Table1_Salvia miltiorrhiza-Containing Chinese Herbal Medicine Combined With GnRH Agonist for Postoperative Treatment of Endometriosis: A Systematic Review and meta-Analysis.docx
2022
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Zugriff:
Background: Endometriosis is an estrogen-dependent gynecological inflammatory condition that may lead to infertility and recurrent pelvic pain. The purpose of this research was to determine the efficacy and safety of Salvia miltiorrhiza-containing Chinese herbal medicine (CHM) combined with gonadotropin-releasing hormone agonist (GnRH-a) for postoperative endometriosis management. Methods:Eight databases were systematically searched before October 2021, including PubMed, Embase, Cochrane Library, Scopus, Web of Sceince, CNKI, VIP, and Wanfang. Finally, all randomized controlled studies comparing Salvia miltiorrhiza-containing CHM paired with GnRH-a to GnRH-a alone for postoperative endometriosis management were included. Results: A total of 10 trials involving 836 patients were reported and analyzed. Compared with the control group, the Salvia miltiorrhiza-containing CHM combined with GnRH-a group showed significant superiority in decreasing endometriosis recurrence (risk ratio [RR] = 0.26; 95% confidence intervals [CI]: 0.16–0.41) and increasing the pregnancy rate ([RR] = 1.96; 95% CI: 1.58–2.44). Similarly, the effect of the Salvia miltiorrhiza-containing CHM combined with GnRH-a on CA-125 serum levels was positive (standardized mean difference [SMD] = -0.79; 95% CI: −1.11 to −0.47). Furthermore, this group showed a significant reduction in adverse effects. Conclusion: The results indicate that Salvia miltiorrhiza-containing CHM may be a viable choice for postoperative endometriosis therapy, with the potential to enhance pregnancy while decreasing recurrence and adverse effects.
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Table1_Salvia miltiorrhiza-Containing Chinese Herbal Medicine Combined With GnRH Agonist for Postoperative Treatment of Endometriosis: A Systematic Review and meta-Analysis.docx
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Autor/in / Beteiligte Person: | Gao, Qiang ; Shen, Lei ; Jiang, Bei ; Luan, Yi-feng ; Lin, Li-na ; Meng, Fan-ci ; Wang, Chao-ying ; Cong, Hui-fang |
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Veröffentlichung: | 2022 |
Medientyp: | unknown |
DOI: | 10.3389/fphar.2022.831850.s001 |
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