Evidence map›Paper›PMID 41788586›Full record

ArticleJournal of ginseng research2026

Effect of red ginseng beverage on menopausal symptoms in Chinese women: A randomized, double-blind, placebo-controlled clinical trial.

XueYing Wang, Yi Yang, TianYu Zheng, ChengZhi Wang, SiYu Qu, HongMei Luo, Chi Xu, YanLing Li

Abstract read
In one paragraph

Article in Journal of ginseng research, 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

8 authors.

XueYing WangFirst Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Yi YangScientific Research Center, Conbio Technology Group Co, Ltd, Tianjin, China.
TianYu ZhengFirst Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
ChengZhi WangFirst Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
SiYu QuFirst Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
HongMei LuoFirst Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Chi XuEco-city Hospital of Tianjin Fifth Central Hospital, Tianjin, China.
YanLing LiFirst Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Menopause involves both physical and psychological changes, notably vasomotor and mood symptoms. Menopausal symptoms adversely affect women's quality of life and work. This study evaluates the effects of red ginseng beverage (RGB) on menopausal symptoms in Chinese women. Methods: This 90-day, randomized, double-blind, placebo-controlled trial involved 112 eligible women assigned to either an RGB or placebo group. Primary outcomes were the Kupperman Index. Secondary outcomes included vasomotor markers, psychological assessments, lipid profiles, exercise-induced fatigue test indicators and safety indicators. Safety assessments included fire-heat symptom scale, female hormone levels, endometrial thickness, breast ultrasound, and standard laboratory tests. All outcomes were assessed at baseline and upon study completion. Results: RGB group primary outcomes compared to placebo: (1) the Conclusion: These findings demonstrate RGB's efficacy and safety for menopausal symptom management.

Indexed as

Anti-fatigueLipid profilesMenopausal symptomsRed ginsengVasomotor indicators

Identifiers

PMID41788586
PMCPMC12959274

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.