Evidence map›Paper›PMID 40509408›Full record

ReviewFoods (Basel, Switzerland)2025

Lipid-Lowering Effects of Alpha-Mangostin: A Systematic Review and Meta-Analysis in Hyperlipidemic Animal Models.

Moragot Chatatikun, Aman Tedasen, Phichayut Phinyo, Pakpoom Wongyikul, Passakorn Poolbua, Wiyada Kwanhian Klangbud, Jason C Huang, Rattana Leelawattana, Atthaphong Phongphithakchai

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Foods (Basel, Switzerland), 2025. 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. Review
  2. 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

9 authors.

Moragot ChatatikunDepartment of Medical Technology, School of Allied Health Sciences, Walailak University, Nakhon Si Thammarat 80160, Thailand.ORCID 0000-0003-3264-1155
Aman TedasenDepartment of Medical Technology, School of Allied Health Sciences, Walailak University, Nakhon Si Thammarat 80160, Thailand.
Phichayut PhinyoCenter for Clinical Epidemiology and Clinical Statistics, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand.ORCID 0000-0002-8543-6254
Pakpoom WongyikulCenter for Clinical Epidemiology and Clinical Statistics, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand.ORCID 0000-0003-4998-6977
Passakorn PoolbuaDepartment of Medical Technology, School of Allied Health Sciences, Walailak University, Nakhon Si Thammarat 80160, Thailand.
Wiyada Kwanhian KlangbudMedical Technology Program, Faculty of Science, Nakhon Phanom University, Nakhon Phanom 48000, Thailand.ORCID 0000-0002-5247-166X
Jason C HuangDepartment of Biotechnology and Laboratory Science in Medicine, National Yang Ming Chiao Tung University, Taipei 112304, Taiwan.ORCID 0009-0008-9286-1786
Rattana LeelawattanaEndocrinology and Metabolism Unit, Division of Internal Medicine, Faculty of Medicine, Prince of Songkla University, Songkhla 90110, Thailand.
Atthaphong PhongphithakchaiNephrology Unit, Division of Internal Medicine, Faculty of Medicine, Prince of Songkla University, Songkhla 90110, Thailand.ORCID 0000-0001-8422-2644

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hyperlipidemia is a major risk factor for cardiovascular and metabolic diseases. Although pharmacologic treatments are effective, their adverse effects have spurred interest in natural alternatives. Alpha-mangostin (AM), a xanthone from

Indexed as

alpha-mangostinanimal modelcholesterolHDL-ChyperlipidemiaLDL-Ctriglyceride

Identifiers

PMID40509408
PMCPMC12154098

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.