Evidence map›Paper›PMID 42549875›Full record

ArticleMicrobiology spectrum2026

Evaluation of an adapted relative growth method by MALDI-TOF MS for rapid determination of the susceptibility of

Yulong Liu, Niqi Xie, Weiwei Hu, Xiaoqin Zeng, Siying Sun, Lijuan Pan, Hongyou Chen, Xuelian Peng, Chunyan Yang, Baoru Han and 1 more

Abstract readEvaluation Study
In one paragraph

Article in Microbiology spectrum, 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

11 authors.

Yulong Liu *Department of Laboratory Medicine, The Affiliated Dazu's Hospital of Chongqing Medical University, Chongqing, China.
Niqi Xie *Department of Laboratory Medicine, The Affiliated Dazu's Hospital of Chongqing Medical University, Chongqing, China.
Weiwei Hu *Department of Laboratory Medicine, The Affiliated Dazu's Hospital of Chongqing Medical University, Chongqing, China.
Xiaoqin ZengDepartment of Laboratory Medicine, The Affiliated Dazu's Hospital of Chongqing Medical University, Chongqing, China.
Siying SunDepartment of Laboratory Medicine, The Affiliated Dazu's Hospital of Chongqing Medical University, Chongqing, China.
Lijuan PanDepartment of Laboratory Medicine, The Affiliated Dazu's Hospital of Chongqing Medical University, Chongqing, China.
Hongyou ChenDepartment of Laboratory Medicine, The Affiliated Dazu's Hospital of Chongqing Medical University, Chongqing, China.
Xuelian PengDepartment of Laboratory Medicine, The Affiliated Dazu's Hospital of Chongqing Medical University, Chongqing, China.
Chunyan YangDepartment of Laboratory Medicine, The Affiliated Dazu's Hospital of Chongqing Medical University, Chongqing, China.
Baoru HanDepartment of Laboratory Medicine, The Affiliated Dazu's Hospital of Chongqing Medical University, Chongqing, China.ORCID 0000-0002-7867-5396
Jin LiDepartment of Laboratory Medicine, The Affiliated Dazu's Hospital of Chongqing Medical University, Chongqing, China.ORCID 0009-0007-4243-8923

Funding

Dazu District Major Joint Science and Health Project DZKJ2024JSYJ-KWXM1001Medical Image Intelligent Analysis and Application Innovation Team of Medical University China ZSK0102Science and Technology Research Project of Chongqing Municipal Education Commission KJQN202500457
6 · The paper itself

Abstract

Antimicrobial resistance (AMR) poses a critical global health threat. Conventional antimicrobial susceptibility testing (AST) requires 12-24 h, delaying targeted treatment. Although rapid AST approaches exist, their reliance on static measurements and single-colony analysis limits diagnostic accuracy by overlooking intrasample heterogeneity, which can produce misleading results when resistant subpopulations are present. Here, we present a novel analytical framework that integrates dynamic MALDI-TOF MS spectral analysis, the robust dynamic relative growth (RBD-RG) algorithm, and machine learning. This framework decodes the mass spectral evolution of

Indexed as

Anti-Bacterial AgentsEscherichia coliLevofloxacinSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationAlgorithmsDrug Resistance, BacterialEscherichia coli InfectionsHumansMachine LearningMicrobial Sensitivity TestsAnti-Bacterial AgentsLevofloxacinadapted relative growth methodAI MedLab MSantimicrobial susceptibility testingEscherichia colilevofloxacinMALDI-TOF MS

Identifiers

PMID42549875
PMCPMC13532333

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.