Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Borumandnia, Nasrin, Doosti, Hassan, Jalali, Amirhossein, Khodakarim, Soheila, Charati, Jamshid Yazdani, Pourhoseingholi, Mohamad Amin, Talebi, Atefeh, Agah, Shahram
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
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
_version_ 1783734639365455872
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
work_keys_str_mv AT borumandnianasrin nomogramtopredicttheoverallsurvivalofcolorectalcancerpatientsamulticenternationalstudy
AT doostihassan nomogramtopredicttheoverallsurvivalofcolorectalcancerpatientsamulticenternationalstudy
AT jalaliamirhossein nomogramtopredicttheoverallsurvivalofcolorectalcancerpatientsamulticenternationalstudy
AT khodakarimsoheila nomogramtopredicttheoverallsurvivalofcolorectalcancerpatientsamulticenternationalstudy
AT charatijamshidyazdani nomogramtopredicttheoverallsurvivalofcolorectalcancerpatientsamulticenternationalstudy
AT pourhoseingholimohamadamin nomogramtopredicttheoverallsurvivalofcolorectalcancerpatientsamulticenternationalstudy
AT talebiatefeh nomogramtopredicttheoverallsurvivalofcolorectalcancerpatientsamulticenternationalstudy
AT agahshahram nomogramtopredicttheoverallsurvivalofcolorectalcancerpatientsamulticenternationalstudy