Evidence map›Paper›PMID 29703927›Full record

ArticleScientific reports2018

Relationships between digestive efficiency and metabolomic profiles of serum and intestinal contents in chickens.

Stéphane Beauclercq, Lydie Nadal-Desbarats, Christelle Hennequet-Antier, Irène Gabriel, Sophie Tesseraud, Fanny Calenge, Elisabeth Le Bihan-Duval, Sandrine Mignon-Grasteau

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.8field-weighted citation impact, top 7% 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

18 citing papers in PubMed, 30 citations in OpenAlex.

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  3. Animals : an open access journal from MDPI · 2023
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  4. Multi-country metabolic signature discovery for chicken health classification.Metabolomics : Official journal of the Metabolomic Society · 2023
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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

8 authors at 3 institutions in 1 country.

Stéphane BeauclercqBOA, INRA, Université de Tours, 37380, Nouzilly, France.
Lydie Nadal-DesbaratsDépartement d'analyse chimique biologique et médicale, PPF Analyse des systèmes biologiques, Université de Tours, 37032, Tours, France.
Christelle Hennequet-AntierBOA, INRA, Université de Tours, 37380, Nouzilly, France.
Irène GabrielBOA, INRA, Université de Tours, 37380, Nouzilly, France.
Sophie TesseraudBOA, INRA, Université de Tours, 37380, Nouzilly, France.
Fanny CalengeGABI, INRA, AgroParisTech, Université Paris-Saclay, 78352, Jouy-en-Josas, France.
Elisabeth Le Bihan-DuvalBOA, INRA, Université de Tours, 37380, Nouzilly, France.
Sandrine Mignon-GrasteauBOA, INRA, Université de Tours, 37380, Nouzilly, France. sandrine.grasteau@inra.fr.
Université de Tours · FRAgroParisTech · FRBiologie des Oiseaux et Aviculture · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increasing cost of conventional feedstuffs has bolstered interest in genetic selection for digestive efficiency (DE), a component of feed efficiency, assessed by apparent metabolisable energy corrected to zero nitrogen retention (AMEn). However, its measurement is time-consuming and constraining, and its relationship with metabolic efficiency poorly understood. To simplify selection for this trait, we searched for indirect metabolic biomarkers through an analysis of the serum metabolome using nuclear magnetic resonance (

Indexed as

Animal Nutritional Physiological PhenomenaDigestionMetabolomeAnimal FeedAnimalsChickensGastrointestinal ContentsMagnetic Resonance SpectroscopySerum

Identifiers

PMID29703927
PMCPMC5923279
OpenAlexW2806179048

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.