Trends and patterns of incidence of diffuse glioma in adults in the United States, 1973-2014

被引:47
作者
Li, Kai [1 ]
Lu, Dan [2 ]
Guo, Yazhou [1 ]
Wang, Changwei [1 ]
Liu, Xiao [1 ]
Liu, Yu [1 ]
Liu, Dezhong [1 ]
机构
[1] Zhoukou Cent Hosp, Dept Neurosurg, Zhoukou, Henan, Peoples R China
[2] Zhoukou Cent Hosp, Med Examinat Ctr, Zhoukou, Henan, Peoples R China
来源
CANCER MEDICINE | 2018年 / 7卷 / 10期
关键词
age-period-cohort model; astrocytoma; cancer incidence; glioblastoma; trend; MALIGNANT BRAIN-TUMORS; NERVOUS-SYSTEM; IONIZING-RADIATION; GENETIC PATHWAYS; MOBILE PHONES; RISK; POPULATION; CHILDHOOD; MORTALITY; EXPOSURE;
D O I
10.1002/cam4.1757
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
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-periodcohort 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 19922014 = 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.
引用
收藏
页码:5281 / 5290
页数:10
相关论文
共 50 条
[11]   Time Trends (1998-2007) in Brain Cancer Incidence Rates in Relation to Mobile Phone Use in England [J].
de Vocht, Frank ;
Burstyn, Igor ;
Cherrie, John W. .
BIOELECTROMAGNETICS, 2011, 32 (05) :334-339
[12]   Mobile Phone Use and Incidence of Glioma in the Nordic Countries 1979-2008 Consistency Check [J].
Deltour, Isabelle ;
Auvinen, Anssi ;
Feychting, Maria ;
Johansen, Christoffer ;
Klaeboe, Lars ;
Sankila, Risto ;
Schuetz, Joachim .
EPIDEMIOLOGY, 2012, 23 (02) :301-307
[13]   INCREASING INCIDENCE OF PRIMARY MALIGNANT BRAIN-TUMORS - INFLUENCE OF DIAGNOSTIC METHODS [J].
DESMEULES, M ;
MIKKELSEN, T ;
MAO, Y .
JOURNAL OF THE NATIONAL CANCER INSTITUTE, 1992, 84 (06) :442-445
[14]   Trends in Central Nervous System Tumor Incidence Relative to Other Common Cancers in Adults, Adolescents, and Children in the United States, 2000 to 2010 [J].
Gittleman, Haley R. ;
Ostrom, Quinn T. ;
Rouse, Chaturia D. ;
Dowling, Jacqueline A. ;
de Blank, Peter M. ;
Kruchko, Carol A. ;
Elder, J. Bradley ;
Rosenfeld, Steven S. ;
Selman, Warren R. ;
Sloan, Andrew E. ;
Barnholtz-Sloan, Jill S. .
CANCER, 2015, 121 (01) :102-112
[15]   Mobile phones, cordless phones and rates of brain tumors in different age groups in the Swedish National Inpatient Register and the Swedish Cancer Register during 1998-2015 [J].
Hardell, Lennart ;
Carlberg, Michael .
PLOS ONE, 2017, 12 (10)
[16]   Changing incidence and improved survival of gliomas [J].
Ho, Vincent K. Y. ;
Reijneveld, Jaap C. ;
Enting, Roelien H. ;
Bienfait, Henri P. ;
Robe, Pierre ;
Baumert, Brigitta G. ;
Visser, Otto .
EUROPEAN JOURNAL OF CANCER, 2014, 50 (13) :2309-2318
[18]   What is a cohort effect? Comparison of three statistical methods for modeling cohort effects in obesity prevalence in the United States, 1971-2006 [J].
Keyes, Katherine M. ;
Utz, Rebecca L. ;
Robinson, Whitney ;
Li, Guohua .
SOCIAL SCIENCE & MEDICINE, 2010, 70 (07) :1100-1108
[19]  
Kim HJ, 2000, STAT MED, V19, P335, DOI 10.1002/(SICI)1097-0258(20000215)19:3<335::AID-SIM336>3.3.CO
[20]  
2-Q