Study types
- other 3
- article 2
Condition tags
- endometriosis 4
- infertility 1
- adenomyosis 1
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Frequent coauthors
- Jiang W 4
- Chen X 4
- Zheng B 4
- Zhu S 4
- Suqin Zhu 3
- Wenwen Jiang 3
- Xiaojing Chen 3
- Liao X 3
- Sun Y 3
- Li R 3
BACKGROUND: Adenomyosis, an estrogen-dependent condition characterized by endometrial invasion into the myometrium, is associated with reduced live birth rates and increased miscarriage risk in women undergoing assisted reproductive technol…
OBJECTIVE: This study aims to develop a machine learning-based predictive model for patients with endometriosis, with the goal of precisely identifying key factors and reliable predictive markers that influence live birth outcomes following…
ObjectiveThe present research aims to assess the factors that influence live birth outcomes following fresh embryo transfers using antagonist protocols in individuals diagnosed with polycystic ovary syndrome (PCOS). Furthermore, it seeks to…
OBJECTIVES: Although in vitro fertilization with embryo transfer is the most effective treatment for infertile patients with endometriosis, ovarian stimulation protocols are controversial. STUDY DESIGN: We recruited 639 patients with endom…
PURPOSE: To construct and validate a nomogram model for predicting clinical pregnancy in individuals with endometriosis undergoing fersh embryo transfer (ET). METHODS: A retrospective analysis was conducted on 1630 individuals with endomet…
OBJECTIVE: To explore the relative factors for best ovarian response in patients undergoing assisted reproductive technology with the gonadotropin-releasing hormone antagonist protocol and to establish a nomogram prediction model of ovarian…