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16-02-2023 | Colorectal Cancer | Original Article

Prognostic Nomogram for Colorectal Cancer Patients After Surgery

Authors: Pengqiang Zhong, Jiali Wu, Xingxing Yan, Yin Liu, Ruizhi Wang, Dong Wang

Published in: Indian Journal of Surgery | Issue 5/2023

Abstract

To construct a nomogram for overall survival (OS) in colorectal cancer. Using Cox univariate and multivariate analysis, significant variables were plotted into a nomogram. The predictive accuracy and discriminative ability of the nomogram was determined using the concordance index (C-index), receiver operator characteristic curve and calibration curve. CA125 and tumor node metastasis (TNM) were identified as independent predictors for OS in colorectal cancer patients. Area under the curve (AUC) for 1, 3, and 5 years was 0.89, 0.723, and 0.71 respectively in primary cohort, and C-index was 0.702 (95% CI, 0.610 to 0.794) in validation cohort, which indicated a middle degree of accuracy. High-quality calibration plots were seen in the OS nomogram models. Age, CA125, and TNM were identified as poor predictors of colorectal cancer. This nomogram is a valuable predictive tool for the prognosis of colorectal cancer.

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Title: Prognostic Nomogram for Colorectal Cancer Patients After Surgery
Authors: Pengqiang Zhong
Jiali Wu
Xingxing Yan
Yin Liu
Ruizhi Wang
Dong Wang
Publication date: 16-02-2023
Publisher: Springer India
Keywords: Colorectal Cancer
Colorectal Cancer
Published in: Indian Journal of Surgery / Issue 5/2023
Print ISSN: 0972-2068
Electronic ISSN: 0973-9793
DOI: https://doi.org/10.1007/s12262-023-03712-4

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Prognostic Nomogram for Colorectal Cancer Patients After Surgery

Abstract

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Abstract

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