Evidence map›Paper›PMID 41754443›Full record

ArticlePathogens (Basel, Switzerland)2026

Integrating MALDI-TOF Mass Spectrometry and Machine Learning for Rapid and Clinically Relevant Differentiation of MRSA and MSSA.

Abdurrahman Gülmez, Ayşe Nur Ceylan, Selda Kömeç, Beyza Öncel, Yasin Sağlam

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Pathogens (Basel, Switzerland), 2026. 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
–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

0 citing papers in PubMed.

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

5 authors.

Abdurrahman GülmezMedical Microbiology Laboratory, Aydin Ataturk State Hospital, Aydin 09020, Türkiye.ORCID 0000-0003-3953-5267
Ayşe Nur CeylanMedical Microbiology Laboratory, Istanbul Basaksehir Cam and Sakura City Hospital, Istanbul 34480, Türkiye.ORCID 0000-0002-0049-6873
Selda KömeçMedical Microbiology Laboratory, Istanbul Basaksehir Cam and Sakura City Hospital, Istanbul 34480, Türkiye.ORCID 0000-0002-6726-0048
Beyza ÖncelMedical Microbiology Laboratory, Istanbul Basaksehir Cam and Sakura City Hospital, Istanbul 34480, Türkiye.
Yasin SağlamVezirkopru District Directorate of Health, Samsun 55900, Türkiye.ORCID 0000-0002-6798-5399

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) is routinely used in clinical microbiology for rapid species identification; however, its potential to support early antimicrobial decision-making remains under active investigation. Rapid discrimination of methicillin-resistant

Indexed as

Machine LearningMethicillin-Resistant Staphylococcus aureusSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationStaphylococcal InfectionsStaphylococcus aureusAnti-Bacterial AgentsBacterial Typing TechniquesClassification AlgorithmsHumansMicrobial Sensitivity TestsAnti-Bacterial Agentsantimicrobial drug resistancemachine learningmatrix assisted laser desorption ionization mass spectrometrymethicillin-resistant Staphylococcus aureusStaphylococcus aureus

Identifiers

PMID41754443
PMCPMC12942793

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.