EpiCast Report: Amyotrophic Lateral Sclerosis - Epidemiology Forecast to 2023
|出版日期||內容資訊||英文 38 Pages
|EpiCast Report:肌肉萎縮性側索硬化症(俗稱漸凍人)(ALS)的流行病學的預測 EpiCast Report: Amyotrophic Lateral Sclerosis - Epidemiology Forecast to 2023|
|出版日期: 2014年05月01日||內容資訊: 英文 38 Pages||
Amyotrophic lateral sclerosis (ALS), often referred to as "Lou Gehrig's Disease," is a rare, but fatal, progressive neurodegenerative disease that affects the nerve cells in the brain and the spinal cord. ALS severely impacts physical functioning and initially presents with muscle twitching, weakness in an arm or leg, or with slurring of speech. Eventually, people with ALS lose their ability to control the muscles needed to move, speak, eat, and breathe, which ultimately leads to death. The progressively degenerative course of the condition is a great burden for both patients and caregivers, as well as for society.
GlobalData epidemiologists forecast that the diagnosed prevalent cases of ALS in the 7MM will grow by 13.5% over the next decade, from 32,698 diagnosed prevalent cases in 2013 to 37,122 diagnosed prevalent cases in 2023. Throughout the forecast period, the US will have the highest numbers of diagnosed prevalent cases of ALS, followed by Japan.
To develop the epidemiological forecast for the diagnosed prevalent cases of ALS in the 7MM, GlobalData epidemiologists obtained the diagnosed prevalence data for ALS from peer-reviewed journals and population-based studies in the respective markets and used a consistent methodology to ensure comparability of the results. A major strength of GlobalData's epidemiological analysis is the use of country-specific studies that provided the diagnosed prevalence of ALS using uniform diagnostic criteria based on the El Escorial criteria or the International Classification of Diseases, Ninth Revision (ICD-9), criteria (ICD-9 code for ALS = 335.2), to allow for a meaningful comparison of the diagnosed prevalent cases of ALS in these markets. Furthermore, the diagnosed prevalent cases of ALS in each of the 7MM were further segmented by age and sex in order to provide a more detailed analysis of the patient population.