DRG Epidemiology’s coverage of multiple myeloma comprises epidemiological estimates of key patient populations in 45 countries worldwide. We report both the incidence and prevalence of multiple myeloma 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 and prevalent patient populations, the number of drug-treatment opportunities in specific lines of therapy are forecast for the developed world.
DRG Epidemiology’s multiple myeloma forecast will answer the following questions:
In developing countries, what impact will economic growth and development have on the number of people diagnosed with multiple myeloma per year?
Of all people diagnosed with multiple myeloma, how many in each country in the developed world are drug-treated?
How will demographic trends, such as population aging and improving life expectancy, affect the epidemiology of multiple myeloma 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 addition, we provide a graph depicting the patient flow between or within different disease states for the major mature pharmaceutical markets. 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 multiple myeloma patient populations:
Diagnosed incident cases.
Diagnosed incident cases by stage distribution.
Diagnosed incident cases by symptomatic status.
First-line drug-treatable population.
First-line drug-treatable population by transplant-eligibility status.
Diagnosed Incidence of Multiple Myeloma per Year per 100,000 People of All Ages in 2020 and 2030ttttttttt
Relative Sizes of the Factors Contributing to the Trend in Incident Cases of Multiple Myeloma over the Next Ten Yearsttttttttt
Epidemiology Data
Methods
Diagnosed Incident Cases of Multiple Myeloma
ISS Stage Distribution
Diagnosed Incident Cases of Multiple Myeloma by Symptoms
Diagnosed Prevalent Cases
Progression of Asymptomatic Multiple Myeloma to Symptomatic Multiple Myeloma
Drug-Treatable Population and Percentage Drug-Treated
Reference Materials
Literature Review
Studies Included in the Analysis of Multiple Myeloma
Studies Excluded from the Analysis of Multiple Myeloma
Risk/Protective Factors
Risk/Protective Factors for Multiple Myeloma
Bibliography
Glossary
Atul Sharma, M.P.H.
Atul Sharma, M.P.H., is an associate epidemiologist at DRG, part of Clarivate. He holds a master’s degree in public health from the School of Public Health, Post-Graduate Institute of Medical Education and Research, and a bachelor’s degree in dental surgery from MN DAV Dental College and Hospital.
Swarali Tadwalkar
Swarali Tadwalkar, M.P.H., is a principal epidemiologist at Clarivate. Previously, she was involved in primary and secondary healthcare research, including projects in digital health, health policy and management, and health economics and outcomes research (HEOR). Ms. Tadwalkar also coordinated various nongovernmental public health projects focusing on access to treatment for hepatitis and human papilloma virus. She received her M.P.H. from the University of South Florida in Tampa.