ArticleReproductive biology and endocrinology : RB&E2021
Development and validation of a model for individualized prediction of cervical insufficiency risks in patients undergoing IVF/ICSI treatment.
Article in Reproductive biology and endocrinology : RB&E, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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13 citing papers in PubMed, 20 citations in OpenAlex.
- A Validated Model for Individualized Prediction of Live Birth in Patients With Adenomyosis Undergoing Frozen-Thawed Embryo Transfer.Frontiers in endocrinology · 2022Trial
- Pregnancy outcomes and risk factors of decidual polyps in the first trimester after fresh cycle embryo transfer.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2026Article
- Hyperandrogenism Synergizes With Obesity to Increase the Risk of Hypertensive Disorders of Pregnancy After Frozen Embryo Transfer.Journal of clinical hypertension (Greenwich, Conn.) · 2026Article
- Development and validation of a predictive model for cervical insufficiency incorporating AMH and androstenedione.Scientific reports · 2025Article
- Hyperandrogenism increases late spontaneous miscarriage in polycystic ovary syndrome women due to cervical insufficiency? A propensity-score matching study.BMC pregnancy and childbirth · 2025Article
- Risk factors of cervical insufficiency in women with PCOS undergoing IVF-ET treatment: a case-control study.Frontiers in endocrinology · 2025Article
- Early Magnetic Resonance Imaging Measurements and Prediction of Second Trimester Pregnancy Loss: a Nomogram Model Analysis.International journal of women's health · 2024Article
- Contribution of cervical incompetence to occurrence of second trimester abortion in patients with polycystic ovary syndrome during the frozen embryo transfer cycle.Frontiers in endocrinology · 2024Article
- Article
- Dynamic Change of Novel Systemic Inflammation Markers to Predict Maternal-Neonatal Prognosis After Cervical Cerclage.Journal of inflammation research · 2023Article
- The Association of Inflammatory Markers with Maternal-Neonatal Outcome After Cervical Cerclage.Journal of inflammation research · 2023Article
- Identification of risk factors for incident cervical insufficiency in nulliparous and parous women: a population-based case-control study.BMC medicine · 2022Article
- A nomogram to predict extremely preterm birth in women with singleton pregnancies undergoing cervical cerclage.Heliyon · 2022Article
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Authors and funding
6 authors at 4 institutions in 1 country.
Funding
Abstract
backgroundWomen 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
methodsThis retrospective study included 4710 patients who conceived after IVF/ICSI treatment from Jan 2011 to Dec 2018 at a public university hospital. The patients were randomly divided into development (n = 3108) and validation (n = 1602) samples for the building and testing of the nomogram, respectively. Multivariate logistic regression was developed on the basis of pre-pregnancy clinical covariates assessed for their association with CI occurrence.
resultsA total of 109 patients (2.31%) experienced CI among all the enrolled patients. Body mass index (BMI), basal serum testosterone (T), gravidity and uterine length were associated with CI occurrence. The statistical nomogram was built based on BMI, serum T, gravidity and uterine length, with an area under the curve (AUC) of 0.84 (95% confidence interval: 0.76-0.90) for the developing cohort. The AUC for the validation cohort was 0.71 (95% confidence interval: 0.69-0.83), showing a satisfactory goodness-of-fit and discrimination ability in this nomogram.
conclusionThe user-friendly nomogram which graphically represents the risk factors and a pre-pregnancy predicted tool for the incidence of CI in patients undergoing IVF/ICSI treatment, provides a useful guide for medical staff on individualized decisions making, where preventive measures could be carried out during the IVF/ICSI procedure and subsequent pregnancy.
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