Unknown

Dataset Information

Development and validation of a model for individualized prediction of cervical insufficiency risks in patients undergoing IVF/ICSI treatment.


ABSTRACT:

Background

Women who conceived with in vitro fertilization (IVF) or intracytoplasmic sperm injection (ICSI) are more likely to experience adverse pregnancy outcomes than women who conceived naturally. Cervical insufficiency (CI) is one of the important causes of miscarriage and premature birth, however there is no published data available focusing on the potential risk factors predicting CI occurrence in women who received IVF/ICSI treatment. This study aimed to identify the risk factors that could be integrated into a predictive model for CI, which could provide further personalized and clinically specific information related to the incidence of CI after IVF/ICSI treatment.

Patients and methods

This retrospective study included 4710 patients who conceived after IVF/ICSI tre

SUBMITTER: Wu Y 

PROVIDER: S-EPMC7789534 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature