Brain cancer mortality rates increase with Toxoplasma gondii seroprevalence in France

2012 ◽  
Vol 12 (2) ◽  
pp. 496-498 ◽  
Author(s):  
Marion Vittecoq ◽  
Eric Elguero ◽  
Kevin D. Lafferty ◽  
Benjamin Roche ◽  
Jacques Brodeur ◽  
...  
2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Keshav P. Pokhrel ◽  
Chris P. Tsokos

Incidence and mortality rates are considered as a guideline for planning public health strategies and allocating resources. We apply functional data analysis techniques to model age-specific brain cancer mortality trend and forecast entire age-specific functions using exponential smoothing state-space models. The age-specific mortality curves are decomposed using principal component analysis and fit functional time series model with basis functions. Nonparametric smoothing methods are used to mitigate the existing randomness in the observed data. We use functional time series model on age-specific brain cancer mortality rates and forecast mortality curves with prediction intervals using exponential smoothing state-space model. We also present a disparity of brain cancer mortality rates among the age groups together with the rate of change of mortality rates. The data were obtained from the Surveillance, Epidemiology and End Results (SEER) program of the United States. The brain cancer mortality rates, classified under International Classification Disease code ICD-O-3, were extracted from SEER*Stat software.


2010 ◽  
Vol 28 (15) ◽  
pp. 2625-2634 ◽  
Author(s):  
Malcolm A. Smith ◽  
Nita L. Seibel ◽  
Sean F. Altekruse ◽  
Lynn A.G. Ries ◽  
Danielle L. Melbert ◽  
...  

Purpose This report provides an overview of current childhood cancer statistics to facilitate analysis of the impact of past research discoveries on outcome and provide essential information for prioritizing future research directions. Methods Incidence and survival data for childhood cancers came from the Surveillance, Epidemiology, and End Results 9 (SEER 9) registries, and mortality data were based on deaths in the United States that were reported by states to the Centers for Disease Control and Prevention by underlying cause. Results Childhood cancer incidence rates increased significantly from 1975 through 2006, with increasing rates for acute lymphoblastic leukemia being most notable. Childhood cancer mortality rates declined by more than 50% between 1975 and 2006. For leukemias and lymphomas, significantly decreasing mortality rates were observed throughout the 32-year period, though the rate of decline slowed somewhat after 1998. For remaining childhood cancers, significantly decreasing mortality rates were observed from 1975 to 1996, with stable rates from 1996 through 2006. Increased survival rates were observed for all categories of childhood cancers studied, with the extent and temporal pace of the increases varying by diagnosis. Conclusion When 1975 age-specific death rates for children are used as a baseline, approximately 38,000 childhood malignant cancer deaths were averted in the United States from 1975 through 2006 as a result of more effective treatments identified and applied during this period. Continued success in reducing childhood cancer mortality will require new treatment paradigms building on an increased understanding of the molecular processes that promote growth and survival of specific childhood cancers.


Author(s):  
Bohdan B Khomtchouk ◽  
Diem-Trang Tran ◽  
Kasra A Vand ◽  
Matthew Might ◽  
Or Gozani ◽  
...  

Abstract Cardiovascular disease (CVD) is the leading cause of death worldwide, causing over 17 million deaths per year, which outpaces global cancer mortality rates. Despite these sobering statistics, most bioinformatics and computational biology research and funding to date has been concentrated predominantly on cancer research, with a relatively modest footprint in CVD. In this paper, we review the existing literary landscape and critically assess the unmet need to further develop an emerging field at the multidisciplinary interface of bioinformatics and precision cardiovascular medicine, which we refer to as ‘cardioinformatics’.


2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e16089-e16089
Author(s):  
Jean Henri Schoueri ◽  
Luis Eduardo Werneck De Carvalho ◽  
Isabella Batista Martins Portugal ◽  
Manuela de Almeida Roediger ◽  
Edige Felipe de Sousa Santos ◽  
...  

e16089 Background: There are substantial disparities in esophageal cancer mortality across different social groups, including sex, race/ethnicity, geographical location and socio-economic status. Methods: This is an ecological study with secondary data from 2016 to 2018 that evaluated the effects of income-inequality and number of doctors per inhabitant on esophageal cancer mortality in Brazil and its Federative Units. The amount of deaths and the overall number of doctors were obtained from the Department of Informatics of the Unified Health System. Mortality was estimated per 100,000 individuals and age-standardized through the World Health Organization’s population, whereas the rate of doctor per inhabitant was calculated per 1,000 inhabitants. Income-Inequality was measured by the Gini index, obtained from the United Nations Development Programme. Linear regression was performed by the stepwise backward method. Results: Sex, Gini index values and oncology surgeons were all related to lower mortality rates (p < 0.05), whereas clinical oncologists and general surgeons were both associated with higher mortality (p < 0.05). Conclusions: Esophageal cancer mortality rates were influenced by both the type and amount of doctors per inhabitant of any given administrative region in Brazil, however there was no association found with regards to income inequality.[Table: see text]


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