Evidence map›Paper›PMID 39114351›Full record

SynthesisFrontiers in pharmacology2024

The effects of baicalin in depression: preclinical evidence construction based on meta-analysis.

Dan Wang, Yu-Meng Ren, Yi-Xuan Guo, Zhi-Qi Zhang, He- Sui, Hai-Yan Zhang

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in pharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Therapeutic potential ofIn silico pharmacology · 2026
    Article
  2. Baicalin alleviates HScientific reports · 2025
    Article
  3. Article
  4. 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.

Dan WangCollege of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China.
Yu-Meng RenSchool of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China.
Yi-Xuan GuoSchool of Acupuncture-Moxibustion and Tuina, Shandong University of Traditional Chinese Medicine, Jinan, China.
Zhi-Qi ZhangSchool of Acupuncture-Moxibustion and Tuina, Shandong University of Traditional Chinese Medicine, Jinan, China.
He- SuiSchool of Acupuncture-Moxibustion and Tuina, Shandong University of Traditional Chinese Medicine, Jinan, China.
Hai-Yan ZhangResearch Institute of Acupuncture and Moxibustion, Shandong University of Traditional Chinese Medicine, Jinan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Depression manifests as a mental disorder characterized by a low mood, suicidal tendencies, disturbances in sleep-wake cycles, psychomotor agitation, and pronounced feelings of hopelessness and anhedonia. Baicalin, a natural flavonoid compound, shows significant promise in alleviating depressive symptoms in animals. This study aims to assess the impact of baicalin on experimental models of depression. Methods: A systematic search of electronic databases was conducted using the search terms "baicalin" AND "depression" OR "depressed" OR "anti-depression". Preclinical animal models representing experimental depression were included in the analysis. The risk of bias in the included studies was evaluated using the CAMARADES tools. Results: Baicalin significantly increased sucrose preference test (SPT) [SMD= 21.31, 95%CI (16.32, 26.31), Conclusion: Baicalin significantly improves the manifestations of depressive symptoms. The effect of baicalin against depression is exerted through its anti-inflammatory actions, inhibition of oxidative stress, regulation of the HPA axis, and restoration of neuroplasticity. Future studies will be needed to further explore how these promising preclinical findings can be translated into clinical treatment for depression. Systematic Review Registration: https://www.crd.york.ac.uk/PROSPERO/, identifier CRD42023472181.

Indexed as

baicalindepression diseasesflavonoidsmeta-analysisreview

Identifiers

PMID39114351
PMCPMC11303225

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Registered trials

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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.