Evidence map›Paper›PMID 40061600›Full record

ArticleWorld journal of gastroenterology2025

Herbal medicine as a potential treatment for non-alcoholic fatty liver disease.

Wen-Yi Nie, Yang Ye, Hong-Xuan Tong, Jing-Qing Hu

Abstract readLetter
In one paragraph

Article in World journal of gastroenterology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

4 authors.

Wen-Yi NieDepartment of Traditional Chinese Medicine, Changchun University of Chinese Medicine, Changchun 130117, Jilin Province, China.
Yang YeDepartment of Traditional Chinese Medicine, Peking University Third Hospital, Beijing 100191, China.
Hong-Xuan TongInstitute of Basic Theory for Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China. thongxuan1@163.com.
Jing-Qing HuDepartment of Traditional Chinese Medicine, Changchun University of Chinese Medicine, Changchun 130117, Jilin Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-alcoholic fatty liver disease (NAFLD) has emerged as a global public health concern, affecting over one-quarter of the global population. It is closely associated with the prevalence of obesity and metabolic syndrome. Current treatment options for NAFLD are limited and often have side effects. Traditional Chinese medicine (TCM) offers a promising alternative with its holistic approach and use of multi-component herbal formulations. A recent study explored the potential of the TCM formula, "Fanlian Huazhuo Formula (FLHZF)", to alleviate high-fat diet-induced NAFLD by regulating autophagy and lipid synthesis signaling pathways. TCM has shown advantages in the prevention and treatment of NAFLD due to its efficacy and minimal side effects. However, the complex multicomponent and multitarget characteristics of formulas such as FLHZF present challenges in research. Future studies should focus on utilizing modern techniques to deepen our understanding of the mechanisms of action and active ingredients of Chinese herbal medicines, thereby promoting their modernization.

Indexed as

Drugs, Chinese HerbalMedicine, Chinese TraditionalNon-alcoholic Fatty Liver DiseaseAnimalsAutophagyDiet, High-FatDisease Models, AnimalHumansLiverPhytotherapySignal TransductionTreatment OutcomeDrugs, Chinese HerbalAutophagyFanlian Huazhuo FormulaHerbal medicineNon-alcoholic fatty liver diseaseTraditional Chinese medicine

Identifiers

PMID40061600
PMCPMC11886045

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.