Evidence map›Paper›PMID 33562291›Full record

ReviewFoods (Basel, Switzerland)2021

From Cheese-Making to Consumption: Exploring the Microbial Safety of Cheeses through Predictive Microbiology Models.

Arícia Possas, Olga María Bonilla-Luque, Antonio Valero

Open access · goldAbstract readReview
In one paragraph

Review in Foods (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
9.0field-weighted citation impact, top 1% 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

27 citing papers in PubMed, 82 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Q4MRATools: Quantitative tools to microbial risk assessment.EFSA journal. European Food Safety Authority · 2024
    Article
  7. Review
  8. Raw milk cheeses from Beira Baixa, Portugal-A contributive study for the microbiological hygiene and safety assessment.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2024
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Foods (Basel, Switzerland) · 2022
    Article
  18. Article
  19. Article
  20. 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 at 1 institution in 1 country.

Arícia PossasDepartment of Food Science and Technology, University of Córdoba, Agri-Food Campus of International Excellence ceiA3, Campus Rabanales s/n, Crta. Madrid-Cádiz km 396A, 14014 Córdoba, Spain.
Olga María Bonilla-LuqueDepartment of Food Science and Technology, University of Córdoba, Agri-Food Campus of International Excellence ceiA3, Campus Rabanales s/n, Crta. Madrid-Cádiz km 396A, 14014 Córdoba, Spain.
Antonio ValeroDepartment of Food Science and Technology, University of Córdoba, Agri-Food Campus of International Excellence ceiA3, Campus Rabanales s/n, Crta. Madrid-Cádiz km 396A, 14014 Córdoba, Spain.
University of Córdoba · ES

Funding

Spanish Ministry of Science and Innovation PRIMA/0001/2018to EU PRIMA program and the International Joint Programming PCI2019-103453
6 · The paper itself

Abstract

Cheeses are traditional products widely consumed throughout the world that have been frequently implicated in foodborne outbreaks. Predictive microbiology models are relevant tools to estimate microbial behavior in these products. The objective of this study was to conduct a review on the available modeling approaches developed in cheeses, and to identify the main microbial targets of concern and the factors affecting microbial behavior in these products.

Indexed as

dairy productsfermented foodsfoodborne pathogensfood safetyoutbreakspredictive mathematical modeling

Identifiers

PMID33562291
PMCPMC7915996
OpenAlexW3128827343

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.