Evidence map›Paper›PMID 42576491›Full record

ArticleNan fang yi ke da xue xue bao = Journal of Southern Medical University2026

[

Yao Zhong, Xiaoshi Cai, Xinyuan Li, Suying Wang, You Wu, Zhaoxi Chen, Yue Wang, Bingrong Shen, Lin Gong, Jianying Shen and 2 more

Abstract readEnglish Abstract
PubMed Full text at PMC Publisher
In one paragraph

Article in Nan fang yi ke da xue xue bao = Journal of Southern Medical University, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yao ZhongCollege of Traditional Chinese Medicine, Shijiazhuang 050011, China.
Xiaoshi CaiCollege of Traditional Chinese Medicine, Shijiazhuang 050011, China.
Xinyuan LiCollege of Traditional Chinese Medicine, Shijiazhuang 050011, China.
Suying WangCollege of Traditional Chinese Medicine, Shijiazhuang 050011, China.
You WuCollege of Traditional Chinese Medicine, Shijiazhuang 050011, China.
Zhaoxi ChenShijiazhuang Ping'an Hospital, Shijiazhuang 050011, China.
Yue WangCollege of Traditional Chinese Medicine, Shijiazhuang 050011, China.
Bingrong ShenCollege of Traditional Chinese Medicine, Shijiazhuang 050011, China.
Lin GongCollege of Traditional Chinese Medicine, Shijiazhuang 050011, China.
Jianying ShenCollege of Traditional Chinese Medicine, Shijiazhuang 050011, China.
Li MinCollege of Traditional Chinese Medicine, Shijiazhuang 050011, China.
Wenna LiangCollege of Traditional Chinese Medicine, Shijiazhuang 050011, China.

Funding

National Natural Science Foundation of China 82274409 and 82174248
6 · The paper itself

Abstract

objectivesTo investigate the therapeutic mechanism of

methodsFifty-six female C57BL/6 mice were randomized into sham-operated group (

resultsThe OVX mice showed disrupted estrous cycles. The MPS+CUMS mice exhibited obvious depression-like behaviors, abnormal sex hormones and neurotransmitters, elevated inflammatory factors, hippocampal CA1 neuronal loss with disordered arrangement and pyknosis, reduced dendritic spines, increased microglial markers, decreased synaptic plasticity proteins, and upregulated C3/C3aR pathway. All these changes were significantly improved or corrected after CSS treatment in MPS+CUMS mice.

conclusionsCSS alleviates MPS with liver

Indexed as

HippocampusMenopauseMicrogliaNeuronal PlasticityAnimalsFemaleLiverMiceMice, Inbred C57BLPlant ExtractsQichaihu-shugan-sanPlant ExtractsC3/C3aR pathwayChaihu Shugan Sanliver qi stagnationmenopausal syndromemicroglia

Identifiers

PMID42576491
PMCPMC13458559

What OpenQuestion holds

Textmetadata
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.