Evidence map›Paper›PMID 26016846›Full record

ArticleMycopathologia2015

Usefulness of MALDI-TOF Mass Spectrometry for Routine Identification of Candida Species in a Resource-Poor Setting.

Doudou Sow, Bécaye Fall, Magatte Ndiaye, Bissoume Sambe Ba, Khadime Sylla, Roger Tine, Aminata Collé Lô, Annie Abiola, Boubacar Wade, Thérèse Dieng and 5 more

Abstract readComparative StudyEvaluation Study
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In one paragraph

Article in Mycopathologia, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.7field-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

15 citing papers in PubMed, 34 citations in OpenAlex.

  1. Microorganisms · 2026
    Review
  2. Article
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  6. Mass spectrometry in research laboratories and clinical diagnostic: a new era in medical mycology.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2022
    Review
  7. Performance of MALDI-TOF Mass Spectrometry in the Philippines.Tropical medicine and infectious disease · 2021
    Article
  8. Review
  9. Article
  10. Article
  11. Antifungal Susceptibility ofIranian journal of public health · 2018
    Article
  12. Article
  13. Article
  14. Article
  15. An Update onFrontiers in microbiology · 2017
    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

15 authors at 3 institutions in 2 countries.

Doudou SowDepartment of Parasitology, Faculty of Medicine, Université Cheikh Anta DIOP, Dakar, Senegal, doudsow@yahoo.fr.
Bécaye Fall
Magatte Ndiaye
Bissoume Sambe Ba
Khadime Sylla
Roger Tine
Aminata Collé Lô
Annie Abiola
Boubacar Wade
Thérèse Dieng
Yémou Dieng
Jean Louis Ndiaye
Christophe Hennequin
Oumar Gaye
Babacar Faye
Cheikh Anta Diop University · SNHôpital Principal de Dakar · SNHôpital Saint-Antoine · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIdentification of fungal clinical isolates is essential for therapeutic management. In resource-limited settings, identification mostly relies on biochemical tests whose sensitivity and specificity are known to be insufficient for identification of closely related or newly described species. MALDI-TOF has been shown in favored countries to be a reliable and powerful tool for microorganism identification, including yeasts. The aim of this study was to compare MALDI-TOF with routine identification procedures in a resource-poor context.

methodsA total of 734 clinical specimens (502 vaginal swabs, 147 oral swabs, 61 bronchoalveolar lavage fluids and 24 stool samples) have been tested in the mycology unit of Fann Hospital, Dakar, Senegal. Strains isolated from culture were identified by both conventional phenotypic methods (germ tube formation and biochemical panels) and MALDI-TOF Saramis/VITEK MS, bioMérieux, France. In addition to comparing the final identification, we determined the time of obtaining the results and the cost for both approaches.

resultsOverall, 218 (29.7 %) samples were positive for Candida. MALDI-TOF MS enabled the identification of 214 of the 218 strains isolated (98.1 %) at species level. Phenotypic approach yielded identification for 208 strains (95.4 %). Congruence between the tests was observed for 203 isolates. A discrepancy was observed for one isolate identified as Candida krusei with the phenotypic approach and Candida tropicalis with the MALDI-TOF. In addition, ten isolates identified at genus level by phenotypic methods were identified as C. glabrata (n = 8), C. tropicalis (n = 1) and C. parapsilosis (n = 1) by MALDI-TOF. The turnaround time for identification was <1 h using the MALDI-TOF compared to our routine procedures (48 h). The overall cost (reagents + expendables) per isolate was at 1.35<euro> for the MALDI-TOF MS.

conclusionMALDI-TOF clearly outperformed the diagnosis capacities of phenotypic methods by reducing the delay of results and giving accurate identification at species level. Moreover, this approach appears to be cost-effective and should be implemented especially in resource-poor context.

Indexed as

CandidaCandidiasisHumansMicrobiological TechniquesMycological Typing TechniquesSenegalSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationTime Factors

Identifiers

PMID26016846
OpenAlexW425152303

What OpenQuestion holds

Textmetadata
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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.