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Nomogram to Predict the Overall Survival of Colorectal Cancer Patients: A Multicenter National Study
Background: Colorectal cancer (CRC) is the third foremost cause of cancer-related death and the fourth most commonly diagnosed cancer globally. The study aimed to evaluate the survival predictors using the Cox Proportional Hazards (CPH) and established a novel nomogram to predict the Overall Surviva...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8345484/ https://www.ncbi.nlm.nih.gov/pubmed/34360026 http://dx.doi.org/10.3390/ijerph18157734 |
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author | Borumandnia, Nasrin Doosti, Hassan Jalali, Amirhossein Khodakarim, Soheila Charati, Jamshid Yazdani Pourhoseingholi, Mohamad Amin Talebi, Atefeh Agah, Shahram |
author_facet | Borumandnia, Nasrin Doosti, Hassan Jalali, Amirhossein Khodakarim, Soheila Charati, Jamshid Yazdani Pourhoseingholi, Mohamad Amin Talebi, Atefeh Agah, Shahram |
author_sort | Borumandnia, Nasrin |
collection | PubMed |
description | Background: Colorectal cancer (CRC) is the third foremost cause of cancer-related death and the fourth most commonly diagnosed cancer globally. The study aimed to evaluate the survival predictors using the Cox Proportional Hazards (CPH) and established a novel nomogram to predict the Overall Survival (OS) of the CRC patients. Materials and methods: A historical cohort study, included 1868 patients with CRC, was performed using medical records gathered from Iran’s three tertiary colorectal referral centers from 2006 to 2019. Two datasets were considered as train set and one set as the test set. First, the most significant prognostic risk factors on survival were selected using univariable CPH. Then, independent prognostic factors were identified to construct a nomogram using the multivariable CPH regression model. The nomogram performance was assessed by the concordance index (C-index) and the time-dependent area under the ROC curve. Results: The age of patients, body mass index (BMI), family history, tumor grading, tumor stage, primary site, diabetes history, T stage, N stage, and type of treatment were considered as significant predictors of CRC patients in univariable CPH model (p < 0.2). The multivariable CPH model revealed that BMI, family history, grade and tumor stage were significant (p < 0.05). The C-index in the train data was 0.692 (95% CI, 0.650–0.734), as well as 0.627 (0.670, 0.686) in the test data. Conclusion: We improved a novel nomogram diagram according to factors for predicting OS in CRC patients, which could assist clinical decision-making and prognosis predictions in patients with CRC. |
format | Online Article Text |
id | pubmed-8345484 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-83454842021-08-07 Nomogram to Predict the Overall Survival of Colorectal Cancer Patients: A Multicenter National Study Borumandnia, Nasrin Doosti, Hassan Jalali, Amirhossein Khodakarim, Soheila Charati, Jamshid Yazdani Pourhoseingholi, Mohamad Amin Talebi, Atefeh Agah, Shahram Int J Environ Res Public Health Article Background: Colorectal cancer (CRC) is the third foremost cause of cancer-related death and the fourth most commonly diagnosed cancer globally. The study aimed to evaluate the survival predictors using the Cox Proportional Hazards (CPH) and established a novel nomogram to predict the Overall Survival (OS) of the CRC patients. Materials and methods: A historical cohort study, included 1868 patients with CRC, was performed using medical records gathered from Iran’s three tertiary colorectal referral centers from 2006 to 2019. Two datasets were considered as train set and one set as the test set. First, the most significant prognostic risk factors on survival were selected using univariable CPH. Then, independent prognostic factors were identified to construct a nomogram using the multivariable CPH regression model. The nomogram performance was assessed by the concordance index (C-index) and the time-dependent area under the ROC curve. Results: The age of patients, body mass index (BMI), family history, tumor grading, tumor stage, primary site, diabetes history, T stage, N stage, and type of treatment were considered as significant predictors of CRC patients in univariable CPH model (p < 0.2). The multivariable CPH model revealed that BMI, family history, grade and tumor stage were significant (p < 0.05). The C-index in the train data was 0.692 (95% CI, 0.650–0.734), as well as 0.627 (0.670, 0.686) in the test data. Conclusion: We improved a novel nomogram diagram according to factors for predicting OS in CRC patients, which could assist clinical decision-making and prognosis predictions in patients with CRC. MDPI 2021-07-21 /pmc/articles/PMC8345484/ /pubmed/34360026 http://dx.doi.org/10.3390/ijerph18157734 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Borumandnia, Nasrin Doosti, Hassan Jalali, Amirhossein Khodakarim, Soheila Charati, Jamshid Yazdani Pourhoseingholi, Mohamad Amin Talebi, Atefeh Agah, Shahram Nomogram to Predict the Overall Survival of Colorectal Cancer Patients: A Multicenter National Study |
title | Nomogram to Predict the Overall Survival of Colorectal Cancer Patients: A Multicenter National Study |
title_full | Nomogram to Predict the Overall Survival of Colorectal Cancer Patients: A Multicenter National Study |
title_fullStr | Nomogram to Predict the Overall Survival of Colorectal Cancer Patients: A Multicenter National Study |
title_full_unstemmed | Nomogram to Predict the Overall Survival of Colorectal Cancer Patients: A Multicenter National Study |
title_short | Nomogram to Predict the Overall Survival of Colorectal Cancer Patients: A Multicenter National Study |
title_sort | nomogram to predict the overall survival of colorectal cancer patients: a multicenter national study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8345484/ https://www.ncbi.nlm.nih.gov/pubmed/34360026 http://dx.doi.org/10.3390/ijerph18157734 |
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