Open AccessDevelopment and validation of nomograms for epithelial ovarian cancer: a SEER population-based, real-world study
Author(s) -
Ruiqi Wang,
Gongnan Xie,
Li Shang,
Cuifang Qi,
Lei Yang,
Liyan Huang,
Danyang Li,
Wenfang Yang
Publication year - 2021
Publication title -
future oncology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.857
H-Index - 72
eISSN - 1744-8301
pISSN - 1479-6694
DOI - 10.2217/fon-2020-0531
Subject(s) - nomogram , medicine , concordance , oncology , ovarian cancer , epithelial ovarian cancer , statistic , cohort , population , clinical trial , cancer , statistics , mathematics , environmental health
Aim: To develop and internally validate nomograms to predict the overall survival (OS) and the cancer-specific survival (CSS) of patients with epithelial ovarian cancer (EOC). Methods: A total of 9001 EOC patients diagnosed between 2010 and 2013 were randomly divided into the training (n = 6301) and validation (n = 2700) cohorts. Nomogram and bootstrap validation were used to assess the predictive values of the models, including discrimination, calibration and clinical benefit. Results: In the validation cohort, the concordance statistic values were 0.733 for OS and 0.747 for CSS. Calibration plots and decision curve analyses demonstrated moderate accuracy and clinical applicability. Conclusion: Nomograms were user-friendly tools for guiding clinical treatment and estimating prognosis.