Small Cell Lung Cancer | Epidemiology | Asia Pacific Data

Publish date: November 2017

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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
        • Diagnosed Incidence of Small-Cell Lung Cancer per 100,000 People of All Ages in 2017 and 2027
        • Relative Sizes of the Contributing Factors to the Trend in Diagnosed Incident Cases of Small-Cell Lung Cancer Over the Next Ten Years
        • Analysis of the Diagnosed Incident Cases of Small-Cell Lung Cancer in 2017 by Disease Stage
    • Epidemiology Data
    • Methods
      • Diagnosed Incident Cases
      • Stage Distribution of Small-Cell Lung Cancer
      • Recurrent Incident Cases of Small-Cell Lung Cancer
      • Diagnosed Prevalent Cases
      • Drug-Treatable Populations
    • Reference Materials
      • Literature Review
      • Risk/Protective Factors
      • Bibliography

Author(s): Ema Rodrigues, DSc, MPH; Nicole Zhang, MPH

Ema is an epidemiologist with expertise in forecasting incident and prevalent populations within oncology, as well as some cardiovascular indications such as venous thromboembolism. She has significant experience with statistical methods such as multivariate linear regression, conditional logistic regression, principal components analysis, mixed models, hierarchical modeling, and path analysis to account for the complex relationships among various predictors of health outcomes, particularly correlated variables. She completed her master’s and doctoral degree (MPH, ) in Environmental Health at Boston University School of Public Health, where she worked on projects investigating significant predictors of various health outcomes including central nervous system cancer, cognitive function, and birth outcomes.              

Nicole Zhang is an Epidemiologist at Decision Resources Group. She focuses on the epidemiology of oncology and cardiovascular disorders. She holds an from Tufts Medical School where she specialized in epidemiology and biostatistics. She also holds a in Chemistry and Statistics from Mount Holyoke College. Prior to joining Decision Resources, she worked as a research analyst at Massachusetts General Hospital where she independently managed data from food information survey conducted in Chelsea, MA. She has also worked at Massachusetts Department of Public Health where she conducted secondary research in the fields of gestational diabetes.