Open AccessA Model For Prediction Of Endometrial Cancer
Author(s) -
Dahlgren E.,
Johansson S.,
Odén A.,
Lindström B.,
Janson P. O.
Publication year - 1989
Publication title -
acta obstetricia et gynecologica scandinavica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.401
H-Index - 102
eISSN - 1600-0412
pISSN - 0001-6349
DOI - 10.1111/j.1600-0412.1989.tb07827.x
Subject(s) - medicine , logistic regression , endometrial cancer , body mass index , parity (physics) , diabetes mellitus , epidemiology , stepwise regression , gynecology , hirsutism , obstetrics , cancer , endocrinology , polycystic ovary , insulin resistance , physics , particle physics
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.