Evidence map›Paper›PMID 31632925›Full record

ArticleItalian journal of food safety2019

Assessment of sampling methods about level of mercury in fish.

Cesare Ciccarelli, Melina Leinoudi, Angela Marisa Semeraro, Vittoria Di Trani, Giuseppe Angelozzi, Elena Ciccarelli, Ivan Corti

Abstract read
In one paragraph

Article in Italian journal of food safety, 2019. 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. 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

7 authors.

Cesare CiccarelliRegional Public Health Service Corporation of Marche - Extended Area N° 5, San Benedetto del Tronto, Italy.
Melina LeinoudiPrivate Chemist, Reading, UK.
Angela Marisa SemeraroRegional Public Health Service Corporation of Marche - Extended Area N° 5, San Benedetto del Tronto, Italy.
Vittoria Di TraniRegional Public Health Service Corporation of Marche - Extended Area N° 5, San Benedetto del Tronto, Italy.
Giuseppe AngelozziRegional Public Health Service Corporation of Marche - Extended Area N° 5, San Benedetto del Tronto, Italy.
Elena CiccarelliPrivate Biologist, Valencia, Spain.
Ivan CortiPrivate Veterinarian, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mercury (Hg) seriously affects some sensitive subgroups of population and the detection of Hg content in fish and fishery products is one of the most important activities aimed at controlling their safety. In fact, Regulation (EC) No 1881/2006 set maximum levels for certain contaminants in foodstuffs and Regulation (EC) No 333/2007 laid down the methods of sampling and analysis for their control in foodstuffs. As Hg content highly varies among different fish species depending on a variety of factors and even among members of the same population, sampling methods play a crucial role in the accuracy, precision and statistical significance of Hg determination. By the use of an analysis method independent probabilistic model, based on the axioms of Kolmogorov's probability theory, this paper aims to assess the relationship between sampling methods set by Regulation (EC) No 333/2007 and the probability to detect compliant or non-compliant outcomes of Hg in fish.

Indexed as

FishMercuryProbabilistic modelSampling methodStatistical assessment

Identifiers

PMID31632925
PMCPMC6784588

What OpenQuestion holds

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Registered trials

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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.