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Trends and patterns of incidence of diffuse glioma in adults in the United States, 1973‐2014
INTRODUCTION: The objective of the study was to identify trends in incidence of adult diffuse gliomas in the United States and evaluate the contribution of age, period, and cohort effects to the trends. METHODS: Using the Surveillance, Epidemiology, and End Results 9 database, primary diffuse glioma...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6198197/ https://www.ncbi.nlm.nih.gov/pubmed/30175510 http://dx.doi.org/10.1002/cam4.1757 |
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author | Li, Kai Lu, Dan Guo, Yazhou Wang, Changwei Liu, Xiao Liu, Yu Liu, Dezhong |
author_facet | Li, Kai Lu, Dan Guo, Yazhou Wang, Changwei Liu, Xiao Liu, Yu Liu, Dezhong |
author_sort | Li, Kai |
collection | PubMed |
description | INTRODUCTION: The objective of the study was to identify trends in incidence of adult diffuse gliomas in the United States and evaluate the contribution of age, period, and cohort effects to the trends. METHODS: Using the Surveillance, Epidemiology, and End Results 9 database, primary diffuse glioma patients (≥20 years old) diagnosed from 1973 to 2014 were identified. Incidence trends were analyzed using joinpoint regression and age‐period‐cohort modeling. RESULTS: Overall, the incidence for adult glioma decreased slowly from 1985 to 2014 (annual percent change [APC] = 0.5%, 95% confidence intervals [CI], 0.3%‐0.6%). In histology subtype‐stratified analysis, glioblastoma and nonglioblastoma exhibited opposite trends. The incidence for glioblastoma increased from 1978 to 2014 (APC for year 1978‐1992 = 2.7%, 95% CI, 1.8%‐3.6%; APC for 1992‐2014 = 0.3%, 95% CI, 0%‐0.6%), while the incidence for nonglioblastoma decreased significantly from 1982 to 2014 (APC = 2.2%, 95% CI, 2.0%‐2.5%). Age‐period‐cohort modeling revealed significant period and cohort effects, with the patterns for glioblastoma and nonglioblastoma distinctive from each other. Compared with adults born 1890s, those born 1920s had approximately 4‐fold the risk of glioblastoma after adjustment of age and period effects, while the risk of nonglioblastoma was reduced by half in individuals in the 1939 cohort as compared with those in the 1909 cohort. CONCLUSIONS: The results support the hypothesis of etiological heterogeneity of diffuse gliomas by histology subtypes. The established risk factors cannot fully explain the distinct patterns by histology subtypes, which necessitate further epidemiological studies. |
format | Online Article Text |
id | pubmed-6198197 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-61981972018-10-31 Trends and patterns of incidence of diffuse glioma in adults in the United States, 1973‐2014 Li, Kai Lu, Dan Guo, Yazhou Wang, Changwei Liu, Xiao Liu, Yu Liu, Dezhong Cancer Med Cancer Prevention INTRODUCTION: The objective of the study was to identify trends in incidence of adult diffuse gliomas in the United States and evaluate the contribution of age, period, and cohort effects to the trends. METHODS: Using the Surveillance, Epidemiology, and End Results 9 database, primary diffuse glioma patients (≥20 years old) diagnosed from 1973 to 2014 were identified. Incidence trends were analyzed using joinpoint regression and age‐period‐cohort modeling. RESULTS: Overall, the incidence for adult glioma decreased slowly from 1985 to 2014 (annual percent change [APC] = 0.5%, 95% confidence intervals [CI], 0.3%‐0.6%). In histology subtype‐stratified analysis, glioblastoma and nonglioblastoma exhibited opposite trends. The incidence for glioblastoma increased from 1978 to 2014 (APC for year 1978‐1992 = 2.7%, 95% CI, 1.8%‐3.6%; APC for 1992‐2014 = 0.3%, 95% CI, 0%‐0.6%), while the incidence for nonglioblastoma decreased significantly from 1982 to 2014 (APC = 2.2%, 95% CI, 2.0%‐2.5%). Age‐period‐cohort modeling revealed significant period and cohort effects, with the patterns for glioblastoma and nonglioblastoma distinctive from each other. Compared with adults born 1890s, those born 1920s had approximately 4‐fold the risk of glioblastoma after adjustment of age and period effects, while the risk of nonglioblastoma was reduced by half in individuals in the 1939 cohort as compared with those in the 1909 cohort. CONCLUSIONS: The results support the hypothesis of etiological heterogeneity of diffuse gliomas by histology subtypes. The established risk factors cannot fully explain the distinct patterns by histology subtypes, which necessitate further epidemiological studies. John Wiley and Sons Inc. 2018-09-02 /pmc/articles/PMC6198197/ /pubmed/30175510 http://dx.doi.org/10.1002/cam4.1757 Text en © 2018 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Cancer Prevention Li, Kai Lu, Dan Guo, Yazhou Wang, Changwei Liu, Xiao Liu, Yu Liu, Dezhong Trends and patterns of incidence of diffuse glioma in adults in the United States, 1973‐2014 |
title | Trends and patterns of incidence of diffuse glioma in adults in the United States, 1973‐2014 |
title_full | Trends and patterns of incidence of diffuse glioma in adults in the United States, 1973‐2014 |
title_fullStr | Trends and patterns of incidence of diffuse glioma in adults in the United States, 1973‐2014 |
title_full_unstemmed | Trends and patterns of incidence of diffuse glioma in adults in the United States, 1973‐2014 |
title_short | Trends and patterns of incidence of diffuse glioma in adults in the United States, 1973‐2014 |
title_sort | trends and patterns of incidence of diffuse glioma in adults in the united states, 1973‐2014 |
topic | Cancer Prevention |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6198197/ https://www.ncbi.nlm.nih.gov/pubmed/30175510 http://dx.doi.org/10.1002/cam4.1757 |
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