Ontology highlight
ABSTRACT: Objective
To evaluate the performance of diagnostic prediction models for ovarian malignancy in all patients with an ovarian mass managed surgically or conservatively.Design
Multicentre cohort study.Setting
36 oncology referral centres (tertiary centres with a specific gynaecological oncology unit) or other types of centre.Participants
Consecutive adult patients presenting with an adnexal mass between January 2012 and March 2015 and managed by surgery or follow-up.Main outcome measures
Overall and centre specific discrimination, calibration, and clinical utility of six prediction models for ovarian malignancy (risk of malignancy index (RMI), logistic regression model 2 (LR2), simple rules, simple rules risk model (SRRisk), assessment of different neo
SUBMITTER: Van Calster B
PROVIDER: S-EPMC7391073 | biostudies-literature | 2020 Jul
REPOSITORIES: biostudies-literature