Publications by authors named "C Van Holsbeke"
Background: Prematurity remains one of the main causes of neonatal morbidity and mortality. Approximately two thirds of preterm births are spontaneous, i.e.
View Article and Find Full Text PDFStudy protocol for two randomised controlled trials evaluating the effects of Cerclage in the reduction of extreme preterm birth and perinatal mortality in twin pregnancies with a short cervix or dilatation: the TWIN Cerclage studies.
BMJ Open
May 2024
Article Synopsis
- Twin pregnancies face a high risk of extreme preterm birth (PTB) under 28 weeks, linked to serious health issues for newborns, and current treatments are limited.
- A potential solution is the placement of a vaginal cerclage for women with a short cervix or cervical dilatation, aiming to reduce the chances of extreme PTB.
- Two multicenter trials are planned in the Netherlands to evaluate the effectiveness of vaginal cerclage compared to standard care in these women, with specific recruitment goals and an analysis of costs and outcomes.
Background: Postpartum weight retention (PPWR) has many health risks. Digital self-monitoring of weight can potentially make postpartum weight management easier. We aim to test to what extent the self-monitoring of weight, steps and mental health through an mHealth application increases postpartum weight loss and reduces the odds of substantial PPWR (≥5 kg).
View Article and Find Full Text PDFArticle Synopsis
- This study compares two diagnostic models, ADNEX and ROMA, used to identify whether adnexal masses (tumors near the ovaries) are benign or malignant.
- The research included 894 women undergoing surgery for adnexal tumors and found that ADNEX outperformed ROMA in terms of accuracy, particularly when combined with the biomarker CA125.
- The results indicate that ADNEX not only provided better discrimination between tumor types but also had greater clinical utility, making it a more effective tool for clinicians in practice.
Background: Assessing malignancy risk is important to choose appropriate management of ovarian tumors. We compared six algorithms to estimate the probabilities that an ovarian tumor is benign, borderline malignant, stage I primary invasive, stage II-IV primary invasive, or secondary metastatic.
Methods: This retrospective cohort study used 5909 patients recruited from 1999 to 2012 for model development, and 3199 patients recruited from 2012 to 2015 for model validation.