Clarivate Epidemiology’s coverage of small-cell lung cancer (SCLC) comprises epidemiological estimates of key patient populations in 45 countries worldwide. We report both the incidence and prevalence of SCLC 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 pharmaceutical markets of the United States, Europe, and Japan and 10 years for the other countries covered in this report. In addition to forecasting incident and prevalent patient populations, we estimate the number of drug-treatment opportunities in specific lines of therapy for the high-income countries.
Clarivate Epidemiology’s SCLC forecast will answer the following questions:
How will changes in the levels of exposure to known risk or protective factors affect the number of people diagnosed with SCLC per year?
How will improvements in survival change the number of people living with SCLC?
Of all people diagnosed with SCLC, how many in each country in the developed world are drug-treated?
How will demographic trends, such as population aging and improving life expectancy, affect the epidemiology of SCLC 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 21 SCLC patient populations, including the following:
Diagnosed incident cases of SCLC.
Diagnosed incident cases of SCLC by stage.
Diagnosed incident cases of unresectable recurrent SCLC.
Literature review (studies included in / excluded from the analyses of small-cell lung cancer)
Diagnosed incident cases
Recurrent incident cases
Diagnosed prevalent cases
Risk / protective factors applied to disease forecast models
Natasha Nahar, M.P.H.,Epidemiologist, Epidemiology. Ms. Nahar holds a master’s degree in public health from the Tata Institute of Social Sciences in Mumbai and a bachelor’s degree in dental surgery from BVDU Dental College and Hospital in Sangli.
Narendra Parihar, B.D.S., M.P.H., Senior Manager, Epidemiology. Dr Parihar is a team lead at Clarivate Epidemiology. He specializes in modelling and forecasting epidemiology patient populations across multiple indications. His primary areas of interest are cancer epidemiology, rare disease epidemiology, and targeted therapies in cancer. His qualifications include a master’s degree in public health with specialization in health policy, economics, and finance from Tata Institute of Social Sciences Mumbai, and a bachelor’s degree in dental surgery from the Rajasthan University of Health Sciences.