Evidence map›Paper›PMID 39906802›Full record

ArticleHeliyon2025

Analysis of the efficacy of MALDI-TOF MS technology in identifying microorganisms in cancer patients and oncology hospital environment.

Grażyna Czeszewska-Rosiak, Iwona Adamczyk, Agnieszka Ludwiczak, Piotr Fijałkowski, Paweł Fijałkowski, Magdalena Twarużek, Michał Złoch, Dorota Gabryś, Wioletta Miśta, Andrzej Tretyn and 1 more

Abstract read
In one paragraph

Article in Heliyon, 2025. 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
–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

7 citing papers in PubMed.

  1. Identification ofMicroorganisms · 2026
    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

11 authors.

Grażyna Czeszewska-RosiakCentre for Modern Interdisciplinary Technologies, Nicolaus Copernicus University in Torun, Wilenska 4 Str., Torun 87-100, Poland.
Iwona AdamczykCentre for Modern Interdisciplinary Technologies, Nicolaus Copernicus University in Torun, Wilenska 4 Str., Torun 87-100, Poland.
Agnieszka LudwiczakCentre for Modern Interdisciplinary Technologies, Nicolaus Copernicus University in Torun, Wilenska 4 Str., Torun 87-100, Poland.
Piotr FijałkowskiCentre for Modern Interdisciplinary Technologies, Nicolaus Copernicus University in Torun, Wilenska 4 Str., Torun 87-100, Poland.
Paweł FijałkowskiCentre for Modern Interdisciplinary Technologies, Nicolaus Copernicus University in Torun, Wilenska 4 Str., Torun 87-100, Poland.
Magdalena TwarużekDepartment of Physiology and Toxicology, Kazimierz Wielki University, Chodkiewicza 30 Str., Bydgoszcz, Poland.
Michał ZłochCentre for Modern Interdisciplinary Technologies, Nicolaus Copernicus University in Torun, Wilenska 4 Str., Torun 87-100, Poland.
Dorota GabryśRadiotherapy Department, Maria Sklodowska-Curie National Research Institute of Oncology, Wybrzeze Armii Krajowej 15 Str., Poland.
Wioletta MiśtaRadiotherapy Department, Maria Sklodowska-Curie National Research Institute of Oncology, Wybrzeze Armii Krajowej 15 Str., Poland.
Andrzej TretynCentre for Modern Interdisciplinary Technologies, Nicolaus Copernicus University in Torun, Wilenska 4 Str., Torun 87-100, Poland.
Paweł Piotr PomastowskiCentre for Modern Interdisciplinary Technologies, Nicolaus Copernicus University in Torun, Wilenska 4 Str., Torun 87-100, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid diagnostics of microbes in hospitals are crucial for promptly identifying infections, enabling timely and appropriate treatment. The study was conducted to evaluate the effectiveness of the matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI TOF MS) technology in the microbial profiling of hospital environments and patient samples. The objective was to determine the microbial landscape in swabs collected from hospitalized patients and their immediate environments, using MALDI to compare the capabilities of two systems: BRUKER and ZYBIO. The analysis resulted in 1012 microbial identifications from patient samples (N = 81), encompassing 96 species, and 1496 identifications from hospital surface samples (N = 108), covering 124 species. Predominantly identified microorganisms in patients' samples included

Indexed as

Healthcare environmentsMALDI-TOF MSMicroorganisms' identificationOpportunistic bacteriaPathogen detection

Identifiers

PMID39906802
PMCPMC11791110

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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.