Literature DB >> 32889324

Predict overall survival of spinal conventional chordoma: Development and assessment of a new predictive nomogram.

Kaiyuan Lin1, Kehan Song2, Shengxing Wang3, Libo Jiang3, Huiren Wang4, Jian Dong5.   

Abstract

OBJECTIVE: To predict the 5-year overall survival (OS) rate in patients with conventional chordoma of the spine PATIENTS AND METHODS: The Surveillance, Epidemiology, and End Results (SEER) Registry was used to identify patients with conventional chordoma of the spine from 1994 to 2013. The entire cohort(n = 294) was randomly divided into training (n = 147) and validation (n = 147) cohorts to construct a nomogram. We used the univariate Log-rank test and multivariate Cox model to examine the independent prognostic factors associated with OS. These prognostic factors were integrated to construct a nomogram through R studio. The predictive and validating capacity of the nomogram was calculated by Harrell's concordance index (C-index) and calibration curves.
RESULTS: A total of 294 patients were identified with conventional chordoma of the spine. The patients' age at diagnosis, tumor size, EOD (extent of disease), and treatment were independent prognostic factors and associated with OS. These prognostic factors were incorporated to construct a nomogram. The concordance index for the nomogram was 0.771 and 0.732 in the training cohort and validation cohort, respectively. Internal and external calibration curves for 5-year OS showed excellent matching between nomogram prediction and observed outcomes.
CONCLUSIONS: The findings of this study provide population-based estimates of patients with conventional chordoma of the spine. Using this nomogram, surgeons can classify patients into different risk groups and achieve individualized treatment.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Conventional chordoma; Nomogram; Overall survival; SEER; Spine

Mesh:

Year:  2020        PMID: 32889324     DOI: 10.1016/j.clineuro.2020.106174

Source DB:  PubMed          Journal:  Clin Neurol Neurosurg        ISSN: 0303-8467            Impact factor:   1.876


  1 in total

1.  A Novel Nomogram for Predicting Cancer-Specific Survival in Patients With Spinal Chordoma: A Population-Based Analysis.

Authors:  Zhangheng Huang; Zhiyi Fan; Chengliang Zhao; He Sun
Journal:  Technol Cancer Res Treat       Date:  2021 Jan-Dec
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.