A novel approach to the analysis of risk factors in endometrial carcinoma

Early diagnosis of endometrial carcinoma enables one to achieve a cure rate of 80%. The purpose of this study is to characterize the patients who are prone to develop adenocarcinoma by simple epidemiologic and clinical data. The data of 109 consecutive patients who developed adenocarcinoma were compared with those of 146 control hysterectomy patients using logistic regression analysis. The following characteristics of patients who developed adenocarcinoma were identified: parity ( P < 0.0001), diabetes mellitus ( P < 0.003), hypertension ( P < 0.0001), obesity ( P < 0.0006), treatment with exogenous estrogen ( P < 0.001), and second primary tumor. The logistic regression formula classified correctly 77% of all patients to their actual group. The study showed that the relative risk of a patient to develop adenocarcinoma can be estimated from simple and readily available epidemiologic and clinical data.