Evidence map›Paper›PMID 28545528›Full record

ArticleBMC microbiology2017

Comparison of biomarker based Matrix Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry (MALDI-TOF MS) and conventional methods in the identification of clinically relevant bacteria and yeast.

Ali Kassim, Valentin Pflüger, Zul Premji, Claudia Daubenberger, Gunturu Revathi

Open access · goldAbstract read
In one paragraph

Article in BMC microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
3.4field-weighted citation impact, top 8% 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

29 citing papers in PubMed, 57 citations in OpenAlex.

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  14. Proteome-Based Serotyping of the Food-Borne PathogensMolecules (Basel, Switzerland) · 2022
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  16. Vaginal Infections' Etiologies in South-Eastern Gabon - An Overview.International journal of women's health · 2022
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  17. Article
  18. Review
  19. Performance of MALDI-TOF Mass Spectrometry in the Philippines.Tropical medicine and infectious disease · 2021
    Article
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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

5 authors at 2 institutions in 2 countries.

Ali KassimAga Khan University Hospital, Nairobi, Kenya. alliassimo@gmail.com.ORCID 0000-0003-2104-6553
Valentin PflügerMabritec AG, Riehen, Switzerland.
Zul PremjiAga Khan University Hospital, Nairobi, Kenya.
Claudia DaubenbergerSwiss Tropical and Public Health Institute, Basel, Switzerland.
Gunturu RevathiAga Khan University Hospital, Nairobi, Kenya.
Aga Khan University Hospital Nairobi · KESwiss Tropical and Public Health Institute · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMALDI-TOF MS is an analytical method that has recently become integral in the identification of microorganisms in clinical laboratories. It relies on databases that majorly employ pattern recognition or fingerprinting. Biomarker based databases have also been developed and there is optimism that these may be superior to pattern recognition based databases. This study compared the performance of ribosomal biomarker based MALDI-TOF MS and conventional methods in the identification of selected bacteria and yeast.

methodsThe study was a cross sectional study identifying clinically relevant bacteria and yeast isolated from varied clinical specimens submitted to a clinical laboratory. The identification of bacteria using conventional Vitek 2™ automated system, serotyping and MALDI-TOF MS was performed as per standard operating procedures. Comparison of sensitivities were then carried out using Pearson Chi-Square test and p-value of <0.05 was considered statistically significant. Secondary outcomes analyzed included the major and minor error rates.

resultsOf the 383 isolates MALDI-TOF MS and conventional methods identified 97.6 and 95.7% (p = 0.231) to the genus level and 97.4 and 88.0% (p = 0.000) to the species level respectively. Biomarker based MALDI-TOF MS was significantly superior to Vitek 2™ in the identification of Gram negative bacteria and Gram positive bacteria to the species level. For the Gram positive bacteria, significant difference was observed in the identification of Coagulase negative Staphylococci (p = 0.000) and Enterococcus (p = 0.008). Significant difference was also observed between serotyping and MALDI-TOF MS (p = 0.005) and this was attributed to the lack of identification of Shigella species by MALDI-TOF MS. There was no significant difference observed in the identification of yeast however some species of Candida were unidentified by MALDI-TOF MS.

conclusionBiomarker based MALDI-TOF MS had good performance in a clinical laboratory setting with high sensitivities in the identification of clinically relevant microorganisms.

Indexed as

BacteriaBacterial InfectionsBiomarkersCandidiasisChi-Square DistributionClinical Laboratory TechniquesCross-Sectional StudiesHumansSensitivity and SpecificitySerotypingSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationYeastsBiomarkersMALDI-TOF MSPAPMID™SARAMIS™VITEK 2™

Identifiers

PMID28545528
PMCPMC5445374
OpenAlexW2617105026

What OpenQuestion holds

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LicenceCC BY
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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.