Prostate Cancer – Epidemiology – Mature Markets Data
DRG Epidemiology’s coverage of prostate cancer comprises epidemiological estimates of key patient populations in 45 countries worldwide. We report both the incidence and prevalence of prostate cancer for each country, as well as annualized case counts projected to the national population.
Most patient populations in the major mature pharmaceutical markets are forecast over a period of 20 years; we forecast patient populations in other countries over a 10-year period. In addition to forecasting incident and prevalent patient populations, we estimate the number of drug-treatment opportunities in specific lines of therapy.
DRG Epidemiology’s prostate cancer forecast will answer the following questions:
How will changes in the levels of exposure to known risk or protective factors affect the number of people diagnosed with prostate cancer per year?
In developing countries, what impact will economic growth and development have on the number of people diagnosed with prostate cancer per year?
How will improvements in survival change the number of people living with a diagnosis of prostate cancer?
How will the declining risk of recurrence change the number of people diagnosed with prostate cancer per year?
Of all people with prostate cancer, how many in each of the major mature pharmaceutical markets have been formally diagnosed?
Of all people diagnosed with prostate cancer, how many in each of the major mature pharmaceutical markets are drug-treated?
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 addition, we provide a graphical depiction of the patient flow between or within different disease states for the countries considered in this report. These patient flow diagrams are provided at the regional level but may be requested for any specific country or forecast year.
DRG Epidemiology provides at least ten years of forecast data for the following prostate cancer patient populations:
Diagnosed incident cases by TNM and risk category.
Diagnosed prevalent cases by drug-treatment potential.
Drug-treatable prevalent cases by metastasis status.
Incident cases of biochemically recurrent prostate cancer.
Prostate Cancer - Epidemiology - Mature Markets Data
Introduction
Key Findings
Key Updates
Overview
Diagnosed Incidence of Prostate Cancer per Year per 100,000 Males of All Ages in 2020 and 2040ttttttttt
Relative Sizes of the Contributing Factors to the Trend in Diagnosed Incident Cases of Prostate Cancer over the Next 20 Years
Diagnosed Incident Cases of Prostate Cancer in 2020 by TNM Stage Distribution/Risk Grouping
Epidemiology Data
Methods
Diagnosed Incident Cases
TNM Stage and NCCN Risk Categories of Prostate Cancer
Recurrent Incident Cases of Prostate Cancer
Diagnosed Prevalent Cases
Drug-Treatable Populations
Drug-Treated Populations
Lifetime DALYs Gained
Reference Materials
Literature Review
Studies Included in the Analysis of Prostate Cancer
Studies Excluded from the Analysis of Prostate Cancer
Risk/Protective Factors
Risk/Protective Factors for Prostate Cancer
Bibliography
Glossary
Narendra Parihar
Narendra Parihar, M.P.H., is a principal epidemiologist at Clarivate. His areas of interest are cancer epidemiology, rare disease epidemiology, and targeted therapies in cancer. A former dentist, he earned his M.P.H. from the Tata Institute of Social Sciences in Mumbai.
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.