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Overall survival and prognostic factors prostate cancer in Kurdistan Province-Iran: a population-based study (2011-2018)

BACKGROUND: The population-based survival rate is affected by the quality and effectiveness of health care systems. Overall, the survival of prostate cancer (PC) patients has improved over the past two decades worldwide. This study aimed to determine the overall survival rate and correlate it with t...

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Autores principales: Rasouli, Mohammad Aziz, Moradi, Ghobad, Zareie, Bushra, Sofimajidpour, Heshmatollah, Tozandehjani, Sima, Zafari, Hedyeh, Gholami, Fatemeh, Shahsavari, Sonia, Hassani, Parisa, Mohammadian, Mahshid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8653556/
https://www.ncbi.nlm.nih.gov/pubmed/34876069
http://dx.doi.org/10.1186/s12885-021-09078-8
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author Rasouli, Mohammad Aziz
Moradi, Ghobad
Zareie, Bushra
Sofimajidpour, Heshmatollah
Tozandehjani, Sima
Zafari, Hedyeh
Gholami, Fatemeh
Shahsavari, Sonia
Hassani, Parisa
Mohammadian, Mahshid
author_facet Rasouli, Mohammad Aziz
Moradi, Ghobad
Zareie, Bushra
Sofimajidpour, Heshmatollah
Tozandehjani, Sima
Zafari, Hedyeh
Gholami, Fatemeh
Shahsavari, Sonia
Hassani, Parisa
Mohammadian, Mahshid
author_sort Rasouli, Mohammad Aziz
collection PubMed
description BACKGROUND: The population-based survival rate is affected by the quality and effectiveness of health care systems. Overall, the survival of prostate cancer (PC) patients has improved over the past two decades worldwide. This study aimed to determine the overall survival rate and correlate it with the prognostic factors in patients with PC diagnosed in Kurdistan province. METHODS: In a retrospective cohort study, 410 PC patients registered in Kurdistan province population-based cancer registry from March 2011 to 2018 were recruited. Kaplan–Meier method and log-rank test were used to analyze the overall survival rates of PC patients. A Multivariate Cox regression model was used to determine adjusted hazard ratios for different variables. RESULTS: Of 410 patients with PC, 263 (64.1%) died within seven years due to the disease. The 1, 3, and 5 years survival rates were 93, 64.1, and 40.7%, respectively. According to the results of multiple Cox regression, the following factors were significantly related to PC survival: age at diagnosis (≥81-years old) (HR=2.23, 95% CI: 1.23-4.42) and 71-80 years old was (HR=1.26, 95% CI: 1.12-2.31), occupation (employee) (HR=0.42, 95% CI: 0.20–0.87), educational level: academic (HR=0.78, 95% CI: 0.64–0.91), AJCC stage of disease (HR=2.18, 95% CI: 1.9–3.68), Gleason score ≥ 9 (HR=7.12, 95% CI: 5.35–10.28), and Gleason score= 8 (HR=4.16, 95% CI: 2.50–6.93). There was less mortality rate among the patients who had received active care, radical prostatectomy, radiotherapy, combined treatment, and orchiectomy had a lower mortality rate than those who received no treatment (P<0.05). CONCLUSIONS: This study demonstrated that factors such as age at diagnosis, level of education, occupation, AJCC stage of disease, Gleason score, and type of treatments were influential factors in the survival of PC patients in Kurdistan province and needed more attention.
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spelling pubmed-86535562021-12-08 Overall survival and prognostic factors prostate cancer in Kurdistan Province-Iran: a population-based study (2011-2018) Rasouli, Mohammad Aziz Moradi, Ghobad Zareie, Bushra Sofimajidpour, Heshmatollah Tozandehjani, Sima Zafari, Hedyeh Gholami, Fatemeh Shahsavari, Sonia Hassani, Parisa Mohammadian, Mahshid BMC Cancer Research BACKGROUND: The population-based survival rate is affected by the quality and effectiveness of health care systems. Overall, the survival of prostate cancer (PC) patients has improved over the past two decades worldwide. This study aimed to determine the overall survival rate and correlate it with the prognostic factors in patients with PC diagnosed in Kurdistan province. METHODS: In a retrospective cohort study, 410 PC patients registered in Kurdistan province population-based cancer registry from March 2011 to 2018 were recruited. Kaplan–Meier method and log-rank test were used to analyze the overall survival rates of PC patients. A Multivariate Cox regression model was used to determine adjusted hazard ratios for different variables. RESULTS: Of 410 patients with PC, 263 (64.1%) died within seven years due to the disease. The 1, 3, and 5 years survival rates were 93, 64.1, and 40.7%, respectively. According to the results of multiple Cox regression, the following factors were significantly related to PC survival: age at diagnosis (≥81-years old) (HR=2.23, 95% CI: 1.23-4.42) and 71-80 years old was (HR=1.26, 95% CI: 1.12-2.31), occupation (employee) (HR=0.42, 95% CI: 0.20–0.87), educational level: academic (HR=0.78, 95% CI: 0.64–0.91), AJCC stage of disease (HR=2.18, 95% CI: 1.9–3.68), Gleason score ≥ 9 (HR=7.12, 95% CI: 5.35–10.28), and Gleason score= 8 (HR=4.16, 95% CI: 2.50–6.93). There was less mortality rate among the patients who had received active care, radical prostatectomy, radiotherapy, combined treatment, and orchiectomy had a lower mortality rate than those who received no treatment (P<0.05). CONCLUSIONS: This study demonstrated that factors such as age at diagnosis, level of education, occupation, AJCC stage of disease, Gleason score, and type of treatments were influential factors in the survival of PC patients in Kurdistan province and needed more attention. BioMed Central 2021-12-08 /pmc/articles/PMC8653556/ /pubmed/34876069 http://dx.doi.org/10.1186/s12885-021-09078-8 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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
Rasouli, Mohammad Aziz
Moradi, Ghobad
Zareie, Bushra
Sofimajidpour, Heshmatollah
Tozandehjani, Sima
Zafari, Hedyeh
Gholami, Fatemeh
Shahsavari, Sonia
Hassani, Parisa
Mohammadian, Mahshid
Overall survival and prognostic factors prostate cancer in Kurdistan Province-Iran: a population-based study (2011-2018)
title Overall survival and prognostic factors prostate cancer in Kurdistan Province-Iran: a population-based study (2011-2018)
title_full Overall survival and prognostic factors prostate cancer in Kurdistan Province-Iran: a population-based study (2011-2018)
title_fullStr Overall survival and prognostic factors prostate cancer in Kurdistan Province-Iran: a population-based study (2011-2018)
title_full_unstemmed Overall survival and prognostic factors prostate cancer in Kurdistan Province-Iran: a population-based study (2011-2018)
title_short Overall survival and prognostic factors prostate cancer in Kurdistan Province-Iran: a population-based study (2011-2018)
title_sort overall survival and prognostic factors prostate cancer in kurdistan province-iran: a population-based study (2011-2018)
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8653556/
https://www.ncbi.nlm.nih.gov/pubmed/34876069
http://dx.doi.org/10.1186/s12885-021-09078-8
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