Cancer is the most common chronic disease considered as the primary cause of morbidity and deaths around the globe. Nevertheless, the degree of mortalities associated with cancer has reduced due to early treatments and enhanced systematic diagnosis (Albabtain, Alwhaibi, Alburaikan & Asiri, 2018). Breast cancer is the most prevalent type of cancer and a major cause of women mortality in the world.
Type of Study and its Relationship to Morbidity and Mortality
Most of the breast cancer studies are based on a quantitative kind of research in which the information presented is obtained through the analysis of numbers and figures of the affected individuals. Equally, the condition is considered as the most prevalent and the leading cause of female mortality (DeSantis, Ma, Bryan & Jemal, 2014). In the period of 2012, a population of 14.1 million women was found to have cancer disease of which 1.7 million were diagnosed with breast cancer. Consequently, a record of 522,000 cases of breast cancer deaths was reported in the same year in which many of the causalities were from the developing nations (Cumber, Nchanji & Tsoka-Gwegweni, 2017). Numerous extrapolations project that the level of disease morbidity in women will reach over 19.3 million by the year 2025.
Is the Study Based On a Fixed or Open Population?
The studies are based on an open population since the membership is determined by the condition that is always transitory (Vandenbroucke & Pearce, 2012). This is because the researches focus on women currently affected by the disease, those vulnerable to the illness, and degree of future occurrence.
Cancer is the most common condition among individuals across the globe with breast cancer being the leading cause of morbidity and mortality in women. Researches on breast cancer are based on quantitative studies since the reports are derived through the analysis of numbers and figures of the affected. Equally, the extrapolations incorporate open population as a way of obtaining substantial evidence.
Albabtain, H., Alwhaibi, M., Alburaikan, K., & Asiri, Y. (2018). Quality of life and complementary and alternative medicine use among women with breast cancer. Saudi Pharmaceutical Journal, 26(3), 416-421. Retrieved from: https://www.sciencedirect.com/science/article/pii/S1319016417302372
Cumber, S. N., Nchanji, K. N., & Tsoka-Gwegweni, J. M. (2017). Breast cancer among women in sub-Saharan Africa: Prevalence and a situational analysis. Southern African Journal of Gynaecological Oncology, 9(2), 35-37. Retrieved from: https://medpharm.tandfonline.com/doi/full/10.1080/20742835.2017.1391467#.W4YDaDlRVdg
DeSantis, C., Ma, J., Bryan, L., & Jemal, A. (2014). Breast cancer statistics, 2013. CA: A Cancer Journal For Clinicians, 64(1), 52-62. Retrieved from: https://onlinelibrary.wiley.com/doi/abs/10.3322/caac.21203
Vandenbroucke, J. P., & Pearce, N. (2012). Incidence rates in dynamic populations. International Journal of Epidemiology, 41(5), 1472-1479. Retrieved from: https://academic.oup.com/ije/article/41/5/1472/713146