Market Research Report
Ovarian Cancer: Epidemiology Forecast to 2028
|Published by||GlobalData||Product code||912103|
|Published||Content info||46 Pages
Delivery time: 1-2 business days
|Ovarian Cancer: Epidemiology Forecast to 2028|
|Published: July 31, 2019||Content info: 46 Pages||
Ovarian cancer is the most lethal gynecologic cancer and overall a leading cause of cancer incidence and mortality worldwide. The disease is defined as uncontrolled cell growth in the ovaries, although research has shown that the disease may actually originate in the fallopian tubes.
GlobalData epidemiologists used age- and sex-specific diagnosed incidence rates to forecast the diagnosed incident cases, and used the observed survival rates to calculate the five-year diagnosed prevalent cases, taking into account the significant relationship between age and ovarian cancer incidence, survival, and prevalence. GlobalData epidemiologists applied country-specific incidence rates of ovarian cancer, wherever available, to each country's population to obtain the number of estimated diagnosed incident cases.
The following data describes epidemiology of ovarian cancer cases, including both cancer of the ovary and cancer of the fallopian tube. In 2018, the 7MM had 63,331 diagnosed incident cases of ovarian cancer. This is expected to increase to 66,000 diagnosed incident cases by 2028, at an Annual Growth Rate (AGR) of 0.42%. The increase is driven by changes in incidence rates in the 7MM. In 2018, the 7MM had 180,626 five-year diagnosed prevalent cases of ovarian cancer. This is expected to increase to 191,896 diagnosed prevalent cases by 2028, at an AGR of 0.62%. The US had the highest number of diagnosed incident and five-year diagnosed prevalent cases of ovarian cancer. The development of more effective screening tools for an early diagnosis, including a better understanding of the pathogenesis of the different histologic subtypes of ovarian cancer, would improve survival and increase disease prevalence.
The Ovarian Cancer Epidemiology series will allow you to: