school
Macau Periodical Index (澳門期刊論文索引)
- Author
- Sun, Li Li；Guan, Feng；Wei, Wei；Zhang, Fan；Chen, Yi Hua；Liu, Tian Ze
- Title
- Effect of GnRHa pretreatment on endometrial preparationin RIF-FET women: a meta-analysis
- Journal Name
- 鏡湖醫學
- Pub. Info
- 2023年6月, 總第48期, 第23卷第1期, pp. 52-56
- Link
- https://mjokw.magtechjournal.com/CN/Y2023/V23/I1
- Keyword
- GnRHa；FET；RIF；Meta-analysis
- Abstract
- Objective：The aim of this meta-analysis is to explore the effect of GnRHa down-regulation pretreatment on the endometrial preparation and the pregnancy/live birth rate in RIF-FET women. Methods：PubMed, EMBASE, Web of Science, Cochrane Library, CBM, CNKI, Weipu, and Wanfang databases were searched to identify relevant randomized control trials (RCTs). Studies before Jun, 2022 were included for primary screening. Meta-analysis of the endometrium thickness and clinical pregnancy rate were conducted. Results：There was no statistical difference at baseline comparison of age [MD=0.10, 95%CI(-0.95,1.15), (Z=0.19, P=0.85>0.1)]. The final selection enrolled 3 RCTs, involving 339 FET cycles. Compared with control group, the pooled effective values indicated that GnRHa administration could improve endometrium thickness [MD=0.42, 95%CI(-0.51, 1.34), Z=0.89, P=0.38>0.1] and clinical pregnancy rate [RR=1.47, 95%CI(0.96, 2.25), Z=1.78, P=0.07>0.05], but there was no statistical difference. Egger regression test (P=0.185>0.05) did not demonstrate any significance for the publication bias. Conclusion：GnRHa pretreatment had a beneficial role on the outcomes of FET cycles for RIF patients. There was a trend towards improved endometrium thickness and clinical pregnancy rate. However, the differences were not statistically significant. Therefore, additional large prospective studies were necessary on this topic. Paragraph Headings： 1. Introduction 2. Methods and procedures 3. Results 3.1. Study characteristic 3.2. Meta analysis 4. Discussion Figures： 1. Flow chat 2. Forest plot age 3. Forest plot endometrial thickness 4. Forest plot pregnancy rate 5. Publication bias analysis