Evidence map›Paper›PMID 28678810›Full record

ArticlePloS one2017

Characterization of clinical Vibrio parahaemolyticus strains in Zhoushan, China, from 2013 to 2014.

Hongling Wang, Xiaoyang Tang, Yi-Cheng Su, Jiabei Chen, Jianbo Yan

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
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  5. Article
  6. Antimicrobial and Genetic Profiles ofFrontiers in microbiology · 2021
    Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Characterization of PathogenicFrontiers in microbiology · 2017
    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

5 authors.

Hongling WangKey Laboratory of Health Risk Factors for Seafood of Zhejiang Province, Zhoushan, Zhejiang, China.
Xiaoyang TangFood Safety Research Center, Central Research Institute, MasterKong Holding, Shanghai, China.
Yi-Cheng SuSeafood Research and Education Center, Oregon State University, Astoria, Oregon, United States of America.
Jiabei ChenKey Laboratory of Health Risk Factors for Seafood of Zhejiang Province, Zhoushan, Zhejiang, China.
Jianbo YanKey Laboratory of Health Risk Factors for Seafood of Zhejiang Province, Zhoushan, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vibrio parahaemolyticus is recognized as major cause of foodborne illness of global public health concern. This study collected 107 strains of V. parahaemolyticus during active surveillance of diarrheal diseases in hospitals in Zhoushan during 2013 to 2014 and investigated their serotypes, virulence genes (tdh, trh, and orf8), antimicrobial resistance, and genotypes. The dominant serotypes of the 107 clinical strains were O3:K6, O4:K8, and O4:KUT with 87.9% and 3.7% of the strains carrying the virulence genes tdh and trh, respectively. Molecular typing by pulsed-field gel electrophoresis indicated divergence among the clinical strains. Most isolates were sensitive to the common antimicrobial agents used against the Vibrio species except ampicillin. We conclude that continuous surveillance of V. parahaemolyticus in diarrhea patients is a public health priority and is useful for conducting risk assessment of foodborne illnesses caused by V. parahaemolyticus.

Indexed as

ChinaCluster AnalysisCross InfectionDiarrheaDrug Resistance, MicrobialElectrophoresis, Gel, Pulsed-FieldFoodborne DiseasesGenetic VariationGenotypeHost-Pathogen InteractionsHumansMicrobial Sensitivity TestsSerotypingSpecies SpecificityVibrio InfectionsVibrio parahaemolyticus

Identifiers

PMID28678810
PMCPMC5498046

What OpenQuestion holds

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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.