Evidence map›Paper›PMID 31212713›Full record

ArticleFoods (Basel, Switzerland)2019

An Original Methodology for the Selection of Biomarkers of Tenderness in Five Different Muscles.

Marie-Pierre Ellies-Oury, Hadrien Lorenzo, Christophe Denoyelle, Jérôme Saracco, Brigitte Picard

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 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

5 authors.

Marie-Pierre Ellies-OuryUniversité Clermont Auvergne, INRA, VetAgro Sup, UMR Herbivores, F-63122 Saint-Genès-Champanelle, France. marie-pierre.ellies@inra.fr.
Hadrien LorenzoUniviversité de Bordeaux, Inria BSO, Inserm U1219 Bordeaux Population Health Research Center, SISTM Team, 33800 Bordeaux, France. Hadrien.Lorenzo@u-bordeaux.fr.
Christophe DenoyelleService Qualite des Carcasses et des Viandes, Institut de l'Elevage, 69007 Lyon, France. Christophe.Denoyelle@idele.fr.
Jérôme SaraccoInria BSO, CQFD Team, CNRS UMR5251 Institut Mathématiques de Bordeaux, ENSC Bordeaux INP, F-33400 Talence, France. jerome.saracco@math.u-bordeaux1.fr.
Brigitte PicardUniversité Clermont Auvergne, INRA, VetAgro Sup, UMR Herbivores, F-63122 Saint-Genès-Champanelle, France. brigitte.picard@inra.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For several years, studies conducted for discovering tenderness biomarkers have proposed a list of 20 candidates. The aim of the present work was to develop an innovative methodology to select the most predictive among this list. The relative abundance of the proteins was evaluated on five muscles of 10 Holstein cows:

Indexed as

biomarkercalpainh2afxmeatpredictive modeltenderness

Identifiers

PMID31212713
PMCPMC6617152

What OpenQuestion holds

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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.