Evidence map›Paper›PMID 37790626›Full record

ArticlePeerJ2023

Serotypes, virulence factors and multilocus sequence typing of

Ching-Fen Wu, Chia-Yu Hsu, Chi-Chung Chou, Chao-Min Wang, Szu-Wei Huang, Hung-Chih Kuo

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

11 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Pathotyping and molecular serotyping of clinical isolates of Glaesserella parasuis in Taiwan.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2025
    Article
  3. Baicalin RelievesBiomolecules · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Epidemiology and pathogenicity ofFrontiers in microbiology · 2025
    Article
  8. Article
  9. Virulence and Antimicrobial Resistance Characterization ofAntibiotics (Basel, Switzerland) · 2024
    Article
  10. Article
  11. Detection of antimicrobial resistance inFrontiers in microbiology · 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

6 authors at 2 institutions in 1 country.

Ching-Fen WuDepartment of Veterinary Medicine, National Chiayi University, Chiayi City, Taiwan.
Chia-Yu HsuDepartment of Veterinary Medicine, National Chiayi University, Chiayi City, Taiwan.
Chi-Chung ChouDepartment of Veterinary Medicine, National Chung Hsing University, Taichung, Taichung, Taiwan.
Chao-Min WangDepartment of Veterinary Medicine, National Chiayi University, Chiayi City, Taiwan.
Szu-Wei HuangDepartment of Veterinary Medicine, National Chiayi University, Chiayi City, Taiwan.
Hung-Chih KuoDepartment of Veterinary Medicine, National Chiayi University, Chiayi City, Taiwan.
National Chiayi University · TWNational Chung Hsing University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Methods: A total of 276 Results: Serotype 4 (33.3%) and 5 (21.4%) were the most prevalent, followed by nontypable isolates (15.9%), serotype 13 (9.4%), 12 (6.5%), 14 (6.2%), 7 (3.3%), 1 (1.8%), 9 (1.1%), 11 (0.7%) and 6 (0.4%). Nine out of 10 putative virulence factors showed high positive rates, including group 1

Indexed as

Anti-Infective AgentsHaemophilus InfectionsHaemophilus parasuisSwine DiseasesAnimalsHumansMultilocus Sequence TypingSerogroupSwineTaiwanVirulence FactorsAnti-Infective AgentsVirulence FactorsAntimicrobial susceptibility testingGlaesserella parasuisMolecular serotypingMultilocus sequence typingVirulence factors

Identifiers

PMID37790626
PMCPMC10544350
OpenAlexW4387172000

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.