ArticleAmerican journal of translational research2021
Sequential therapy for kidney-tonifying via traditional Chinese medicine effectively improves the reproductive potential and quality of life of women with decreased ovarian reserve: a randomized controlled study.
Article in American journal of translational research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 11 citations in OpenAlex.
- Erzhi Tiangui formula increases the number of high-quality blastocysts in patients with advanced age by regulating the Nrf2/HO-1 signaling pathway: a randomized controlled study.Journal of ovarian research · 2025Trial
- The efficacy of traditional Chinese medicine sequential therapy in non-alcoholic fatty liver disease.Pakistan journal of medical sciences · 2025Article
- The depletion of gut microbiome impairs the beneficial effect of Gui-Shen-Wan in restoring mice ovarian function and associated protein expression of ovarian tissues.Frontiers in cellular and infection microbiology · 2024Article
- Article
- Treatment Progress in Diminished Ovarian Reserve: Western and Chinese Medicine.Chinese journal of integrative medicine · 2023Review
- Wenshen Yangxue decoction promotes follicular development in aged female mice stimulation of the silent information regulator 3/forkhead transcription factor O1 3a pathway.Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan · 2022Article
- Multiple Protocols Combined with Hyperbaric Oxygen Therapy on the Maintenance of Ovarian Function in Patients After Ovarian Cystectomy.Frontiers in surgery · 2022Article
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo investigate the effect of sequential therapy for kidney-tonifying via traditional Chinese medicine (TCM) on improving the fecundity and quality of life (QOL) of women with decreased ovarian reserve (DOR).
methodsA prospective and randomized controlled study was conducted, in which 80 infertile patients with DOR were selected in our hospital and randomly divided into the test group (n=40) and the control group (n=40). The control group was given sequential therapy of artificial menstrual cycle via administration of estrogen and progesterone, and the test group received sequential therapy for kidney-tonifying via TCM. Then, Kupperman indices, hormone levels, ovarian reserve functions, menopause specific quality of life questionnaire (MENQOL) scores, as well as the pregnancy rates within one year before and after treatment were compared between the two groups.
resultsCompared with the control group, the levels of follicle-stimulating hormone (FSH), luteinizing hormone (LH), and resistance index (RI) of ovarian stroma were significantly decreased in the test group (all P<0.001), while the levels of estradiol (E2), anti-Mullerian hormone (AMH), mid-luteal phase E2, progesterone, antral follicular count (AFC), and ovarian diameter (OVD) of patients were notably increased in the test group (all P<0.001). After treatment, the Kupperman indices and MENQOL scores of the test group were considerably lower than those of the control group (P<0.001). No adverse effects were observed in the test group, whereas the incidence of adverse effects in the control group was 12.50%, although without significant difference between the two groups (P>0.05). The pregnancy rate within one year in the test group was significantly higher than that of the control group (47.50% vs. 25.00%) (P<0.05).
conclusionSequential therapy for kidney-tonifying via TCM could effectively improve the clinical symptoms, hormone levels, and ovarian function, increase ovulation quality and pregnancy rate, and improve the QOL of DOR patients.
Indexed as
Identifiers
34017485PMC8129248W3161538003What OpenQuestion holds
Registered trials
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.