Niemann Pick Disease – Epidemiology – Mature Markets

Clarivate Epidemiology’s coverage of Niemann-Pick disease (NP) comprises epidemiological estimates of key patient populations in the major mature pharmaceutical markets (the United States, France, Germany, Italy, Spain, the United Kingdom, and Japan). We report the prevalence of NP 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.

Clarivate Epidemiology’s NP forecast will answer the following questions:

  • How will demographic trends, such as population aging and improving life expectancy, affect the epidemiology of NP over the forecast period?

All forecast data are available on the Clarivate 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 total, Clarivate Epidemiology forecasts the following NP patient populations:

  • Diagnosed prevalent cases of NP-A.
  • Diagnosed prevalent cases of NP-B.
  • Diagnosed prevalent cases of NP-C.
  • Diagnosed prevalent cases of NP intermediate type.

Note: Coverage may vary by country.

Table of contents

  • Niemann Pick Disease - Epidemiology - Mature Markets
    • Epidemiology data
    • Methods
      • Literature review (studies included in/excluded from the analyses of Niemann-Pick disease)
      • Diagnosed prevalent cases of Niemann-Pick disease
      • Diagnosed prevalent cases of Niemann-Pick A disease
      • Diagnosed prevalent cases of Niemann-Pick B disease
      • Diagnosed prevalent cases of Niemann-Pick C disease
      • Diagnosed prevalent cases of Niemann-Pick intermediate disease
      • Risk / protective factors applied to disease forecast models
    • Reference materials
      • Bibliography
      • Glossary
      • Abbreviation table