DRG Epidemiology's coverage of gastrointestinal stromal tumor comprises epidemiological estimates of key patient populations across the major mature pharmaceutical markets (the United States, France, Germany, Italy, Spain, the United Kingdom, and Japan). We report the prevalence of gastrointestinal stromal tumor 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 we cover. In addition to forecasting prevalent 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 gastrointestinal stromal tumor forecast will answer the following questions:

  • How will demographic trends, such as population aging and improving life expectancy, affect the epidemiology of gastrointestinal stromal tumor 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 graphical depiction of 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.

In addition to the total number of cases for each forecast year, DRG Epidemiology also provides at least ten years of forecast data for the following gastrointestinal stromal tumor subpopulations:

  • Diagnosed first-line, unresectable/metastatic drug-treatable population by drug-treatment status
  • Diagnosed incident cases by primary tumor location
  • Diagnosed incident cases by stage
  • Diagnosed incident cases resectable by NIH  and modified NIH risk stratification
  • Diagnosed prevalent cases by drug-treatment potential status
  • Diagnosed resectable drug-treatable population by drug-treatment status
  • Drug-treatable prevalent cases by resection status
  • … and more (details available on request).

Note: Coverage may vary by country.

Table of contents

  • Gastrointestinal Stromal Tumor - Epidemiology - Mature Markets Data
    • Introduction
      • Key Findings
        • Overview
          • Incidence of Gastrointestinal Stromal Tumor per 100,000 per Year Among People of All Ages in 2017 and 2037
          • Patient Flow Diagram: Gastrointestinal Stromal Tumor
          • Relative Sizes of Factors Contributing to the Trend in Incident Cases of Gastrointestinal Stromal Tumor over the Next 20 Years
          • Analysis of Diagnosed Incident Cases of Gastrointestinal Stromal Tumor Across the Countries Under Study in 2017 by Stage Distribution
      • Epidemiology Data
      • Methods
        • Newly Diagnosed Incidence
        • Stage Distribution
        • Primary Tumor Location
        • Risk Group
        • Recurrent Incidence
        • Diagnosed Prevalence
        • Drug-Treatable and Drug-Treated Populations
      • Reference Materials
        • Literature Review
          • Studies Included in the Analysis of Gastrointestinal Stromal Tumor
          • Studies Excluded from the Analysis of Gastrointestinal Stromal Tumor
        • Risk/Protective Factors
          • Risk/Protective Factors for Gastrointestinal Stromal Tumor
        • Bibliography

    Author(s): Atul Sharma, MPH; Nishant Kumar, MPH

    Atul Sharma started working in Decision Resources Group as an intern in early 2016 and currently works as an associate epidemiologist. He performs fully documented systematic reviews of both published and grey literature on the epidemiology of assigned diseases and their risk factors to estimate incidence/prevalence over a 10-30 year period. He produces analyses for pharmaceutical drug developers on the descriptive epidemiology of major drug indications in mature and developing markets.

    He holds a Master’s in Public Health degree from School of Public Health, Post-Graduate Institute of Medical Education and Research and a Bachelor’s in dental surgery from MN DAV Dental College & Hospital.

    Nishant is a senior epidemiologist and head of oncology within the epidemiology team at Decision Resources Group. He also covers some CNS diseases, including Alzheimer’s disease and dementia. His key interests are developing interactive patient flows, and modelling disease progression to forecast commercially relevant drug-treatable incident and prevalent populations. Nishant also spends a lot of time collaborating with clients to help answer more specific questions through custom work and consulting projects.

    His qualifications include an MSc in Public Health with specialization in epidemiology and statistics from King’s College London, and a BSc in Medical Studies from the University of Birmingham.