Evidence map›Paper›PMID 38993837›Full record

ArticleFrontiers in molecular biosciences2024

Automated classification of group B

Lianfen Huang, Kankan Gao, Huamin Zhong, Yongqiang Xie, Bingshao Liang, Wenjing Ji, Haiying Liu

Abstract read
In one paragraph

Article in Frontiers in molecular biosciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
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

7 authors.

Lianfen HuangDepartment of Laboratory Medicine, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Kankan GaoDepartment of Laboratory Medicine, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Huamin ZhongDepartment of Laboratory Medicine, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Yongqiang XieDepartment of Laboratory Medicine, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Bingshao LiangDepartment of Laboratory Medicine, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Wenjing JiDepartment of Pharmacy Administration and Clinical Pharmacy, School of Pharmacy, Xi'an Jiaotong University, Xi'an, China.
Haiying LiuClinical Laboratory, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To evaluate the performance of Matrix-Assisted Laser Desorption/Ionization Time-of Flight Mass Spectra (MALDI-TOF MS) for automated classification of GBS (Group B Methods: MALDI-TOF MS of 167 GBS strains belonging to five major CCs (CC10, CC12, CC17, CC19, CC23) were grouped into a reference set ( Results: The PPV for the GBS CCs subtyping MSP-M was greater than the subtyping MSP for CC10 (99.21% vs. 93.65%), but similar for CC12 (79.55% vs. 81.06%), CC17 (93.55% vs. 94.09%), and CC19 (92.59% vs. 95.37%), and lower for CC23 (66.67% vs. 83.33%). Conclusion: MALDI-TOF MS could be a promising tool for the automated categorization of GBS into 5 CCs by both CCs subtyping MSP and MSP-M, GBS CCs subtyping MSP-M is preferred for the accurate prediction of CCs with highly discriminative peaks.

Indexed as

classificationclassification clean version group B Streptococcusclassification group B Streptococcusclone complexes (CCs)group B streptococcusmain spectrum (MSP)matrix-assisted laser desorption ionization time of flight mass spectrometry (MALDI-TOF MS)

Identifiers

PMID38993837
PMCPMC11236597

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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.