Evidence map›Paper›PMID 39595221›Full record

ArticleAnimals : an open access journal from MDPI2024

Effects of Dietary Fiber and Copper on the Performance and Gut Microbiota of Finishing Pigs.

Bo Liu, Jun Yan, Houxu Hao, Feng Yong, Lianyu Yang, Wenyan Yang, Dongsheng Che

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. A review for nutritional value ofFrontiers in veterinary science · 2026
    Review
  3. Article
  4. 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

7 authors.

Bo LiuCollege of Animal Science and Technology, Jilin Agricultural University, Changchun 130118, China.
Jun YanCollege of Animal Science and Technology, Jilin Agricultural University, Changchun 130118, China.
Houxu HaoCollege of Animal Science and Technology, Jilin Agricultural University, Changchun 130118, China.
Feng YongCollege of Animal Science and Technology, Jilin Agricultural University, Changchun 130118, China.
Lianyu YangCollege of Animal Science and Technology, Jilin Agricultural University, Changchun 130118, China.
Wenyan YangCollege of Animal Science and Technology, Jilin Agricultural University, Changchun 130118, China.
Dongsheng CheCollege of Animal Science and Technology, Jilin Agricultural University, Changchun 130118, China.ORCID 0000-0001-7604-1894

Funding

Jilin Provincial Department of Science and Technology Innovation Platform and Talent Special Project 20230508090RC
6 · The paper itself

Abstract

This study aimed to investigate the effects of dietary fiber (DF) levels and copper concentrations on the production performance and cecal microbial diversity of finishing pigs. A 2 × 2 factorial experimental design was used, with different levels of dietary fiber (low [23% DF]: L and high [30% DF]: H) and copper concentrations (normal [25 mg/kg]: N and supplemented [45 mg/kg]: S) resulting in four diets (LN, LS, HN, and HS). Forty-eight hybrid barrows (Duroc × Landrace × Yorkshire), with an initial body weight of 76 kg ± 1.5 kg, were randomly assigned to four groups: LN, LS, HN, and HS, with 12 replicates per group and one pig per replicate. There was a 7-day adaptation period followed by a 56-day feeding trial, after which all pigs were slaughtered for sampling. Results indicated that in finishing pigs, the low dietary fiber group exhibited a higher final weight, a higher average daily gain, and a lower feed-to-gain ratio compared to the high fiber group (

Indexed as

colon microfloradietary fiberfinishing pigsproduction performancetrace element copper

Identifiers

PMID39595221
PMCPMC11591348

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.