The relative survival and cure fraction of gastric cancer estimated through flexible parametric models using data from population‐based cancer registration during 2003‐2012 in Linzhou, China
Abstract Purpose The proportion of cured gastric cancer patients has drawn the attention of patients, physicians, and healthcare providers after comprehensive prevention and control measures were carried out for several years. Therefore, the relative survival and cure fraction were estimated in our...
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doaj-58e0c34d94a445f8bef5834d15a257f42020-11-25T00:31:48ZengWileyCancer Medicine2045-76342020-03-01962243225110.1002/cam4.2831The relative survival and cure fraction of gastric cancer estimated through flexible parametric models using data from population‐based cancer registration during 2003‐2012 in Linzhou, ChinaQiong Chen0Shu‐Zheng Liu1Shao‐kai Zhang2Xiao‐Qin Cao3Bian‐Yun Li4Pei‐Liang Quan5Lan‐Wei Guo6Lee Dong7Xi‐Bin Sun8Yawei Zhang9Jian‐Gong Zhang10Department of Epidemiology Affiliated Cancer Hospital of Zhengzhou University/ Henan Provincial Cancer Hospital Zhengzhou ChinaDepartment of Epidemiology Affiliated Cancer Hospital of Zhengzhou University/ Henan Provincial Cancer Hospital Zhengzhou ChinaDepartment of Epidemiology Affiliated Cancer Hospital of Zhengzhou University/ Henan Provincial Cancer Hospital Zhengzhou ChinaDepartment of Epidemiology Affiliated Cancer Hospital of Zhengzhou University/ Henan Provincial Cancer Hospital Zhengzhou ChinaLinzhou Cancer Registry Linzhou Cancer Hospital Linzhou ChinaDepartment of Epidemiology Affiliated Cancer Hospital of Zhengzhou University/ Henan Provincial Cancer Hospital Zhengzhou ChinaDepartment of Epidemiology Affiliated Cancer Hospital of Zhengzhou University/ Henan Provincial Cancer Hospital Zhengzhou ChinaUniversity of Chicago Chicago IL USADepartment of Epidemiology Affiliated Cancer Hospital of Zhengzhou University/ Henan Provincial Cancer Hospital Zhengzhou ChinaDepartment of Surgery Yale University School of Medicine New Haven CT USADepartment of Epidemiology Affiliated Cancer Hospital of Zhengzhou University/ Henan Provincial Cancer Hospital Zhengzhou ChinaAbstract Purpose The proportion of cured gastric cancer patients has drawn the attention of patients, physicians, and healthcare providers after comprehensive prevention and control measures were carried out for several years. Therefore, the relative survival and cure fraction were estimated in our study. Methods Population‐based cancer registration data were used to estimate survival and cure fraction. A total of 7585 gastric cancer cases (ICD10:C16.0 ~ C16.9) were extracted and included in the final analysis. Cases were diagnosed in 2003‐2012 and followed until the end of 2017. Relative survival was calculated as the ratio between the observed survival through the life‐table method. The expected survival was estimated by the Ederer II method. The cure fraction was estimated using flexible parametric cure models stratified by age and calendar period when the cases were diagnosed. Results The 5‐year relative survival of cardia gastric cancer increased with the calendar period of 2003‐2004, 2005‐2006, 2007‐2008, 2009‐2010, and 2011‐2012 (27.5%, 28.3%, 33.5%, 38.2%, and 46.8%, respectively). The increasing trend along with the calendar periods was also observed in cure proportion of cardia gastric cancer (24.8%, 25.2%, 31.7%, 36.0%, and 43.1%, respectively). Notable improvement of cure proportion was observed in the period of 2011‐2012, compared with the initial period of 2003‐2004. There was an improvement of 79.8% among all gastric cancer subjects, and it was 74.1% and 55.7% in cardia gastric and noncardia gastric cancer subjects, respectively. The median survival of “uncured” patients showed no significant improvement along with the calendar periods in all age groups. Conclusions Notable improvement of gastric cancer relative survival and cure proportion was observed in Linzhou during 2003‐2012.https://doi.org/10.1002/cam4.2831cure fractioncure modelGastric cancerrelative survival |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Qiong Chen Shu‐Zheng Liu Shao‐kai Zhang Xiao‐Qin Cao Bian‐Yun Li Pei‐Liang Quan Lan‐Wei Guo Lee Dong Xi‐Bin Sun Yawei Zhang Jian‐Gong Zhang |
spellingShingle |
Qiong Chen Shu‐Zheng Liu Shao‐kai Zhang Xiao‐Qin Cao Bian‐Yun Li Pei‐Liang Quan Lan‐Wei Guo Lee Dong Xi‐Bin Sun Yawei Zhang Jian‐Gong Zhang The relative survival and cure fraction of gastric cancer estimated through flexible parametric models using data from population‐based cancer registration during 2003‐2012 in Linzhou, China Cancer Medicine cure fraction cure model Gastric cancer relative survival |
author_facet |
Qiong Chen Shu‐Zheng Liu Shao‐kai Zhang Xiao‐Qin Cao Bian‐Yun Li Pei‐Liang Quan Lan‐Wei Guo Lee Dong Xi‐Bin Sun Yawei Zhang Jian‐Gong Zhang |
author_sort |
Qiong Chen |
title |
The relative survival and cure fraction of gastric cancer estimated through flexible parametric models using data from population‐based cancer registration during 2003‐2012 in Linzhou, China |
title_short |
The relative survival and cure fraction of gastric cancer estimated through flexible parametric models using data from population‐based cancer registration during 2003‐2012 in Linzhou, China |
title_full |
The relative survival and cure fraction of gastric cancer estimated through flexible parametric models using data from population‐based cancer registration during 2003‐2012 in Linzhou, China |
title_fullStr |
The relative survival and cure fraction of gastric cancer estimated through flexible parametric models using data from population‐based cancer registration during 2003‐2012 in Linzhou, China |
title_full_unstemmed |
The relative survival and cure fraction of gastric cancer estimated through flexible parametric models using data from population‐based cancer registration during 2003‐2012 in Linzhou, China |
title_sort |
relative survival and cure fraction of gastric cancer estimated through flexible parametric models using data from population‐based cancer registration during 2003‐2012 in linzhou, china |
publisher |
Wiley |
series |
Cancer Medicine |
issn |
2045-7634 |
publishDate |
2020-03-01 |
description |
Abstract Purpose The proportion of cured gastric cancer patients has drawn the attention of patients, physicians, and healthcare providers after comprehensive prevention and control measures were carried out for several years. Therefore, the relative survival and cure fraction were estimated in our study. Methods Population‐based cancer registration data were used to estimate survival and cure fraction. A total of 7585 gastric cancer cases (ICD10:C16.0 ~ C16.9) were extracted and included in the final analysis. Cases were diagnosed in 2003‐2012 and followed until the end of 2017. Relative survival was calculated as the ratio between the observed survival through the life‐table method. The expected survival was estimated by the Ederer II method. The cure fraction was estimated using flexible parametric cure models stratified by age and calendar period when the cases were diagnosed. Results The 5‐year relative survival of cardia gastric cancer increased with the calendar period of 2003‐2004, 2005‐2006, 2007‐2008, 2009‐2010, and 2011‐2012 (27.5%, 28.3%, 33.5%, 38.2%, and 46.8%, respectively). The increasing trend along with the calendar periods was also observed in cure proportion of cardia gastric cancer (24.8%, 25.2%, 31.7%, 36.0%, and 43.1%, respectively). Notable improvement of cure proportion was observed in the period of 2011‐2012, compared with the initial period of 2003‐2004. There was an improvement of 79.8% among all gastric cancer subjects, and it was 74.1% and 55.7% in cardia gastric and noncardia gastric cancer subjects, respectively. The median survival of “uncured” patients showed no significant improvement along with the calendar periods in all age groups. Conclusions Notable improvement of gastric cancer relative survival and cure proportion was observed in Linzhou during 2003‐2012. |
topic |
cure fraction cure model Gastric cancer relative survival |
url |
https://doi.org/10.1002/cam4.2831 |
work_keys_str_mv |
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