Dahlgren E, Johansson S, Odén A, Lindström B, Janson P O
Department of Obstetrics and Gynecology, University of Göteborg, Sweden.
Acta Obstet Gynecol Scand. 1989;68(6):507-10.
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.
设计了一种流行病学统计模型，以识别患子宫内膜癌（EC）风险低和高的女性。该模型基于一些易于识别的临床因素，如多毛症、产次、糖尿病、体重指数（BMI）和吸烟。将回顾性收集的77名年龄在31至45岁的EC女性系列和前瞻性收集的122名年龄在43至70岁的EC女性系列与1409名对照进行比较。两份病例材料中的参与频率分别为83%和87%。通过问卷调查对这些系列进行了检查。在对整个系列进行的逐步多元逻辑回归分析中，发现以下变量具有显著性：多毛症、产次、BMI、糖尿病和吸烟。
