Figure - PMC

Skip to main content

An official website of the United States government

Here's how you know

Here's how you know

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

View full-text article in PMC

. 2019 Apr 10;11:2691–2708. doi: 10.2147/CMAR.S191287

Search in PMC
Search in PubMed
View in NLM Catalog
Add to search

© 2019 Xiao et al.

This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).

PMC Copyright notice

Curves for OS and CSS in the entire SEER cohort (A and B) and curves for OS (C) and CSS (D) in the external validation cohort based on risk stratification by the nomogram models. DCA of the predictive nomograms and single factor models (TNM stage, histological grade and tumor size). The nomograms were compared against single factor models in terms of 1- and 3-year OS (E and F) and CSS (H and I). Clinical impact curves of the nomograms for OS (G) and CSS (J) in patients with HCC in the SEER discovery set. (E–H) Dashed lines indicate the net benefit of the models across a range of threshold probabilities. The horizontal solid black line represents the hypothesis that no patients reached the endpoint, and the solid gray line represents the hypothesis that all patients reached the endpoint. (G and J) At different threshold probabilities within a given population, the number of high-risk patients and the number of high-risk patients with the outcome were plotted.