Evidence map›Paper›PMID 33564967›Full record

SynthesisWorld journal of microbiology & biotechnology2021

Systematic Review and Meta-analysis: Salmonella spp. prevalence in vegetables and fruits.

Daniel Corredor-García, Santiago García-Pinilla, Carla María Blanco-Lizarazo

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in World journal of microbiology & biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Assessing the Prevalence and Potential Risks ofFoods (Basel, Switzerland) · 2023
    Article
  4. 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

3 authors.

Daniel Corredor-GarcíaFood Engineering Program, Engineering Faculty, Food Engineering Research Group, Fundación Universitaria Agraria de Colombia, Calle 170#54 a-10,, Bogotá, D.C, Colombia.
Santiago García-PinillaFood Engineering Program, Engineering Faculty, Food Engineering Research Group, Fundación Universitaria Agraria de Colombia, Calle 170#54 a-10,, Bogotá, D.C, Colombia.ORCID http://orcid.org/0000-0003-4158-8560
Carla María Blanco-LizarazoFood Engineering Program, Engineering Faculty, Food Engineering Research Group, Fundación Universitaria Agraria de Colombia, Calle 170#54 a-10,, Bogotá, D.C, Colombia. blanco.olga@uniagraria.edu.co.ORCID http://orcid.org/0000-0002-6463-3056

Funding

Uniagraria PI190032
6 · The paper itself

Abstract

In this study, a systematic review and a meta-analysis were conducted to analyse recent worldwide information about the prevalence of Salmonella spp. in vegetables and fruits to estimate the effect of the different processes such as washing, cutting or disinfection, and place of sampling. A systematic search was conducted for articles from 2014 to 2020 published to date regarding prevalence of Salmonella spp. in vegetables and fruits, without excluding material by location, or author. It was possible to determine eight categories for vegetables and fruits in comparison with the meta-analysis which showed five categories due to data availability. Results showed prevalence for Salmonella spp. of 0.1%, 0.2%, 13.7%, 0.1%, and 0% for fruits, leafy vegetables, mixed vegetables related to ready-to-eat salads (RTE), tubercles, and tomatoes, respectively. Moreover, categories such as fruits, tubercles, and tomatoes as associated with different types of preparations and places of sampling (Retail stores, fresh products wholesale, street markets, distribution centers, farms, and processing plants) did not present a significant combined effect on the prevalence of Salmonella spp. Likewise, leafy, and mixed vegetables showed differences associated with a type of processing, where leafy fresh unprocessed vegetables had a significant positive effect on the prevalence of the pathogen regarding the RTE products. These findings may be useful for the construction of a quantitative model of risk assessment as a means to characterize the differences among the sort of vegetable, fruit, type of processing, and place of sampling.

Indexed as

Food MicrobiologySalmonellaColony Count, MicrobialDatabases, FactualFood ContaminationFruitPrevalenceVegetablesFruitsMetanalysisPrevalenceSalmonella spp.Vegetables

Identifiers

What OpenQuestion holds

Textmetadata
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.