Evidence map›Paper›PMID 38111645›Full record

ArticleFrontiers in microbiology2023

Rapid discrimination of

Kexin Liu, Yajie Wang, Minlei Zhao, Gaogao Xue, Ailan Wang, Weijie Wang, Lida Xu, Jianguo Chen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

  1. Pooled it
  2. Automated classification of group BFrontiers in molecular biosciences · 2024
    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

8 authors.

Kexin Liu *College of Life Science, North China University of Science and Technology, Tangshan, China.
Yajie Wang *Department of Clinical Laboratory, Beijing Ditan Hospital, Capital Medical, Beijing, China.
Minlei Zhao *Beijing YuGen Pharmaceutical Co., Ltd., Beijing, China.
Gaogao XueBeijing Hotgen Biotechnology Inc., Beijing, China.
Ailan WangBeijing Hotgen Biotechnology Inc., Beijing, China.
Weijie WangCollege of Life Science, North China University of Science and Technology, Tangshan, China.
Lida XuBeijing Hotgen Biotechnology Inc., Beijing, China.
Jianguo ChenBeijing YuGen Pharmaceutical Co., Ltd., Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although MALDI-TOF mass spectrometry (MS) is widely known as a rapid and cost-effective reference method for identifying microorganisms, its commercial databases face limitations in accurately distinguishing specific subspecies of

Indexed as

Bifidobacterium longum subspeciesB. infantisB. longumidentificationmachine learningMALDI-TOF MS

Identifiers

PMID38111645
PMCPMC10726008

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.