A model for prediction of endometrial cancer

An epidemiological statistical model was designed to identify women at low and high risk of developing endometrial cancer (EC). The model was based on a number of easily identified clinical factors such as hirsutism, parity, diabetes mellitus, body mass index (BMI) and smoking. A retrospectively collected series of 77 women aged 31 to 45 years with EC and a prospectively collected series of 122 women aged 43 to 70 years with EC were compared with 1409 controls. The participation frequencies in the two case materials were 83 and 87%, respectively. The series were examined by means of a questionnaire. In a stepwise multiple logistic regression analysis of the entire series the following variables were found to be significant; hirsutism, parity, BMI, diabetes mellitus and smoking.