Evidence map›Paper›PMID 41064258›Full record

ArticleFrontiers in veterinary science2025

The influence of dietary supplementation with ginger ethanol extract on laying hens' production performance, antioxidant capacity, and gut microbiota.

Sanjun Jin, Jiajia Shi, Mixue Zhao, Xinhe Liu, Kaige Yang, Enci Shang, Ping Wang, Chaoqi Liu, Lijun Wang, Xinxin Li and 4 more

Abstract read
In one paragraph

Article in Frontiers in veterinary science, 2025. 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

14 authors.

Sanjun Jin *College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, China.
Jiajia Shi *College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, China.
Mixue ZhaoCollege of Animal Science and Technology, Henan Agricultural University, Zhengzhou, China.
Xinhe LiuCollege of Animal Science and Technology, Henan Agricultural University, Zhengzhou, China.
Kaige YangCollege of Animal Science and Technology, Henan Agricultural University, Zhengzhou, China.
Enci ShangCollege of Animal Science and Technology, Henan Agricultural University, Zhengzhou, China.
Ping WangCollege of Animal Science and Technology, Henan Agricultural University, Zhengzhou, China.
Chaoqi LiuCollege of Animal Science and Technology, Henan Agricultural University, Zhengzhou, China.
Lijun WangCollege of Animal Science and Technology, Henan Agricultural University, Zhengzhou, China.
Xinxin LiCollege of Animal Science and Technology, Henan Agricultural University, Zhengzhou, China.
Qingqiang YinCollege of Animal Science and Technology, Henan Agricultural University, Zhengzhou, China.
Zhiguang YueHenan Anjin Biotechnology Co., Ltd., Xinxiang, China.
Xiaowei DangHenan Delin Biological Product Co. Ltd., Xinxiang, China.
Juan ChangCollege of Animal Science and Technology, Henan Agricultural University, Zhengzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to investigate the effects of ginger ethanol extract (GEE) on the production performance, egg quality, serum biochemistry, antioxidant capacity, and gut microbiota of Dawu Golden Phoenix laying hens. The study included 288 Dawu Golden Phoenix laying hens, aged 44 weeks, which were randomly divided into four groups: CON (basal diet), GEE 200 (basal diet + 200 mg kg

Indexed as

antioxidationegg qualityginger ethanol extractgut microbiotalaying hens

Identifiers

PMID41064258
PMCPMC12502258

What OpenQuestion holds

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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.