Evidence map›Paper›PMID 32085758›Full record

ArticleBMC veterinary research2020

Risk-based scoring and genetic identification for anisakids in frozen fish products from Atlantic FAO areas.

Giorgio Smaldone, Elvira Abollo, Raffaele Marrone, Cristian E M Bernardi, Claudia Chirollo, Aniello Anastasio, Santiago P Del Hierro

Open access · goldAbstract read
In one paragraph

Article in BMC veterinary research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.1field-weighted citation impact, top 14% 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

9 citing papers in PubMed, 19 citations in OpenAlex.

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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 5 institutions in 2 countries.

Giorgio SmaldoneDepartment of Agricultural Sciences, University of Naples, Federico II, via Università 100, 80055, Naples, Portici (NA), Italy.
Elvira AbolloCentro Tecnológico del Mar - Fundación CETMAR, C/Eduardo Cabello s/n, 36208, (Pontevedra), Vigo, Spain.
Raffaele MarroneDepartment of Veterinary Medicine and Animal Production, Unit of Food Hygiene, University of Naples, Federico II, via Delpino 1, 80137, Naples, Italy. raffaele.marrone@gmail.com.ORCID http://orcid.org/0000-0002-2888-5846
Cristian E M BernardiDepartment of Veterinary Science and Technologies for Food Safety, Laboratory of Food Inspection, Università degli Studi di Milano, Via A. Grasselli, 7-20137, Milano, Italy.
Claudia ChirolloDepartment of Veterinary Medicine and Animal Production, Unit of Food Hygiene, University of Naples, Federico II, via Delpino 1, 80137, Naples, Italy.
Aniello AnastasioCentro di Riferimento Regionale per la Sicurezza Sanitaria del Pescato CRiSSaP, Naples, Campania Region, Italy.
Santiago P Del HierroEcobiomar - Instituto de Investigaciones Marinas de Vigo - CSIC - C/ Eduardo Cabello 6, 36208, (Pontevedra),, Vigo, Spain.
Regione Campania · ITUniversity of Naples Federico II · ITCentro Tecnológico del Mar · ESInstituto de Investigacións Mariñas · ESUniversity of Milan · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe presence of Anisakis larvae in fish represents a major public health concern. Effective risk management procedures should be applied to prevent heavily infected products from reaching the market. The aim of the study is to provide preliminary data on parasite exposure and risk classification in frozen fish products by applying a risk categorization scheme (site, abundance, density and epidemiology - SADE) and Fish Parasite Rating (FPR) method. Fish and cephalopods samples (N = 771) from 5 different FAO Atlantic areas were examined and categorized after an accurate visual inspection and a chloro-peptic digestion.

resultsIn 25 out of 33 fish species parasite larvae were found. 10897 anisakids larvae were collected and identified to genus level. Molva dypterygia, Conger conger, Zeus faber and Aphanopus carbo were shown to be the most highly infected species. SADE and FPR scores were 1 and poor, respectively, for the referred species, because of the disseminated Anisakis infection and commercial rejection.

conclusionSADE/FPR method showed high specificity and accuracy. The information provided in this work could be used in early warning systems for the detection of parasites in fishery products and might help fishing industries in establishing management strategies for infected stocks in terms of cost saving decisions.

Indexed as

AnimalsAnisakiasisAnisakisAtlantic OceanCephalopodaFish DiseasesFishesFish ProductsFood ParasitologyLarvaPolymerase Chain ReactionAnisakisfish inspectionfood safetyrisk ranking toolzoonotic risk

Identifiers

PMID32085758
PMCPMC7033913
OpenAlexW3009177044

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.