Evidence map›Paper›PMID 39123552›Full record

ArticleFoods (Basel, Switzerland)2024

Alleviation of High-Fat Diet-Induced Hyperlipidemia in Mice by

Jingzhang Geng, Yunxia Wu, Honglei Tian, Jianwei Dong

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Foods (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Jingzhang GengShaanxi Province Key Laboratory of Bio-Resources, QinLing-Bashan Mountains Bioresources Comprehensive Development C. I. C., Qinba State Key Laboratory of Biological Resources and Ecological Environment, Shaanxi University of Technology, 1 East 1st Ring Road, Hanzhong 723001, China.ORCID 0000-0002-3470-2524
Yunxia WuShaanxi Province Key Laboratory of Bio-Resources, QinLing-Bashan Mountains Bioresources Comprehensive Development C. I. C., Qinba State Key Laboratory of Biological Resources and Ecological Environment, Shaanxi University of Technology, 1 East 1st Ring Road, Hanzhong 723001, China.
Honglei TianShaanxi Province Key Laboratory of Bio-Resources, QinLing-Bashan Mountains Bioresources Comprehensive Development C. I. C., Qinba State Key Laboratory of Biological Resources and Ecological Environment, Shaanxi University of Technology, 1 East 1st Ring Road, Hanzhong 723001, China.
Jianwei DongShaanxi Province Key Laboratory of Bio-Resources, QinLing-Bashan Mountains Bioresources Comprehensive Development C. I. C., Qinba State Key Laboratory of Biological Resources and Ecological Environment, Shaanxi University of Technology, 1 East 1st Ring Road, Hanzhong 723001, China.

Funding

the Key Scientific Research Program of Shaanxi Provincial Department of Education 23JY018The present research was funded by the State Key Laboratory of Biological Resources and Eco-logical Environment (Cultivation) of Qinba SXC-2106the Qin Chuangyuan Team Building Project for 'Scientists + Engineers' in Shaanxi Province 2023KXJ-203the Scientific Research Program of Shaanxi University of Technology SLGRC202404
6 · The paper itself

Abstract

Hyperlipidemia is a chronic disease that is difficult to cure, and long-term pharmacotherapy may have negative consequences. Dietary therapy is a very promising strategy, and Chinese rice wine (Huangjiu) will play an important role because of its many biologically active components. In this work, the alleviating effect of

Indexed as

gut microbiotahyperlipidemiametabolicStachys sieboldii Miq. Huangjiu

Identifiers

PMID39123552
PMCPMC11312184

What Socratic 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 Socratic graph.