Polycystic Ovarian Syndrome (PCOS) – Epidemiology – Mature Markets
Clarivate Epidemiology’s coverage of polycystic ovarian syndrome (PCOS) 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 PCOS for each country, as well as annualized case counts projected to the national population.
Patient populations are forecast over a period of 20 years for the major mature pharmaceutical markets in this report.
Clarivate Epidemiology’s PCOS forecast will answer the following questions:
- How will demographic trends, such as population aging and improving life expectancy, affect the epidemiology of PCOS 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 five PCOS patient populations, as follows:
- Total prevalent cases
- Diagnosed prevalent cases
- Total prevalent cases of PCOS with obesity
- Total prevalent cases of PCOS with infertility
- Total prevalent cases of PCOS with hirsutism
Table of contents
- Polycystic Ovarian Syndrome (PCOS) - Epidemiology - Mature Markets
- Epidemiology Data
- Methods
- Literature review (studies included in / excluded from the analyses of PCOS)
- Total prevalent cases of polycystic ovarian syndrome
- Diagnosed prevalent cases of polycystic ovarian syndrome
- Total prevalent cases of polycystic ovarian syndrome with obesity
- Total prevalent cases of polycystic ovarian syndrome with infertility
- Total prevalent cases of polycystic ovarian syndrome with hirsutism
- Risk / protective factors applied to disease forecast models
- Reference Materials
