Cargando…

Survival analysis in gastric cancer: a multi-center study among Iranian patients

BACKGROUND: Gastric cancer (GC) has been considered as the 5th most common type of cancer and the third leading cause of cancer-associated death worldwide. The aim of this historical cohort study was to evaluate the survival predictors for all patients with GC using the Cox proportional hazards, ext...

Descripción completa

Detalles Bibliográficos
Autores principales: Talebi, Atefeh, Mohammadnejad, Afsaneh, Akbari, Abolfazl, Pourhoseingholi, Mohamad Amin, Doosti, Hassan, Moghimi-Dehkordi, Bijan, Agah, Shahram, Bahardoust, Mansour
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7359591/
https://www.ncbi.nlm.nih.gov/pubmed/32660458
http://dx.doi.org/10.1186/s12893-020-00816-6
_version_ 1783559081058893824
author Talebi, Atefeh
Mohammadnejad, Afsaneh
Akbari, Abolfazl
Pourhoseingholi, Mohamad Amin
Doosti, Hassan
Moghimi-Dehkordi, Bijan
Agah, Shahram
Bahardoust, Mansour
author_facet Talebi, Atefeh
Mohammadnejad, Afsaneh
Akbari, Abolfazl
Pourhoseingholi, Mohamad Amin
Doosti, Hassan
Moghimi-Dehkordi, Bijan
Agah, Shahram
Bahardoust, Mansour
author_sort Talebi, Atefeh
collection PubMed
description BACKGROUND: Gastric cancer (GC) has been considered as the 5th most common type of cancer and the third leading cause of cancer-associated death worldwide. The aim of this historical cohort study was to evaluate the survival predictors for all patients with GC using the Cox proportional hazards, extended Cox, and gamma-frailty models. METHODS: This historical cohort study was performed according to documents of 1695 individuals having GC referred to three medical centers in Iran from 2001 to 2018. First, most significant prognostic risk factors on survival were selected, Cox proportional hazards, extended Cox, gamma-frailty models were applied to evaluate the effects of the risk factors, and then these models were compared with the Akaike information criterion. RESULTS: The age of patients, body mass index (BMI), tumor size, type of treatment and grade of the tumor increased the hazard rate (HR) of GC patients in both the Cox and frailty models (P < 0.05). Also, the size of the tumor and BMI were considered as time-varying variables in the extended Cox model. Moreover, the frailty model showed that there is at least an unknown factor, genetic or environmental factors, in the model that is not measured (P < 0.05). CONCLUSIONS: Some prognostic factors, including age, tumor size, the grade of the tumor, type of treatment and BMI, were regarded as indispensable predictors in patients of GC. Frailty model revealed that there are unknown or latent factors, genetic and environmental factors, resulting in the biased estimates of the regression coefficients.
format Online
Article
Text
id pubmed-7359591
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-73595912020-07-17 Survival analysis in gastric cancer: a multi-center study among Iranian patients Talebi, Atefeh Mohammadnejad, Afsaneh Akbari, Abolfazl Pourhoseingholi, Mohamad Amin Doosti, Hassan Moghimi-Dehkordi, Bijan Agah, Shahram Bahardoust, Mansour BMC Surg Research Article BACKGROUND: Gastric cancer (GC) has been considered as the 5th most common type of cancer and the third leading cause of cancer-associated death worldwide. The aim of this historical cohort study was to evaluate the survival predictors for all patients with GC using the Cox proportional hazards, extended Cox, and gamma-frailty models. METHODS: This historical cohort study was performed according to documents of 1695 individuals having GC referred to three medical centers in Iran from 2001 to 2018. First, most significant prognostic risk factors on survival were selected, Cox proportional hazards, extended Cox, gamma-frailty models were applied to evaluate the effects of the risk factors, and then these models were compared with the Akaike information criterion. RESULTS: The age of patients, body mass index (BMI), tumor size, type of treatment and grade of the tumor increased the hazard rate (HR) of GC patients in both the Cox and frailty models (P < 0.05). Also, the size of the tumor and BMI were considered as time-varying variables in the extended Cox model. Moreover, the frailty model showed that there is at least an unknown factor, genetic or environmental factors, in the model that is not measured (P < 0.05). CONCLUSIONS: Some prognostic factors, including age, tumor size, the grade of the tumor, type of treatment and BMI, were regarded as indispensable predictors in patients of GC. Frailty model revealed that there are unknown or latent factors, genetic and environmental factors, resulting in the biased estimates of the regression coefficients. BioMed Central 2020-07-13 /pmc/articles/PMC7359591/ /pubmed/32660458 http://dx.doi.org/10.1186/s12893-020-00816-6 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Talebi, Atefeh
Mohammadnejad, Afsaneh
Akbari, Abolfazl
Pourhoseingholi, Mohamad Amin
Doosti, Hassan
Moghimi-Dehkordi, Bijan
Agah, Shahram
Bahardoust, Mansour
Survival analysis in gastric cancer: a multi-center study among Iranian patients
title Survival analysis in gastric cancer: a multi-center study among Iranian patients
title_full Survival analysis in gastric cancer: a multi-center study among Iranian patients
title_fullStr Survival analysis in gastric cancer: a multi-center study among Iranian patients
title_full_unstemmed Survival analysis in gastric cancer: a multi-center study among Iranian patients
title_short Survival analysis in gastric cancer: a multi-center study among Iranian patients
title_sort survival analysis in gastric cancer: a multi-center study among iranian patients
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7359591/
https://www.ncbi.nlm.nih.gov/pubmed/32660458
http://dx.doi.org/10.1186/s12893-020-00816-6
work_keys_str_mv AT talebiatefeh survivalanalysisingastriccanceramulticenterstudyamongiranianpatients
AT mohammadnejadafsaneh survivalanalysisingastriccanceramulticenterstudyamongiranianpatients
AT akbariabolfazl survivalanalysisingastriccanceramulticenterstudyamongiranianpatients
AT pourhoseingholimohamadamin survivalanalysisingastriccanceramulticenterstudyamongiranianpatients
AT doostihassan survivalanalysisingastriccanceramulticenterstudyamongiranianpatients
AT moghimidehkordibijan survivalanalysisingastriccanceramulticenterstudyamongiranianpatients
AT agahshahram survivalanalysisingastriccanceramulticenterstudyamongiranianpatients
AT bahardoustmansour survivalanalysisingastriccanceramulticenterstudyamongiranianpatients