Evidence map›Paper›PMID 38675471›Full record

ReviewPharmaceuticals (Basel, Switzerland)2024

Shuzhen Ran, Rui Peng, Qingwan Guo, Jinshuai Cui, Gang Chen, Ziying Wang

Open access · goldAbstract readReview
In one paragraph

Review in Pharmaceuticals (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 7% 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, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Review
  6. Review
  7. Review
  8. Review
  9. Review
  10. 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

6 authors at 1 institution in 1 country.

Shuzhen RanInterdisciplinary Institute for Personalized Medicine in Brain Disorders, School of Traditional Chinese Medicine, Jinan University, Guangzhou 510632, China.
Rui PengInterdisciplinary Institute for Personalized Medicine in Brain Disorders, School of Traditional Chinese Medicine, Jinan University, Guangzhou 510632, China.
Qingwan GuoInterdisciplinary Institute for Personalized Medicine in Brain Disorders, School of Traditional Chinese Medicine, Jinan University, Guangzhou 510632, China.
Jinshuai CuiInterdisciplinary Institute for Personalized Medicine in Brain Disorders, School of Traditional Chinese Medicine, Jinan University, Guangzhou 510632, China.
Gang ChenInterdisciplinary Institute for Personalized Medicine in Brain Disorders, School of Traditional Chinese Medicine, Jinan University, Guangzhou 510632, China.ORCID 0000-0002-3507-1218
Ziying WangInterdisciplinary Institute for Personalized Medicine in Brain Disorders, School of Traditional Chinese Medicine, Jinan University, Guangzhou 510632, China.
Jinan University · CN

Funding

China Postdoctoral Science Foundation Grant No. 2021M691258GuangDong Basic and Applied Basic Research Foundation Grant No. 2021A1515110571Guangzhou Science and Technology Planning Project Grant No. 202201011429Guangzhou Science and Technology Planning Project Grant No. 202206010109National Key R&D Program of China Grant No. 2022YFE0201000National Natural Science Foundation of China Grants No. 82174002 and 82204652
6 · The paper itself

Abstract

The incidence of depression has been steadily rising in recent years, making it one of the most prevalent mental illnesses. As the pursuit of novel antidepressant drugs captivates the pharmaceutical field, the therapeutic efficacy of Traditional Chinese Medicine (TCM) has been widely explored. Chaihu (

Indexed as

active ingredientsantidepressantBupleurumChinese traditional formuladepression

Identifiers

PMID38675471
PMCPMC11054835
OpenAlexW4394879166

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.