Evidence map›Paper›PMID 34041492›Full record

ReviewAdvances in pharmacological and pharmaceutical sciences2021

MALDI-TOF Mass Spectroscopy Applications in Clinical Microbiology.

Maryam Alizadeh, Leila Yousefi, Farzaneh Pakdel, Reza Ghotaslou, Mohammad Ahangarzadeh Rezaee, Ehsaneh Khodadadi, Mahin Ahangar Oskouei, Mohammad Hossein Soroush Barhaghi, Hossein Samadi Kafil

Abstract readReview
In one paragraph

Review in Advances in pharmacological and pharmaceutical sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Proteomics in the Diagnosis of Viral and Pathogenic Infections.Advances in experimental medicine and biology · 2026
    Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Molecular Identification of Meningitis/Septicemia Due toDiagnostics (Basel, Switzerland) · 2025
    Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

9 authors.

Maryam AlizadehStudent Research Committee, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran.
Leila YousefiResearch Center for Pharmaceutical Nanotechnology, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran.
Farzaneh PakdelResearch Center for Pharmaceutical Nanotechnology, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran.
Reza GhotaslouImmunology Research Center, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran.ORCID https://orcid.org/0000-0003-4762-3558
Mohammad Ahangarzadeh RezaeeImmunology Research Center, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran.
Ehsaneh KhodadadiDrug Applied Research Center, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran.ORCID https://orcid.org/0000-0002-7617-3093
Mahin Ahangar OskoueiStem Cell Research Center, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran.
Mohammad Hossein Soroush BarhaghiPharmaceutical Analysis Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Hossein Samadi KafilDrug Applied Research Center, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran.ORCID https://orcid.org/0000-0001-6026-8795

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is a range of proteomics methods to spot and analyze bacterial protein contents such as liquid chromatography-mass spectrometry (LC-MS), two-dimensional gel electrophoresis, and matrix-assisted laser desorption/ionization mass spectrometry (MALDI-TOF MS), which give comprehensive information about the microorganisms that may be helpful within the diagnosis and coverings of infections. Microorganism identification by mass spectrometry is predicted on identifying a characteristic spectrum of every species so matched with an outsized database within the instrument. MALDI-TOF MS is one of the diagnostic methods, which is a straightforward, quick, and precise technique, and is employed in microbial diagnostic laboratories these days and may replace other diagnostic methods. This method identifies various microorganisms such as bacteria, fungi, parasites, and viruses, which supply comprehensive information. One of the MALDI-TOF MS's crucial applications is bacteriology, which helps identify bacterial species, identify toxins, and study bacterial antibiotic resistance. By knowing these cases, we will act more effectively against bacterial infections.

Identifiers

PMID34041492
PMCPMC8121603

What Socratic 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 Socratic graph.