Evidence map›Paper›PMID 37861326›Full record

ArticleApplied and environmental microbiology2023

Promising potential of machine learning-assisted MALDI-TOF MS as an effective detector for

Zhuohao Wang, Yu Zhou, Genglin Guo, Quan Li, Yanfei Yu, Wei Zhang

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Applied and environmental microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 20% 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
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

6 authors at 3 institutions in 1 country.

Zhuohao WangCollege of Veterinary Medicine, Nanjing Agricultural University , Nanjing, China.ORCID 0000-0002-3184-6944
Yu ZhouCollege of Veterinary Medicine, Nanjing Agricultural University , Nanjing, China.
Genglin GuoCollege of Veterinary Medicine, Nanjing Agricultural University , Nanjing, China.
Quan LiCollege of Veterinary Medicine, Yangzhou University , Yangzhou, China.
Yanfei YuKey Laboratory of Veterinary Biological Engineering and Technology of Ministry of Agriculture, Institute of Veterinary Medicine, Jiangsu Academy of Agricultural Sciences , Nanjing, China.ORCID 0000-0003-3523-4774
Wei ZhangCollege of Veterinary Medicine, Nanjing Agricultural University , Nanjing, China.ORCID 0000-0002-3575-6225
Nanjing Agricultural University · CNJiangsu Academy of Agricultural Sciences · CNYangzhou University · CN

Funding

Guidance Foundation of the Sanya Institute of Nanjing Agricultural University NAUSY-MS12Project of Sanya Yazhou Bay Science and Technology City SCKJ-JYRC-2022-80
6 · The paper itself

Abstract

importanceTo the best of our knowledge, this study reveals a strong correlation between mass spectra pattern and virulence phenotype among

Indexed as

Streptococcal InfectionsStreptococcus suisHumansMachine LearningSerogroupSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationVirulencemachine learningMALDI-TOF MSserotypingStreptococcus suissubtypingvirulence

Identifiers

PMID37861326
PMCPMC10686076
OpenAlexW4387798976

What OpenQuestion 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 OpenQuestion graph.