Evidence map›Paper›PMID 36518663›Full record

ArticleFrontiers in pharmacology2022

Aqueous extract of Artemisia capillaris improves non-alcoholic fatty liver and obesity in mice induced by high-fat diet.

Meng Liang, Mohan Huo, Yi Guo, Yuyi Zhang, Xiao Xiao, Jianwen Xv, Lixue Fang, Tianqi Li, Huan Wang, Siyu Dong and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in pharmacology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.6field-weighted citation impact, top 9% of its field
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

10 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Protective role of hydroalcoholic extract ofResearch in pharmaceutical sciences · 2026
    Article
  5. Article
  6. Review
  7. Investigation of Active Components ofInternational journal of molecular sciences · 2024
    Article
  8. Article
  9. Article
  10. Protective effects of small RNAs encapsulated inFrontiers in pharmacology · 2024
    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

12 authors at 1 institution in 1 country.

Meng LiangDepartment of Veterinary Medicine, Northeast Agricultural University, Harbin, China.
Mohan HuoDepartment of Life Sciences, Northeast Agricultural University, Harbin, China.
Yi GuoDepartment of Veterinary Medicine, Northeast Agricultural University, Harbin, China.
Yuyi ZhangDepartment of Veterinary Medicine, Northeast Agricultural University, Harbin, China.
Xiao XiaoDepartment of Veterinary Medicine, Northeast Agricultural University, Harbin, China.
Jianwen XvDepartment of Veterinary Medicine, Northeast Agricultural University, Harbin, China.
Lixue FangDepartment of Veterinary Medicine, Northeast Agricultural University, Harbin, China.
Tianqi LiDepartment of Veterinary Medicine, Northeast Agricultural University, Harbin, China.
Huan WangDepartment of Veterinary Medicine, Northeast Agricultural University, Harbin, China.
Siyu DongDepartment of Veterinary Medicine, Northeast Agricultural University, Harbin, China.
Xiaowen JiangDepartment of Veterinary Medicine, Northeast Agricultural University, Harbin, China.
Wenhui YuDepartment of Veterinary Medicine, Northeast Agricultural University, Harbin, China.
Northeast Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-alcoholic fatty liver disease (NAFLD) is one of the most common chronic liver diseases and is a nutritional metabolic disease.

Indexed as

AMPKaqueous extracts of Artemisia capillarislipid metabolismNAFLDPI3K/AKTSREBP-1c

Identifiers

PMID36518663
PMCPMC9742474
OpenAlexW4310242073

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.