Evidence map›Paper›PMID 38984297›Full record

ArticleHeliyon2024

Research on the mechanism of sea buckthorn leaf Fu tea in the treatment of hyperlipidemia.

Si-Kai Chen, Wen-Xin Wei, Feng-Yu Huang, Jing Wang, Xing-Yu Li, Yu-Ting Yang, Wan-Tao Xing, Feng Gao, Min Li, Feng Miao and 2 more

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

12 authors.

Si-Kai ChenShaanxi University of Chinese Medicine, Xianyang, 712046, China.
Wen-Xin WeiNanchang University, Nanchang, 330029, China.
Feng-Yu HuangShaanxi University of Chinese Medicine, Xianyang, 712046, China.
Jing WangShaanxi University of Chinese Medicine, Xianyang, 712046, China.
Xing-Yu LiShaanxi University of Chinese Medicine, Xianyang, 712046, China.
Yu-Ting YangShaanxi University of Chinese Medicine, Xianyang, 712046, China.
Wan-Tao XingShaanxi University of Chinese Medicine, Xianyang, 712046, China.
Feng GaoShaanxi University of Chinese Medicine, Xianyang, 712046, China.
Min LiShaanxi University of Chinese Medicine, Xianyang, 712046, China.
Feng MiaoThe Second Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang, 712000, China.
Liang-Liang ChenThe Second Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang, 712000, China.
Pei-Feng WeiShaanxi University of Chinese Medicine, Xianyang, 712046, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Hyperlipidemia (HLP) presents a significant challenge to global public health. Mounting evidence suggests that statins, the recommended first-line lipid-lowering agents, have significant adverse effects. Consequently, the quest for natural and efficacious alternative therapies is steadily emerging as a research priority for HLP prevention and treatment. Consumption of tea, which is rich in diverse biologically active compounds with the capacity to regulate lipid metabolism and combat obesity, has emerged as a promising alternative therapy. Sea buckthorn leaves are rich in a multitude of biologically active substances, have a hypolipidemic effect, and can be used as a raw material for tea because of their unique flavor. There is a suggestion that combining Results: Sea Buckthorn Leaf Fu Tea (SBLFT) was obtained by fermentation when sea buckthorn leaves contained 42 % moisture, inoculated with Conclusion: SBLFT improved HLP, specifically via promoting the expression of

Indexed as

Aspergillus cristatusHyperlipoidemiaSea buckthorn leaf Fu tea

Identifiers

PMID38984297
PMCPMC11231531

What OpenQuestion holds

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Registered trials

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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.