Effects of bazedoxifene on endometriosis in experimental animal models: A systematic review and meta-analysis

被引:0
作者
Makoui, Reza Hassanzadeh [1 ]
Fekri, Shiva [2 ]
Ansari, Negar [3 ]
Makoui, Masoud Hassanzadeh [1 ]
机构
[1] Zanjan Univ, Fac Med, Dept Immunol, Zanjan, Iran
[2] Zanjan Univ, Fac Med, Dept Obstet & Gynecol, Zanjan, Iran
[3] Zanjan Univ, Fac Med, Dept Internal Med, Zanjan, Iran
关键词
Animal model; bazedoxifene; endometriosis; meta; -analysis; COMBINATION; REGRESSION; ESTROGENS;
D O I
暂无
中图分类号
R71 [妇产科学];
学科分类号
100211 ;
摘要
Endometriosis is a prevalent condition in women that causes pelvic pain and fertility issues due to the growth of endometrial tissue outside the uterus during menstrual cycles. Steroid hormones play a crucial role in the development and growth of endometriosis lesions; therefore, researchers have investigated several effective drugs that target hormones for treating this disease. One such drug is bazedoxifene, but despite several animal studies, there has yet to be a comprehensive evaluation of their combined results. A systematic search was conducted across several databases (Embase, PubMed, Scopus, and Web of Sciences) to identify studies investigating the effectiveness of bazedoxifene in animal models of endometriosis. Meta -analysis was performed using the size of endometriosis implants before and after drug administration in the case and control groups, along with the p -value of the associations. Begg's and Egger's tests were used to assess publication bias. This study included four eligible studies consisting of 45 endometrial animal models and 35 control subjects. The meta -analysis showed that bazedoxifene significantly reduced the size of endometriosis implants in animal models compared with the control group (odds ratio: 0.122, 95% confidence interval: 0.050-0.298, p<0.001). Detailed investigation determined that there was no significant heterogeneity between the studies (I 2 =38.81, and p -value of the Q test=0.179). However, according to Egger's test, the study showed publication bias (p=0.035). This study found that bazedoxifene is a promising treatment option for endometriosis in animal models. However, more research on animals and humans is required to confirm these results.
引用
收藏
页码:118 / 122
页数:5
相关论文
共 21 条
[1]   A review of the risk factors, genetics and treatment of endometriosis in Chinese women: a comparative update [J].
Dai, Yi ;
Li, Xiaoyan ;
Shi, Jinghua ;
Leng, Jinhua .
REPRODUCTIVE HEALTH, 2018, 15
[2]   Bazedoxifene-Conjugated Estrogens for Treating Endometriosis [J].
Flores, Valerie A. ;
Stachenfeld, Nina S. ;
Taylor, Hugh S. .
OBSTETRICS AND GYNECOLOGY, 2018, 132 (02) :475-477
[3]   Bazedoxifene/conjugated estrogens in combination with leuprolide for the treatment of endometriosis [J].
Hill, Amanda M. ;
Lessey, Bruce ;
Flores, Valerie A. ;
Taylor, Hugh S. .
CLINICAL CASE REPORTS, 2018, 6 (06) :990-994
[4]   Effect of bazedoxifene on expressions of VEGF, VEGFR2, COX-2 and inflammatory factors in a rat endometriosis model [J].
Hou, Rui ;
Xu, Hao ;
Li, Hui .
TROPICAL JOURNAL OF PHARMACEUTICAL RESEARCH, 2019, 18 (09) :1799-1804
[5]   Treatment with Bazedoxifene, a Selective Estrogen Receptor Modulator, Causes Regression of Endometriosis in a Mouse Model [J].
Kulak, Jaime, Jr. ;
Fischer, Catha ;
Komm, Barry ;
Taylor, Hugh S. .
ENDOCRINOLOGY, 2011, 152 (08) :3226-3232
[6]  
Lyu Huijuan, 2015, Zhonghua Fu Chan Ke Za Zhi, V50, P291
[7]   Pooling of animal experimental data reveals influence of study design and publication bias [J].
Macleod, MR ;
O'Collins, T ;
Howells, DW ;
Donnan, GA .
STROKE, 2004, 35 (05) :1203-1208
[8]   Selective estrogen receptor modulators: tissue specificity and clinical utility [J].
Martinkovich, Stephen ;
Shah, Darshan ;
Planey, Sonia Lobo ;
Arnott, John A. .
CLINICAL INTERVENTIONS IN AGING, 2014, 9 :1437-1452
[9]   Bazedoxifene: a selective estrogen-receptor modulator [J].
Mitwally, Mohamed F. M. .
WOMENS HEALTH, 2008, 4 (04) :319-326
[10]   Treatment with Bazedoxifene and Conjugated Estrogens Results in Regression of Endometriosis in a Murine Model [J].
Naqvi, Hanyia ;
Sakr, Sharif ;
Presti, Thomas ;
Krikun, Graciela ;
Komm, Barry ;
Taylor, Hugh S. .
BIOLOGY OF REPRODUCTION, 2014, 90 (06)