Evidence map›Paper›PMID 36792879›Full record

ArticleAdvances in experimental medicine and biology2023

Vibrio parahaemolyticus Epidemiology and Pathogenesis: Novel Insights on an Emerging Foodborne Pathogen.

Ronnie G Gavilan, Junior Caro-Castro, Carlos J Blondel, Jaime Martinez-Urtaza

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Article in Advances in experimental medicine and biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. The Toxin GeneMicroorganisms · 2025
    Article
  5. Article
  6. Article
  7. Public health aspects ofEFSA journal. European Food Safety Authority · 2024
    Article
  8. Article
  9. 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

4 authors.

Ronnie G GavilanInstituto Nacional de Salud, Lima, Peru. rgavilan@ins.gob.pe.
Junior Caro-CastroInstituto Nacional de Salud, Lima, Peru.
Carlos J BlondelInstituto de Ciencias Biomédicas, Facultad de Medicina y Facultad de Ciencias de la Vida, Universidad Andrés Bello, Santiago, Chile.
Jaime Martinez-UrtazaDepartment of Genetics and Microbiology, Faculty of Biosciences, Universitat Autonoma de Barcelona, Barcelona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The epidemiological dynamics of V. parahaemolyticus´ infections have been characterized by the abrupt appearance of outbreaks in remote areas where these diseases had not been previously detected, without knowing the routes of entry of the pathogens in the new area. However, there are recent studies that show the link between the appearance of epidemic outbreaks of Vibrio and environmental factors such as oceanic transport of warm waters, which has provided a possible mechanism for the dispersion of Vibrio diseases globally. Despite this evidence, there is little information on the possible routes of entry and transport of infectious agents from endemic countries to the entire world. In this sense, the recent advances in genomic sequencing tools are making it possible to infer possible biogeographical patterns of diverse pathogens with relevance in public health like V. parahaemolyticus. In this chapter, we will address several general aspects about V. parahaemolyticus, including their microbiological and genetic detection, main virulence factors, and the epidemiology of genotypes involved in foodborne outbreaks globally.

Indexed as

Vibrio parahaemolyticusDisease OutbreaksPublic HealthVirulence FactorsVirulence FactorsFoodborne diseaseGenomic islandsMolecular epidemiologyVibrio parahaemolyticus

Identifiers

PMID36792879

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.