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Analysis Study Research Paper | Statistics | India | Volume 12 Issue 12, December 2023 | Popularity: 5.1 / 10

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Estimating the Risk for Development of Breast Cancer using Gail Model

Uma G, Joyce Sharline S

Abstract: Background: Breast Cancer (BC) is the most recurrent malignancy in women worldwide and is curable in 70 - 80% of patients with early - stage and it is non - metastatic disease. The study?s goal is to examine and forecast the Gail Model effectiveness for the data sets. We applied the Gail Model retroactively using the records of individuals with breast cancer and benign breast illness. Gail et. al model is considered as one of the finest tool to estimate women?s risk of developing breast cancer and are useful in directing, screening and prevention efforts. Materials and Methods: Data were acquired from 115 women using a descriptive and Cross - Sectional technique. The National Cancer Institute's online version of the Breast Cancer Risk Assessment Tool (BCRAT) or the Gail Risk Assessment Tool was used to calculate the risk of breast cancer. BC predictors were identified using general linear modelling. Statistical Analysis: The data set was analysed using SPSS 23. Result: The average age of woman affected by breast cancer is 1.37 ? 1.09 years with the mean of the 5 - year risk for BC is1.3%?0.85. Meanwhile, the mean of the lifetime risks for BC is 9.9%?5.5, respectively. The majority of women being between the ages at menarche is 12 - 13 years (33%).40.9% of women experienced their first live birth between the ages of 20 - 24 years.54.8% of women had reported that zero first degree relatives are affected with BC.26 women reported more than one first - degree relative with BC (22.6%). Conclusion: The current study added to our understanding of the risk variables for five - year and lifetime invasive breast cancer in women.

Keywords: Gail Model (GM), Breast Cancer (BC), Risk assessment, Risk factors

Edition: Volume 12 Issue 12, December 2023

Pages: 990 - 996

DOI: https://www.doi.org/10.21275/SR231212195821

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