Evidence map›Paper›PMID 38231703›Full record

ArticleFoods (Basel, Switzerland)2023

Maria Pia Fabrile, Sergio Ghidini, Augusta Caligiani, Federico Scali, Maria Olga Varrà, Veronica Lolli, Giovanni Loris Alborali, Adriana Ianieri, Emanuela Zanardi

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Maria Pia FabrileDepartment of Food and Drug, University of Parma, Strada del Taglio, 10, 43126 Parma, Italy.ORCID 0000-0002-0942-9503
Sergio GhidiniDepartment of Food and Drug, University of Parma, Strada del Taglio, 10, 43126 Parma, Italy.ORCID 0000-0002-7351-0381
Augusta CaligianiDepartment of Food and Drug, University of Parma, Strada del Taglio, 10, 43126 Parma, Italy.ORCID 0000-0002-8568-6851
Federico ScaliIstituto Zooprofilattico Sperimentale della Lombardia e dell'Emilia-Romagna, Via A. Bianchi 9, 25124 Brescia, Italy.ORCID 0000-0002-4412-0587
Maria Olga VarràDepartment of Food and Drug, University of Parma, Strada del Taglio, 10, 43126 Parma, Italy.ORCID 0000-0001-9068-0254
Veronica LolliDepartment of Food and Drug, University of Parma, Strada del Taglio, 10, 43126 Parma, Italy.ORCID 0000-0001-8868-3683
Giovanni Loris AlboraliIstituto Zooprofilattico Sperimentale della Lombardia e dell'Emilia-Romagna, Via A. Bianchi 9, 25124 Brescia, Italy.
Adriana IanieriDepartment of Food and Drug, University of Parma, Strada del Taglio, 10, 43126 Parma, Italy.
Emanuela ZanardiDepartment of Food and Drug, University of Parma, Strada del Taglio, 10, 43126 Parma, Italy.ORCID 0000-0002-2253-3647

Funding

Italian Ministry of Health ClassyfarmUniversity of Parma Project "abFREEPIG"University of Parma Project "ONFoods"
6 · The paper itself

Abstract

An untargeted Nuclear Magnetic Resonance (NMR) spectroscopy-based metabolomics approach was applied as a first attempt to explore the metabolome of pigs treated with antibiotics. The final goal was to investigate the possibility of discriminating between antibiotic-treated (TX group) and untreated pigs (CTRL group), with the further perspective of identifying the authentication tools for antibiotic-free pork supply chains. In particular, 41 samples of pig liver were subjected to a biphasic extraction to recover both the polar and the non-polar metabolites, and the

Indexed as

antibiotic-free claimNMRnon-polar metabolitespolar metabolitesporkuntargeted metabolomics

Identifiers

PMID38231703
PMCPMC10706443

What OpenQuestion holds

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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.