Breast Cancer Survey Paper

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Breast cancer is the most frequently recognized cancer in American women with 209,060 and 54,010 approximated cases of invasive breast cancer in the United States. The Breast Cancer Risk Assessment Tool was utilized in this survey to project a woman’s risk of developing invasive breast cancer. A total of 10 culturally diversified participants were included in the survey, consists of African American, White American, Asian, and Hispanic. The survey was initiated and distributed using printed questionnaires obtained from National Cancer Institute website. In addition, the questionnaires are composed of risk factors questions that inquired the participants about their breast cancer history, genetics, history of breast biopsy, race, age, first …show more content…
Of the 10 participants, none of them have a medical history of breast cancer, 8 out of 10 has no genetic mutation and 2 participants have an unknown genetic mutation. It seems like based on these results, the patient’s own medical history of breast cancer and genetic mutation does not generate a significant contribution to the accuracy of this tool. It is noteworthy to mention, that the participants with the higher number of relative who has had breast cancer yielded a high number of developing breast cancer in 5 years (2.2%). According to Bevers et al., (2010) the first step in the primary assessment is a comprehensive examination and evaluation of personal and family background of the patients. Moreover, the significance of the risk increases depending on the number of relatives with the diagnosis and how closely they are related. Based on the data gathered, the demographics (ethnicity/race) showed that Whites has the lowest percentage (0.3%) and the highest (3%) risk of developing breast cancer in 5 years, as well as the lifetime risk (10.4% -18.1%). According to National Cancer Institute (NCI), in the United States, breast cancer is generally diagnosed in white women than any other ethnic group. The survey also suggests that the age plays a pivotal role in the diagnosing the risk (age 35 -38 yielded 0.3% versus age 46 - 60 (1.3

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