Evidence map›Paper›PMID 39682903›Full record

ArticleFoods (Basel, Switzerland)2024

A Quantitative Risk Assessment Model for

Ursula Gonzales-Barron, Régis Pouillot, Taran Skjerdal, Elena Carrasco, Paula Teixeira, Matthew J Stasiewicz, Akio Hasegawa, Juliana De Oliveira Mota, Laurent Guillier, Vasco Cadavez and 1 more

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Quantitative Risk Assessment ofFoods (Basel, Switzerland) · 2025
    Article
  2. 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

11 authors.

Ursula Gonzales-BarronCentro de Investigação de Montanha (CIMO), Instituto Politécnico de Bragança, Campus de Santa Apolónia, 5300-253 Bragança, Portugal.ORCID 0000-0002-8462-9775
Régis PouillotIndependent Researcher, 18 rue Mohamed Al Ghazi, Rabat 10170, Morocco.ORCID 0000-0002-6107-5212
Taran SkjerdalNorwegian Veterinary Institute, Section of Bacteriology-Food and GMO, Postbox Sentrum 750, N-0106 Oslo, Norway.
Elena CarrascoDepartamento de Ciencia y Tecnología de los Alimentos, UIC Zoonosis y Enfermedades Emergentes (ENZOEM), Campus de Excelencia Internacional en Agroalimentación (CeiA3), Universidad de Córdoba, Campus Rabanales, Edificio Darwin-Anexo, E-14071 Córdoba, Spain.
Paula TeixeiraCBQF-Centro de Biotecnologia e Química Fina-Laboratório Associado, Escola Superior de Biotecnologia, Universidade Católica Portuguesa, Rua Diogo Botelho 1327, 4169-005 Porto, Portugal.ORCID 0000-0002-6296-5137
Matthew J StasiewiczDepartment of Food Science and Human Nutrition, University of Illinois at Urbana-Champaign, 905 S Goodwin Ave., Urbana, IL 61801, USA.ORCID 0000-0003-2712-0793
Akio HasegawaNutrition and Food Safety Department, World Health Organization, 1202 Geneva, Switzerland.
Juliana De Oliveira MotaNutrition and Food Safety Department, World Health Organization, 1202 Geneva, Switzerland.
Laurent GuillierRisk Assessment Department, French Agency for Food, Environmental and Occupational Health & Safety (Anses), 14 rue Pierre et Marie Curie, 94701 Maisons-Alfort, France.ORCID 0000-0002-7867-2937
Vasco CadavezCentro de Investigação de Montanha (CIMO), Instituto Politécnico de Bragança, Campus de Santa Apolónia, 5300-253 Bragança, Portugal.ORCID 0000-0002-3077-7414
Moez SanaaNutrition and Food Safety Department, World Health Organization, 1202 Geneva, Switzerland.

Funding

World Health Organization 001
6 · The paper itself

Abstract

This study introduces a quantitative risk assessment (QRA) model aimed at evaluating the risk of invasive listeriosis linked to the consumption of ready-to-eat (RTE) smoked and gravad fish. The QRA model, based on published data, simulates the production process from fish harvest through to consumer intake, specifically focusing on smoked brine-injected, smoked dry-salted, and gravad fish. In a reference scenario, model predictions reveal substantial probabilities of lot and pack contamination at the end of processing (38.7% and 8.14% for smoked brined fish, 34.4% and 6.49% for smoked dry-salted fish, and 52.2% and 11.1% for gravad fish), although the concentrations of

Indexed as

brined fishexposure assessmentgravlaxlisteriosissalted fishsimulation

Identifiers

PMID39682903
PMCPMC11639860

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.