Evidence map›Paper›PMID 35348306›Full record

ArticleVeterinary medicine and science2022

Labelling fish diets with

Mirta Cortés-Quezada, Ana María Parada, Ximena Videla, Juan Antonio Valdés, Sebastián Gonzalez-Catrilelbún, Alexis Aspée, Adriana Nario, Andrea Rivas-Aravena

Open access · goldAbstract read
In one paragraph

Article in Veterinary medicine and science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 44% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Labelling fish diets withVeterinary medicine and science · 2022
    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

8 authors at 4 institutions in 1 country.

Mirta Cortés-QuezadaFacultad de Medicina y Ciencia, Universidad San Sebastián, Providencia, Santiago, Chile.
Ana María ParadaDepartamento de Tecnologías Nucleares, Comisión Chilena de Energía Nuclear, Las Condes, Chile.
Ximena VidelaDepartamento de Tecnologías Nucleares, Comisión Chilena de Energía Nuclear, Las Condes, Chile.
Juan Antonio ValdésFacultad de Ciencias de la Vida, Laboratorio de Biotecnología Molecular, Universidad Andrés Bello, Santiago, Chile.
Sebastián Gonzalez-CatrilelbúnFacultad de Medicina y Ciencia, Universidad San Sebastián, Providencia, Santiago, Chile.
Alexis AspéeFacultad de Química y Biología, Departamento de Ciencias del Ambiente, Universidad de Santiago de Chile, Santiago, Chile.
Adriana NarioDepartamento de Tecnologías Nucleares, Comisión Chilena de Energía Nuclear, Las Condes, Chile.
Andrea Rivas-AravenaFacultad de Medicina y Ciencia, Universidad San Sebastián, Providencia, Santiago, Chile.ORCID 0000-0002-2143-5797
Comisión Chilena de Energía Nuclear · CLSan Sebastián University · CLUniversidad Andrés Bello · CLUniversidad de Santiago de Chile · CL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Feeding represents 50-70% of the cost of production in salmon farming, higher than any other animal farm. The improvement of this percentage is challenging as the food is thrown into the fish tank, there is no quantification of the amount of food that is consumed by the fish. In consequence, it is difficult to adjust the food composition making it more nutritive or promoting food consumption by fish. In this study, to investigate food consumption, bio-distribution and food residues, leucine containing

Indexed as

Animal FeedSalmo salarAnimalsAquacultureDietLeucineNitrogenLeucineNitrogenfeeding in aquaculturefish feedingfood markernitrogen biodistributionoral intake

Identifiers

PMID35348306
PMCPMC9122439
OpenAlexW4221021942

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.