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.
Dahlgren
E
E
Department of Obstetrics and Gynecology, University of Göteborg, Sweden.
Johansson
S
S
Odén
A
A
Lindström
B
B
Janson
P O
PO
D000328:Adult; D015992:Body Mass Index; D016022:Case-Control Studies; D003920:Diabetes Mellitus / Q000453:epidemiology; D016889:Endometrial Neoplasms / Q000453:epidemiology*; D005260:Female; D006628:Hirsutism / Q000453:epidemiology; D006801:Humans; D008599:Menstruation Disturbances / Q000453:epidemiology; D008875:Middle Aged; D015233:Models, Statistical; D010298:Parity; D011446:Prospective Studies; D012044:Regression Analysis; D012189:Retrospective Studies; D012307:Risk Factors; D012907:Smoking / Q000453:epidemiology