Evidence map›Paper›PMID 41897925›Full record

ArticleAnimals : an open access journal from MDPI2026

Effects of Enzyme-Microbe Co-Fermented

Bo Fan, Mengyun Li, Zhifang Shi, Xuanyang Li, Tongshuai Liu, Pu Cheng, Lei Xi

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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 FanAnimal Science, Xinjiang Agricultural University, No. 311 Nongda East Road, Urmuqi 830052, China.ORCID 0009-0002-2619-2090
Mengyun LiAnimal Science, Henan University of Animal Husbandry and Economy, No. 6 Longzihu North Road, Zhengzhou 450046, China.
Zhifang ShiAnimal Science, Henan University of Animal Husbandry and Economy, No. 6 Longzihu North Road, Zhengzhou 450046, China.ORCID 0000-0001-7122-6523
Xuanyang LiAnimal Science, Henan University of Animal Husbandry and Economy, No. 6 Longzihu North Road, Zhengzhou 450046, China.
Tongshuai LiuAnimal Science, Henan University of Animal Husbandry and Economy, No. 6 Longzihu North Road, Zhengzhou 450046, China.
Pu ChengAnimal Science, Henan University of Animal Husbandry and Economy, No. 6 Longzihu North Road, Zhengzhou 450046, China.
Lei XiAnimal Science, Xinjiang Agricultural University, No. 311 Nongda East Road, Urmuqi 830052, China.

Funding

Key Project of Science and Technology of Henan Province 242102111177Natural Science Foundation of Henan 242300420475Subproject of China's National Key Research and Development Program 2023YFD1300804-2
6 · The paper itself

Abstract

The effects of dietary supplementation of enzyme-microbe co-fermented Ganoderma lucidum spent substrate (EFGLS) on growth performance, apparent nutrient digestibility, organ indices, and cecal microbiota in yellow-feathered broilers are investigated. Healthy broilers (450 individuals of 22 days age) of similar body weight were randomly assigned to three dietary treatments (five replicates/treatment, 30 birds/replicate). A control group received a corn-soybean meal-based basal diet; treatments received diets containing 1.5% or 3.0% EFGLS. Over six weeks, treatment-group broilers exhibited significantly greater average daily gain and a lower feed-to-gain ratio compared with the control group (

Indexed as

apparent nutrient digestibilitycecal microbiotadietary supplementenzyme–microbe co-fermented Ganoderma lucidum spent substrategrowth performanceorgan indicesyellow-feathered broilers

Identifiers

PMID41897925
PMCPMC13023240

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.