Evidence map›Paper›PMID 38975576›Full record

ArticleJournal of animal science and technology2024

A reduction in dietary crude protein with amino acid balance has no negative effects in pigs.

Junyoung Mun, Habeeb Tajudeen, Abdolreza Hosseindoust, Sanghun Ha, Serin Park, Jinsoo Kim

Abstract read
In one paragraph

Article in Journal of animal science and technology, 2024. 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
–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

1 citing paper in PubMed.

  1. Review
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

6 authors.

Junyoung MunDepartment of Animal Industry Convergence, Kangwon National University, Chuncheon 24341, Korea.ORCID https://orcid.org/0000-0002-3075-7157
Habeeb TajudeenDepartment of Animal Industry Convergence, Kangwon National University, Chuncheon 24341, Korea.ORCID https://orcid.org/0000-0002-5623-3175
Abdolreza HosseindoustDepartment of Animal Industry Convergence, Kangwon National University, Chuncheon 24341, Korea.ORCID https://orcid.org/0000-0001-9191-0613
Sanghun HaDepartment of Animal Industry Convergence, Kangwon National University, Chuncheon 24341, Korea.ORCID https://orcid.org/0000-0003-3779-1144
Serin ParkDepartment of Animal Industry Convergence, Kangwon National University, Chuncheon 24341, Korea.ORCID https://orcid.org/0009-0007-1413-5853
Jinsoo KimDepartment of Animal Industry Convergence, Kangwon National University, Chuncheon 24341, Korea.ORCID 0000-0002-9518-7917

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this experiment was to evaluate the effects of low crude protein (CP) level with essential amino acids (AA) addition on growth performance, nutrient digestibility, microbiota, and volatile fatty acid composition in growing pigs. A total of 160 growing pigs (Landrace × Yorkshire × Duroc [LYD]; average initial body weight 16.68 ± 0.12 kg) were randomly allotted to one of the four treatments on the basis of initial body weight. A randomized complete block design was used to conduct this experiment in the Research Center of Animal Life Sciences at Kangwon National University. There were ten pigs/replicate with four replicates in each treatment. The treatments include; CON (Control, 17.2% dietary CP level), low protein (LP)-1.10 (15.7% dietary CP level + 1.10% lysine level), LP-1.15 (15.7% dietary CP level + 1.15% lysine level), LP1.2 (15.7% dietary CP level + 1.20% lysine level). The pigs fed CON and LP-1.2 diet showed greater final body weight than that of LP-1.1 diet (

Indexed as

Amino acidCrude proteinGrowth performancePigVolatile fatty acid

Identifiers

PMID38975576
PMCPMC11222109

What OpenQuestion holds

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LicenceCC BY-NC
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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.