Madrid, Madrid, Spain.
Emmanouil LiandrisVISAVET Health Surveillance Center, Universidad Complutense de Madrid, Madrid, Spain.
Javier BezosVISAVET Health Surveillance Center, Universidad Complutense de Madrid, Madrid, Spain.
Marta Pérez-SanchoVISAVET Health Surveillance Center, Universidad Complutense de Madrid, Madrid, Spain.
Beatriz RomeroVISAVET Health Surveillance Center, Universidad Complutense de Madrid, Madrid, Spain.
Lucía de JuanVISAVET Health Surveillance Center, Universidad Complutense de Madrid, Madrid, Spain.
Universidad Complutense de Madrid · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-tuberculous mycobacteria (NTM) are difficult to identify by biochemical and genetic methods due to their microbiological properties and complex taxonomy. The development of more efficient and rapid methods for species identification in the veterinary microbiological laboratory is, therefore, of great importance. Although MALDI-TOF Mass Spectrometry (MS) has become a promising tool for the identification of NTM species in human clinical practise, information regarding its performance on veterinary isolates is scarce. This study assesses the capacity of MALDI-TOF MS to identify NTM isolates (

Indexed as

identificationMALDI-TOF MSmycobacterianon-tuberculous mycobacteria (NTM)Sanger sequencingscreeningveterinary samples

Identifiers

PMID35155660
PMCPMC8831857
OpenAlexW4210648878

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.