Figure 3 from A Urinary Three-Metabolite Signature Enables Noninvasive Identification of Patients with High-Risk Ovarian Cancer
Year: 2026
Type: other
Abstract: Identification of an optimized three-metabolite signature. A, Representation of stepwise model construction, comparing nested Cox models and ROC performance. B, Time-dependent ROC curves of the clinical model (model 1), extended model (model 2: clinical +5 metabolites), and optimized model (model 3: clinical + glycine, alanine, citrate). AUC values indicate discriminatory performance for 60-month OS. To account for individuals censored before 60 months, AUC estimates were calculated using the inverse probability of censoring weighting method. Analysis was restricted to the complete-case cohort. (A, Image created with BioRender.com. Schwarz, F. [2026] https://BioRender.com/jd4n0h0.)
Language: English
Subfield: Reproductive Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: gold
OpenAlex ID: W7169551193