View clinical trials related to Polycystic Ovary.
Filter by:Objective: To study the influence of metabolic factors on the action of progesterone on the endometrium of women with PCOS. Design: A prospective open-label clinical trial. Setting: Participants were recruited from an outpatient reproductive endocrinology clinic at an academic tertiary medical care center from 2014 to 2019. Subjects: To assess the sole effect of progesterone (P4) on the endometrium we studied amenorrheic (cycles> 90 days) women with PCOS (n=23), comparing them to healthy eumenorrheic control women ( n=13). Intervention(s): All subjects underwent an endometrial biopsy (EB) in the follicular phase of the first study cycle. They were then treated with micronized P4 (400 mg/day x 10 days intravaginally) from days 14-28 of the cycle, and a second EB was performed between days 20-24 of the cycle (second phase). Main Outcome Measure(s): EB samples were analyzed under light microscopy for histomorphometric analysis.
This is an original study giving an information about the association body mass index, polycystic ovary syndrome and betatrophin.
The results of the evaluation of breast ultrasonography results of patients with polycystic ovary syndrome diagnosis over 30 years of age will be evaluated. Patients admitted to the outpatient clinic and rotterdam criteria according to laboratory data and polycystic ovary syndrome patients diagnosed by the same radiologist the next day after the end of menstrual breast ultrasonography. The aim of this study is to show the association of polycystic ovary syndrome and fibrocystic breast.
Women with at least one uterine leiomyoma and polycystic ovary syndrome over 10 mm and women with normal ultrasonographic findings were included in the study. Blood samples were taken for biochemical analysis such as vitamin D, calcium, magnesium, phosphorus, thyroid stimulating hormone (TSH), hemoglobin (hb), hematocrit (htc), platelet (plt), and albumin. The study groups were compared in terms of these biochemical markers and family history of patients, daily sunshine hours, clothing preferences and education level.