Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Xiyuan Dong is active.

Publication


Featured researches published by Xiyuan Dong.


Gynecological Endocrinology | 2015

The artificial cycle method improves the pregnancy outcome in frozen–thawed embryo transfer: a retrospective cohort study

Yu Zheng; Xiyuan Dong; Bo Huang; Hanwang Zhang; Jihui Ai

Abstract The aim of this retrospective cohort study was to investigate which preparation method is optimal for frozen–thawed embryo transfer (FET) treatment. Analyses were performed on 3160 FET cycles, including 654 cycles with a natural cycle (NC) protocol and 2506 cycles with an artificial cycle (AC) protocol. The primary outcome measures were the clinical pregnancy rate (CPR) and the live birth rate (LBR) per transfer. The Student’s t-test, chi-square test and multiple logistic regression were used for statistical analysis. The CPR per transfer was 49.4% in the NC group and 58.6% in the AC group (OR = 1.270, 95% CI: 1.037–1.554). The LBR per transfer was 42.2% and 50.8% in the NC and AC groups, respectively (OR = 1.269, 95% CI: 1.037–1.552). Dividing the patients according to the type of transferred embryos, the CPR (67.3% versus 57.0%, p < 0.01) and LBR (58.8% versus 49.7%, p < 0.01) were higher after the AC protocol than after NC protocol in patients with blastocyst transfer. The NC and AC protocols yielded comparable CPR and LBR in the patients with cleavage embryo transfer. Our data indicate better pregnancy outcomes after the AC protocol than after the NC protocol. The AC protocol should be recommended in patients who were counseled before receiving FET treatment. Further studies are needed to confirm this finding. Chinese abstract 这项回顾性队列研究的目的是探讨冷冻解冻胚胎移植(frozen-thawed embryo transfer,FET)的最佳准备方法。对3160例FET周期进行分析,其中自然周期(natural cycle,NC)方案组654例,人工周期(artificial cycle,AC)方案组2506例。以每个周期的临床妊娠率(clinical pregnancy rate,CPR)和活产率(live birth rate,LBR)作为评价指标。使用t检验、卡方检验和多重logistic回归进行统计学分析。NC组每周期的CPR为49.4%,AC组每周期的CPR为58.6%(OR=1.270,95% CI:1.037-1,554)。NC组和AC组每周期的LBR分别为42.2%和50.8%(OR=1.269,95% CI: 1.037-1.552)。将患者按照移植的胚胎类型来分,其中行囊胚移植的患者,AC方案的CPR(67.3% Vs 57.0, p<0.01)和LBR(58.8% Vs 49.7%, p<0.01)均高于NC方案。而行卵裂期胚胎移植的患者,NC方案和AC方案具有相似的CPR和LBR。我们的数据表明AC方案的妊娠结局优于NC方案。对于接受FET治疗的患者推荐使用AC方案。这一结论需要进一步的研究来证实。


Gynecological Endocrinology | 2015

The criteria for optimal down-regulation with gonadotropin-releasing hormone-agonist: a retrospective cohort study

Yu Zheng; Xiyuan Dong; Rui Wang; Wei Yang; Hanwang Zhang; Guijin Zhu; Jihui Ai

Abstract Objective: The objective of this study is to investigate whether the degree of down-regulation using GnRH-agonists is associated with pregnancy outcomes. Study design: This retrospective analysis was performed on 2708 cycles from 2514 patients undergoing down-regulation with the luteal phase long protocol. The serum oestradiol (E2D) and luteinising hormone (LHD) levels, the diameter of the largest follicle (DLFD) and the endometrial-thickness (ENTD) after down-regulation were used to evaluate the degree of down-regulation. One-way analysis of variance with the Bonferroni adjustment, the chi-square test and multivariate logistic regression analyses were used for the statistical analysis. Results: The cumulative clinical pregnancy rates (CCPR) and the cumulative live birth rates (CLBR) were higher in the cycles with E2D < 30 pg/ml (63.7%, OR = 1.405 (1.055–1.870) and 56.8%, OR = 1.372 (1.039–1.813)) and 30–55pg/ml (66.8%, OR = 1.439 (1.104–1.874) and 59.8%, OR = 1.397 (1.080–1.806)) than in those with E2D > 55 pg/ml (62.8% and 54.7%). There was a trend towards lower CCPRs and CLBRs in the cycles with DLFD > 10 mm or ENTD ≥ 6 mm; however, this difference was not significant. Conclusion: The degree of down-regulation is associated with ovarian response, pregnancy, and live birth. We propose the following criteria for optimal down-regulation: E2D 30-55 pg/ml, ENTD < 6 mm, and no apparent ovarian activity.


International Journal of Clinical and Experimental Pathology | 2013

The impact of endometriosis on IVF/ICSI outcomes

Xiyuan Dong; Xiuhua Liao; Rui Wang; Hanwang Zhang


American Journal of Translational Research | 2014

MiR-223 suppresses endometrial carcinoma cells proliferation by targeting IGF-1R

Kai Huang; Xiyuan Dong; Cong Sui; Dan Hu; Ting Xiong; Shujie Liao; Hanwang Zhang


American Journal of Translational Research | 2014

Hormonal replacement treatment improves clinical pregnancy in frozen-thawed embryos transfer cycles: a retrospective cohort study.

Yu Zheng; Zhou Li; Min Xiong; Ting Luo; Xiyuan Dong; Bo Huang; Hanwang Zhang; Jihui Ai


Human Reproduction | 2014

Fertility clinicians and infertile patients in China have different preferences in fertility care

Q.F. Cai; Fei Wan; Xiyuan Dong; X.H. Liao; J. Zheng; Rui Wang; Lan Wang; Licheng Ji; H.W. Zhang


American Journal of Translational Research | 2016

MicroRNA-223-3p suppresses leukemia inhibitory factor expression and pinopodes formation during embryo implantation in mice.

Xiyuan Dong; Cong Sui; Kai Huang; Lan Wang; Dan Hu; Ting Xiong; Rui Wang; Hanwang Zhang


American Journal of Translational Research | 2014

Surgical treatment for endometrioma does not increase clinical pregnancy rate or live birth/ongoing pregnancy rate after fresh IVF/ICSI treatment.

Xiyuan Dong; Rui Wang; Yu Zheng; Ting Xiong; Xiuhua Liao; Bo Huang; Hanwang Zhang


International Journal of Clinical and Experimental Pathology | 2014

Comparison between oral and vaginal estrogen usage in inadequate endometrial patients for frozen-thawed blastocysts transfer.

Xiuhua Liao; Zhou Li; Xiyuan Dong; Hanwang Zhang


International Journal of Clinical and Experimental Medicine | 2015

Can the peak E2/follicle ratio be a quantitative indicator of pregnancy outcomes following assisted reproductive cycles? A retrospective study.

Dan Hu; Xiyuan Dong; Min Xiong; Ting Xiong; Bo Huang; Dan Zeng; Jihui Ai; Hanwang Zhang

Collaboration


Dive into the Xiyuan Dong's collaboration.

Top Co-Authors

Avatar

Hanwang Zhang

Huazhong University of Science and Technology

View shared research outputs
Top Co-Authors

Avatar

Yu Zheng

Huazhong University of Science and Technology

View shared research outputs
Top Co-Authors

Avatar

Bo Huang

Huazhong University of Science and Technology

View shared research outputs
Top Co-Authors

Avatar

Jihui Ai

Huazhong University of Science and Technology

View shared research outputs
Top Co-Authors

Avatar

Rui Wang

Huazhong University of Science and Technology

View shared research outputs
Top Co-Authors

Avatar

Ting Xiong

Huazhong University of Science and Technology

View shared research outputs
Top Co-Authors

Avatar

Dan Hu

Huazhong University of Science and Technology

View shared research outputs
Top Co-Authors

Avatar

Kai Huang

Huazhong University of Science and Technology

View shared research outputs
Top Co-Authors

Avatar

Min Xiong

Huazhong University of Science and Technology

View shared research outputs
Top Co-Authors

Avatar

Zhou Li

Huazhong University of Science and Technology

View shared research outputs
Researchain Logo
Decentralizing Knowledge