Evidence map›Paper›PMID 41597623›Full record

ArticleMicroorganisms2026

Non-Targeted Screening Method for Detecting Temporal Shifts in Spectral Patterns of Methicillin-Resistant

Kapil Nichani, Steffen Uhlig, Victor San Martin, Karina Hettwer, Kirstin Frost, Ulrike Steinacker, Heike Kaspar, Petra Gowik, Sabine Kemmlein

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Microorganisms, 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

9 authors.

Kapil NichaniQuoData GmbH, 01309 Dresden, Germany.
Steffen UhligQuoData GmbH, 14195 Berlin, Germany.
Victor San MartinQuoData GmbH, 01309 Dresden, Germany.
Karina HettwerQuoData GmbH, 01309 Dresden, Germany.
Kirstin FrostQuoData GmbH, 01309 Dresden, Germany.
Ulrike SteinackerBundesamt für Verbraucherschutz und Lebensmittelsicherheit, 13347 Berlin, Germany.
Heike KasparBundesamt für Verbraucherschutz und Lebensmittelsicherheit, 13347 Berlin, Germany.
Petra GowikBundesamt für Verbraucherschutz und Lebensmittelsicherheit, 13347 Berlin, Germany.
Sabine KemmleinBundesamt für Verbraucherschutz und Lebensmittelsicherheit, 13347 Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-targeted methods (NTMs) using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) show promise in bacterial resistance detection, yet temporal variations in spectral features pose significant challenges. These proteomic patterns, which characterize bacterial phenotypes and pathological functions, may vary over time due to bacterial adaptation, virulence, or resistance mechanisms, resulting in large prediction uncertainties and potentially degrading NTM performance. We present a comprehensive screening method to detect temporal changes in MALDI-TOF spectral patterns, demonstrated using methicillin-resistant and -susceptible

Indexed as

convolutional neural networksdata shiftmethod performanceMRSAnon-targeted methodsscreening method

Identifiers

PMID41597623
PMCPMC12844359

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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.