Evidence map›Paper›PMID 36159578›Full record

ReviewEvidence-based complementary and alternative medicine : eCAM2022

Research Progress on the Effect of Traditional Chinese Medicine on Signal Pathway Related to Premature Ovarian Insufficiency.

Yidi Wang, Xiuxiang Teng, Jun Liu

Abstract readReview
In one paragraph

Review in Evidence-based complementary and alternative medicine : eCAM, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

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

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  12. Mechanism of Zuogui pill enhancing ovarian function and skin elastic repair in premature aging rats based on artificial intelligence medical image analysis.Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) · 2024
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  14. The regulatory roles of Smad2/3 protein andInternational journal of reproductive biomedicine · 2024
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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

3 authors.

Yidi WangCapital Medical University, Beijing 100069, China.ORCID https://orcid.org/0000-0002-7137-4478
Xiuxiang TengBeijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing 100010, China.ORCID https://orcid.org/0000-0001-5706-6519
Jun LiuBeijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing 100010, China.ORCID https://orcid.org/0000-0002-5358-7269

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The occurrence and development of premature ovarian insufficiency involves the abnormality of multiple signal pathways. It is a complex disease. Traditional Chinese medicine affects the relevant factors of the occurrence and development of premature ovarian insufficiency (granulosa cell apoptosis, ovarian blood supply, ovarian reserve, ovarian oxidative damage, gap junction, ovarian fibrosis, follicular development, follicular atresia, and other biological processes) by regulating a variety of signal pathways, thus playing the role in antioxidant stress, prevention and treatment of chemotherapy side effects, protection of ovarian function, control of aging, and improvement of ovarian reserve function. The research shows that the research on the related pathways of traditional Chinese medicine in the treatment of premature ovarian insufficiency has been quite extensive. Based on the search of the domestic and foreign literature, it is found that Yulinzhu and Xianziyizhen capsule and ginsenoside Rg

Identifiers

PMID36159578
PMCPMC9492371

What OpenQuestion holds

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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.