Evidence map›Paper›PMID 35563967›Full record

ArticleFoods (Basel, Switzerland)2022

The "Hygiene Package": Analysis of Fraud Rates in Italy in the Period before and after Its Entry into Force.

Annalisa Previti, Domenico Vicari, Francesca Conte, Michela Pugliese, Valeria Gargano, Angela Alibrandi, Agata Zirilli, Annamaria Passantino

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

8 authors.

Annalisa PrevitiDepartment of Veterinary Sciences, University of Messina, 98122 Messina, Italy.
Domenico VicariIstituto Zooprofilattico della Sicilia "A.Mirri", 90129 Palermo, Italy.ORCID 0000-0002-8902-6383
Francesca ConteDepartment of Veterinary Sciences, University of Messina, 98122 Messina, Italy.ORCID 0000-0001-5020-9070
Michela PuglieseDepartment of Veterinary Sciences, University of Messina, 98122 Messina, Italy.
Valeria GarganoIstituto Zooprofilattico della Sicilia "A.Mirri", 90129 Palermo, Italy.ORCID 0000-0001-9684-7473
Angela AlibrandiUnit of Statistical and Mathematical Sciences, Department of Economics, University of Messina, 98122 Messina, Italy.ORCID 0000-0001-6695-151X
Agata ZirilliUnit of Statistical and Mathematical Sciences, Department of Economics, University of Messina, 98122 Messina, Italy.ORCID 0000-0002-2950-8946
Annamaria PassantinoDepartment of Veterinary Sciences, University of Messina, 98122 Messina, Italy.ORCID 0000-0003-1701-3636

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In violation of EU legislation, fraudulent activities in agri-food chains seek to make economic profits at the expense of consumers. Food frauds (FFs) often constitute a public health risk as well as a risk to animal and plant health, animal welfare and the environment. To analyze FFs in Italy during 1997-2020 with the aim of gaining observational insights into the effectiveness of the legislation in force and consequently of inspection activities, FFs were determined from official food inspections carried out by the Central Inspectorate of Quality Protection and Fraud Repression of Agri-food Products in 1997-2020. Inspected sectors were wine, oils and fats, milk and dairy products, fruit and vegetables, meat, eggs, honey, feeds and supplements, and seeds. Data show that the inspection activities have significantly improved in terms of sampling and fraud detection. However, a higher incidence of fraud involving the meat sector was observed. The obtained results demonstrate that there has not been a clear change of direction after the so-called "hygiene package" (food hygiene rules in the EU) came into force. Thus, more effective measures are needed to manage risk as well as new analytical solutions to increase the deterrence against meat adulteration and the rapid detection of fraud.

Indexed as

adulterationfood fraudinspection activitiesItalylegislation

Identifiers

PMID35563967
PMCPMC9103962

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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.