Evidence map›Paper›PMID 33687510›Full record

ArticleCurrent microbiology2021

MALDI-TOF MS Overcomes Misidentification of the Uncommon Human Pathogen Candida famata by Routine Phenotypic Identification Methods.

Doaa Ghaith, Mai M Zafer, Thoraya Hosny, May AbdElfattah

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Article in Current microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.8field-weighted citation impact, top 31% 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

0 citing papers in PubMed, 7 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 3 institutions in 1 country.

Doaa GhaithClinical and Chemical Pathology Department, Faculty of Medicine, Cairo University, Cairo, Egypt.ORCID http://orcid.org/0000-0002-0846-063X
Mai M ZaferDepartment of Microbiology and Immunology, Faculty of Pharmacy, Ahram Canadian University, 4th Industrial Zone, Banks Complex, 6Th of October, Cairo, Egypt. mai_zafer@hotmail.com.ORCID http://orcid.org/0000-0002-4507-376X
Thoraya HosnyClinical and Chemical Pathology Department, Faculty of Medicine, Zagazig University, Sharkia, Egypt.
May AbdElfattahClinical and Chemical Pathology Department, Faculty of Medicine, Cairo University, Cairo, Egypt.ORCID http://orcid.org/0000-0003-2567-0572
Cairo University · EGAhram Canadian University · EGZagazig University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Candida famata has been associated with the identifiable Candida infections that takes place in human and the identification error of this species possibly will result in misinterpretation of antifungal susceptibility and improper diagnosis; which will have a major effect on the prognosis and therapy of patients. Our objective is to correctly identify Candida spp. collected from patients at the intensive care units, New Cairo University teaching hospital in Cairo-Egypt using matrix-assisted laser desorption/ionization time of flight mass spectrometry (MALDI-TOF MS). Hundred clinically isolated yeast strains were identified using API 20C AUX obtained from patients receiving care at intensive care units. ATB FUNGUS 3 strips were used to detect the minimum inhibitory concentration. Thirty-three non duplicate strains identified as C. famata were subjected to re-identification by MALDI-TOF MS. Our results revealed that isolates were initially identified as C. famata 33%, C. tropicalis 15%, C. albicans 12% and C. parapsillosis 10% using the phenotypic techniques. MALDI-TOF MS analyses results showed that the 33 C. famata isolates are C. tropicalis (n = 29), Trichosporon asahii (n = 2), C. parapsilosis (n = 1), and Aeromonas sobria (n = 1). Antifungal resistance was low in the Candida species, except for reduced susceptibility to itraconazole among C. krusei strains. This report shows that misidentification of C. famata is frequent when using conventional phenotypic methods of identification which result in challenges in treating fungal infections. MALDI-TOF MS is an accurate convenient substitute to classical approaches for fungal identification. In general, antifungal multidrug resistance is uncommon in our studied Candida species and yeast isolates.

Indexed as

CandidaAeromonasBasidiomycotaEgyptHumansSpectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization

Identifiers

PMID33687510
OpenAlexW3135520900

What OpenQuestion holds

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Registered trials

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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.