About DRG Epidemiology

DRG’s Epidemiology provides bottom-up, patient-level forecasts, detailing disease trends from 10- to 20-year outlook periods to help you validate investments and identify growth opportunities in your markets of interest.

All of our epidemiological data, methods and insight are distributed via DRG’s Insights Platform, allowing the user to easily navigate between world regions and patient populations, as well as download epidemiological forecast data into an MS Excel format for offline use.

All epidemiological forecasts may be supplemented with custom deliverables, such as:

  • Chart reviews or more granular stratification using DRG’s in-house real world datasets or physician survey data
  • Customized and interactive patient flow models or additional subpopulations or metrics
  • Expanded geographical coverage or extended forecast periods beyond those available

Coverage

Our robust patient population sizing data includes therapeutic coverage of 140+ indications and 3400+ patient subpopulations, including extensive oncology subpopulation data by stage, line of therapy, and biomarker, as well as continually expanding niche and rare disease coverage.

The geographic breadth of data includes mature market (G7) reporting for all 140+ indications, as well as 90% global population coverage for the high-profile diseases, and expanded penetration for emerging and rest-of-world markets in select indications.

Methods

For over 20 years, our data and methodology have been developed and refined by DRG’s Epidemiology team of industry-leading subject matter experts, driven by rigorous methodology to uncover the impact of exposure, risk, and treatment, in addition to historical trends and age and gender cohorts.

All of our epidemiological forecasts are accompanied by a transparent description of our methods and data sources, the details of our systematic review underlying each forecast and associated summary evidence tables, and access to the authoring epidemiologist.

Table of contents

  • Asia Pacific Data
    • Introduction
      • Key Findings
      • Overview
        • Incidence of Prostate Cancer per Year per 100,000 Males of All Ages in 2017 and 2027
        • Relative Sizes of the Contributing Factors to the Trend in Incident Cases of Prostate Cancer over the Next Ten Years
        • Number of Additional Incident Cases of Prostate Cancer Incurred over 2017-2027 in the Countries Under Study due to Trends in Risk
    • Epidemiology Data
    • Methods
      • Diagnosed Incident Cases of Prostate Cancer
      • TNM Stage and NCCN Risk Category
      • Recurrent Incidence
      • Lifetime DALYs Gained
      • Diagnosed Prevalent Cases
      • Drug-Treatable Populations
      • Drug-Treated Populations
    • Reference Materials
      • Literature Review
      • Risk/Protective Factors
      • Bibliography

Author(s): Narendra Parihar; Nishant Kumar, MPH

Narendra is an associate epidemiologist within the epidemiology team at Decision Resources Group. Narendra specializes in developing epidemiological forecasts for multiple indications within the DRG syndicated portfolio. His qualifications include an MPH with specialization in Health Policy, Economics and Finance from the Tata Institute of Social Sciences, Mumbai, and a Bachelor’s degree in Dentistry from the Rajasthan University of Health Sciences.

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.


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