Ontology highlight
ABSTRACT: Importance
Endometrial carcinoma (EC) is the most commonly diagnosed gynecologic cancer. Its early detection is advisable because 20% of women have advanced disease at the time of diagnosis.Objective
To clinically validate a metabolomics-based classification algorithm as a screening test for EC.Design, setting, and participants
This diagnostic study enrolled 2 cohorts. A multicenter prospective cohort, with 50 cases (postmenopausal women with EC; International Federation of Gynecology and Obstetrics stage I-III and grade G1-G3) and 70 controls (no EC but matched on age, years from menopause, tobacco use, and comorbidities), was used to train multiple classification models. The accuracy of each trained model was then used as a statistical weight to produce an ensembl
SUBMITTER: Troisi J
PROVIDER: S-EPMC7522698 | biostudies-literature | 2020 Sep
REPOSITORIES: biostudies-literature