Evidence map›Paper›PMID 40620463›Full record

ReviewDrug design, development and therapy2025

Advances in Traditional Chinese Medicine for Managing Diminished Ovarian Reserve: Mechanisms and Clinical Insights.

Yonghui Liu, Mingchan Wei, Yasheng Deng, Yanping Fan, Yiqing Zheng, Zhaobing Ni, Jiang Lin

Abstract readReview
In one paragraph

Review in Drug design, development and therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
–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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. 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

7 authors.

Yonghui LiuCollege of Basic Medicine, Guangxi University of Chinese Medicine, Nanning, 530200, People's Republic of China.
Mingchan WeiGuangxi International Zhuang Medicine Hospital, Nanning, Nanning, 530200, People's Republic of China.
Yasheng DengCollege of Basic Medicine, Guangxi University of Chinese Medicine, Nanning, 530200, People's Republic of China.
Yanping FanCollege of Basic Medicine, Guangxi University of Chinese Medicine, Nanning, 530200, People's Republic of China.
Yiqing ZhengCollege of Basic Medicine, Guangxi University of Chinese Medicine, Nanning, 530200, People's Republic of China.
Zhaobing NiCollege of Basic Medicine, Guangxi University of Chinese Medicine, Nanning, 530200, People's Republic of China.
Jiang LinCollege of Basic Medicine, Guangxi University of Chinese Medicine, Nanning, 530200, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diminished Ovarian Reserve (DOR) is characterised by a decrease in the number and quality of oocytes, accompanied by biological markers such as a decrease in anti-Müllerian hormone (AMH), a decrease in the sinus follicle count (AFC), and an increase in follicle stimulating hormone (FSH). In response to the limitations of modern medical treatments, traditional Chinese medicine (TCM) has demonstrated unique advantages in the treatment of DOR. In this paper, we systematically reviewed the literature in the past decade to analyse the scientific content of TCM intervention in DOR from the dimensions of molecular mechanism and clinical application. It was found that single components (paeoniflorin,

Indexed as

Drugs, Chinese HerbalMedicine, Chinese TraditionalOvarian ReserveAnimalsFemaleHumansDrugs, Chinese Herbaldiminished ovarian reservemolecular mechanismsovarian functiontraditional Chinese medicine

Identifiers

PMID40620463
PMCPMC12228491

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.