Evidence map›Paper›PMID 38375042›Full record

ArticleChinese herbal medicines2024

Yajing Li, Fanghong Li, Mingning Ding, Zhi Ma, Shuo Li, Jiaorong Qu, Xiaojiaoyang Li

Abstract read
In one paragraph

Article in Chinese herbal medicines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Mechanism ofRenal failure · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Frontiers in pharmacology · 2025
    Review
  18. Review
  19. 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

7 authors.

Yajing LiSchool of Life Sciences, Beijing University of Chinese Medicine, Beijing 100029, China.
Fanghong LiSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 100029, China.
Mingning DingSchool of Life Sciences, Beijing University of Chinese Medicine, Beijing 100029, China.
Zhi MaSchool of Life Sciences, Beijing University of Chinese Medicine, Beijing 100029, China.
Shuo LiSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 100029, China.
Jiaorong QuSchool of Life Sciences, Beijing University of Chinese Medicine, Beijing 100029, China.
Xiaojiaoyang LiSchool of Life Sciences, Beijing University of Chinese Medicine, Beijing 100029, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Hepatic fibrosis has been widely considered as a conjoint consequence of almost all chronic liver diseases. Methods: The active compounds of CX extracts were identified by high performance liquid chromatography (HPLC). Network pharmacology was used to determine potential targets of CX against hepatic fibrosis. Bile duct hyperplasia and liver fibrosis were evaluated by serologic testing and histopathological evaluation. The expression of targets of interest was determined by quantitative real-time PCR (qPCR) and Western blot. Results: Different CX extracts were identified by tetramethylpyrazine, ferulic acid and senkyunolide A. Based on the network pharmacological analysis, 42 overlap targets were obtained via merging the candidates targets of CX and liver fibrosis. Different aqueous, alkaloid and phthalide extracts of CX (CX Conclusion: Our data supported that different CX extracts, especially CX

Indexed as

cholangiocytesChuanxiong Rhizomaductular reactionLigusticum chuanxiong Hort.liver fibrosislncRNA H19

Identifiers

PMID38375042
PMCPMC10874761

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.