Evidence map›Paper›PMID 33233782›Full record

ReviewFoods (Basel, Switzerland)2020

Critical Analysis of Pork QMRA Focusing on Slaughterhouses: Lessons from the Past and Future Trends.

Ammar Hdaifeh, Tahreem Khalid, Géraldine Boué, Enda Cummins, Sandrine Guillou, Michel Federighi, Vincent Tesson

Open access · goldAbstract readReview
In one paragraph

Review in Foods (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 26% 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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Quantitative risk assessments of Salmonella spp. in domestic pork in China.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2024
    Article
  3. Review
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

7 authors at 2 institutions in 2 countries.

Ammar HdaifehINRAE, Oniris, SECALIM, 44307 Nantes, France.ORCID 0000-0001-8629-1563
Tahreem KhalidINRAE, Oniris, SECALIM, 44307 Nantes, France.ORCID 0000-0001-6116-7259
Géraldine BouéINRAE, Oniris, SECALIM, 44307 Nantes, France.ORCID 0000-0003-3716-8352
Enda CumminsBiosystems and Food Engineering, University College Dublin, Dublin 4 Belfield, Ireland.
Sandrine GuillouINRAE, Oniris, SECALIM, 44307 Nantes, France.ORCID 0000-0002-0607-9229
Michel FederighiINRAE, Oniris, SECALIM, 44307 Nantes, France.ORCID 0000-0002-1108-6490
Vincent TessonINRAE, Oniris, SECALIM, 44307 Nantes, France.ORCID 0000-0002-9199-3508
Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement · FRUniversity College Dublin · IE

Funding

RFI Food For Tomorrow none
6 · The paper itself

Abstract

Foodborne microbial diseases have a significant impact on public health, leading to millions of human illnesses each year worldwide. Pork is one of the most consumed meat in Europe but may also be a major source of pathogens introduced all along the farm-to-fork chain. Several quantitative microbial risk assessment (QMRA) have been developed to assess human health risks associated with pork consumption and to evaluate the efficiency of different risk reduction strategies. The present critical analysis aims to review pork QMRA. An exhaustive search was conducted following the preferred reporting items for systematic reviews and meta-analyses (PRISMA) methodology. It resulted in identification of a collection of 2489 papers including 42 on QMRA, after screening. Among them, a total of 29 studies focused on

Indexed as

food safetymeat chainmeat processingpigQMRAswine

Identifiers

PMID33233782
PMCPMC7699970
OpenAlexW3104483369

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.