Evidence map›Paper›PMID 37265769›Full record

ReviewChinese herbal medicines2023

Jiawei Xiaoyao San in treatment of anxiety disorder and anxiety: A review.

Jiaqi Xie, Dandan Xu, Can Wang, Jianmei Huang

Open access · goldAbstract readReview
In one paragraph

Review in Chinese herbal medicines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
5.7field-weighted citation impact, top 4% 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

8 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. [Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2025
    Article
  4. Review
  5. Review
  6. Review
  7. Article
  8. 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

4 authors at 1 institution in 1 country.

Jiaqi XieSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 100029, China.
Dandan XuSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 100029, China.
Can WangSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 100029, China.
Jianmei HuangSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 100029, China.
Beijing University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Jiawei Xiaoyao San (JWXYS) has shown excellent clinical efficacy in anxiety disorder, but has not yet attracted widespread attention. The animal experiments, clinical trials and mechanism studies of JWXYS were reviewed in this article, which may provide a reference for developing new anxiolytic drugs based on this prescription. The literature was searched in PubMed and CNKI and the documents written in English or with English abstracts were selected. JWXYS could reduce the anxiety symptoms of patients alone and reduce the adverse reactions when it is used in combination with other drugs in the clinic. In preclinical studies, JWXYS also showed therapeutic effects in reducing anxiety-like behavior. The mechanisms may include improving the hypothalamic-pituitaryadrenal (HPA) axis and hormone disorders, increasing neurotransmitter content, neurogenesis, and regulating the synthesis of related enzymes. This article shows that JWXYS could effectively treat anxiety disorders by regulating the central nervous system. In the future, with the participation of more researchers, it is expected to develop innovative drugs for the treatment of anxiety disorders based on JWXYS.

Indexed as

anxiety disorderanxiolytic activityJiawei Xiaoyao San

Identifiers

PMID37265769
PMCPMC10230634
OpenAlexW4324344480

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.