The review investigates the reasons behind why infertile patients discontinue fertility treatments, noting that such discontinuation can hinder their chances of parenthood and lead to wasted medical resources.
It analyzes 37 studies involving nearly 42,000 patients across 13 countries, which identified 42 different factors influencing treatment discontinuation—most related to patients themselves.
Key findings report that higher education, social support, and insurance coverage are linked to lower discontinuation rates, while factors like longer infertility duration, male infertility, and mental health issues increase the likelihood of discontinuation.
The study aimed to develop a nomogram using clinical markers to predict the malignancy of ovarian tumors in patients.
A total of 1,268 patients with surgically removed ovarian tumors were analyzed for various clinical markers, leading to the identification of significant predictors like post-menopausal status and the ROMA index.
The resulting nomogram model demonstrated better predictive accuracy for ovarian tumor malignancy compared to traditional markers such as CA125 and HE4.