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Recent estimates and predictions of 5-year survival rate in patients with pancreatic cancer: A model-based period analysis

BACKGROUND: The 5-year survival rate for pancreatic cancer (PC) is incredibly low, resulting in this often being a fatal disease. Timely and accurate assessment of the survival rate and prognosis of patients with PC is of great significance for the development of new programs for prevention, monitor...

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Autores principales: Li, Jing, Li, Yunmei, Chen, Chong, Guo, Jiayu, Qiao, Mengmeng, Lyu, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9773388/
https://www.ncbi.nlm.nih.gov/pubmed/36569146
http://dx.doi.org/10.3389/fmed.2022.1049136
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author Li, Jing
Li, Yunmei
Chen, Chong
Guo, Jiayu
Qiao, Mengmeng
Lyu, Jun
author_facet Li, Jing
Li, Yunmei
Chen, Chong
Guo, Jiayu
Qiao, Mengmeng
Lyu, Jun
author_sort Li, Jing
collection PubMed
description BACKGROUND: The 5-year survival rate for pancreatic cancer (PC) is incredibly low, resulting in this often being a fatal disease. Timely and accurate assessment of the survival rate and prognosis of patients with PC is of great significance for the development of new programs for prevention, monitoring, and treatment. METHODS: Period analysis and further stratified analysis were used to determine the 5-year relative survival rate (RSR) of patients with PC from 2002 to 2016 using the Surveillance, Epidemiology, and End Results (SEER) project database of the National Cancer Institute. Based on this, a generalized linear model was created to predict the survival rate of patients from 2017 to 2021. RESULT: During 2002–2016, the 5-year RSR of patients with PC increased from 7.9 to 23.7%. The generalized linear model predicted that the survival rate had increased to 33.9% during 2017–2021, and hence, it was still unacceptably low. The survival rate of patients aged ≥75 years at diagnosis was the lowest among all age groups and was predicted to be only 21.4% during 2017–2021. Notably, the survival rate of patients with differentiation grade III at diagnosis remains particularly low at 7.6%. CONCLUSION: The survival rates of patients with PC, although slightly improved, remain extremely low. Timely assessment of the trend of survival rate changes in patients with PC further improves the prognosis of tumor patients and provides data support for relevant medical works to formulate effective tumor prevention and control policies.
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spelling pubmed-97733882022-12-23 Recent estimates and predictions of 5-year survival rate in patients with pancreatic cancer: A model-based period analysis Li, Jing Li, Yunmei Chen, Chong Guo, Jiayu Qiao, Mengmeng Lyu, Jun Front Med (Lausanne) Medicine BACKGROUND: The 5-year survival rate for pancreatic cancer (PC) is incredibly low, resulting in this often being a fatal disease. Timely and accurate assessment of the survival rate and prognosis of patients with PC is of great significance for the development of new programs for prevention, monitoring, and treatment. METHODS: Period analysis and further stratified analysis were used to determine the 5-year relative survival rate (RSR) of patients with PC from 2002 to 2016 using the Surveillance, Epidemiology, and End Results (SEER) project database of the National Cancer Institute. Based on this, a generalized linear model was created to predict the survival rate of patients from 2017 to 2021. RESULT: During 2002–2016, the 5-year RSR of patients with PC increased from 7.9 to 23.7%. The generalized linear model predicted that the survival rate had increased to 33.9% during 2017–2021, and hence, it was still unacceptably low. The survival rate of patients aged ≥75 years at diagnosis was the lowest among all age groups and was predicted to be only 21.4% during 2017–2021. Notably, the survival rate of patients with differentiation grade III at diagnosis remains particularly low at 7.6%. CONCLUSION: The survival rates of patients with PC, although slightly improved, remain extremely low. Timely assessment of the trend of survival rate changes in patients with PC further improves the prognosis of tumor patients and provides data support for relevant medical works to formulate effective tumor prevention and control policies. Frontiers Media S.A. 2022-12-08 /pmc/articles/PMC9773388/ /pubmed/36569146 http://dx.doi.org/10.3389/fmed.2022.1049136 Text en Copyright © 2022 Li, Li, Chen, Guo, Qiao and Lyu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Medicine
Li, Jing
Li, Yunmei
Chen, Chong
Guo, Jiayu
Qiao, Mengmeng
Lyu, Jun
Recent estimates and predictions of 5-year survival rate in patients with pancreatic cancer: A model-based period analysis
title Recent estimates and predictions of 5-year survival rate in patients with pancreatic cancer: A model-based period analysis
title_full Recent estimates and predictions of 5-year survival rate in patients with pancreatic cancer: A model-based period analysis
title_fullStr Recent estimates and predictions of 5-year survival rate in patients with pancreatic cancer: A model-based period analysis
title_full_unstemmed Recent estimates and predictions of 5-year survival rate in patients with pancreatic cancer: A model-based period analysis
title_short Recent estimates and predictions of 5-year survival rate in patients with pancreatic cancer: A model-based period analysis
title_sort recent estimates and predictions of 5-year survival rate in patients with pancreatic cancer: a model-based period analysis
topic Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9773388/
https://www.ncbi.nlm.nih.gov/pubmed/36569146
http://dx.doi.org/10.3389/fmed.2022.1049136
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