DRG Epidemiology's coverage of glioma comprises epidemiological estimates of key patient populations across 45 countries worldwide. We report the incidence of glioma for each country, as well as annualized case counts projected to the national population.
Most patient populations are forecast over a period of 20 years for the major mature pharmaceutical markets and 10 years for the other countries covered in this report. In addition to forecasting incident patient populations, the number of drug-treatment opportunities at specific lines of therapy are also forecast across the major mature pharmaceutical markets.
DRG Epidemiology's glioma forecast will answer the following questions:
In developing countries, what impact will economic growth and development have on the number of people diagnosed with glioma per year?
Of all people diagnosed with glioma, how many in each country across the major mature pharmaceutical markets are drug-treated?
How will demographic trends, such as population aging and improving life expectancy, affect the epidemiology of glioma over the forecast period?
All forecast data are available on the DRG Insights Platform in tabular format, with options to download to MS Excel. All populations are accompanied by a comprehensive description of the methods and data sources used, with hyperlinks to external sources. A summary evidence table generated as part of our systematic review of the epidemiological literature is also provided for full transparency into research and methods.
In total, DRG Epidemiology forecasts 21 glioma patient populations, as follows:
Diagnosed Incidence of glioma per 100,000 in 2019 and 2039
Incidence of Glioma per 100,000 per Year Among People of All Ages in 2019 and 2029
Relative Sizes of the Factors Contributing to the Trend in Incident cases of Glioma over the Next Ten Yearsttttttttt
Analysis of Diagnosed Incident cases of Glioma Across the Countries Under Study in 2019 by Subtypettttttttt
Epidemiology Data
Methods
Lifetime DALYs Gained
Diagnosed Incident Cases
Histology
Recurrent Incident Cases of Astrocytic Glioma
Diagnosed Prevalent Cases of Astrocytic Glioma
Drug-Treatable and Drug-Treated Populations
Reference Materials
Literature Review
Studies Included in the Analysis of Glioma
Studies Excluded from the Analysis of Glioma
Risk/Protective Factors
Risk/Protective Factors for Glioma
Bibliography
Nishant Kumar, M.P.H.
Nishant Kumar, M.P.H., is a senior director on the Epidemiology team at Clarivate. His areas of expertise are oncology and CNS diseases, including Alzheimer’s disease and dementia. His key interests in oncology are modeling disease progression and drug-treatable incident and prevalent populations. Previously, Mr. Kumar sized patient populations for rare and niche diseases, such as graft-versus-host disease and Duchenne muscular dystrophy. He earned his M.P.H. with a concentration in epidemiology and statistics from King’s College in London and a B.Sc. (Honors) in medical studies from the University of Birmingham.
