Breast cancer risk scores in a standard screening population

Eadie, Leila; Enfield, Louise; Taylor, Paul; Michell, Michael; Gibson, Adam

doi:10.2217/bmt.13.52

Cited by 8 publications

(11 citation statements)

References 70 publications

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“…In terms of lifetime risk, the result of 5.3% in present study is consistently lower than all other studies in the U.S. (12.3%) [31], Iran (9.0%) [27], Korea (7.9%) [28], Turkey (15%) [29] and the United Kingdom (9.0%) [30]. In addition, the proportion of Chinese women who had a five-year risk > 1.66% were also lower than the other studies [28,30]. Overall, the Chinese women in this study population were found to have generally lower risk of breast cancer based on the risk assessment of the Gail Model.…”

Section: Discussioncontrasting

confidence: 61%

“…Compared to studies outside of the United States, the results of the present study are comparable to the study in Iran [27] and lower than studies in Korea [28], Turkey [29] and the United Kingdom [30]. In terms of lifetime risk, the result of 5.3% in present study is consistently lower than all other studies in the U.S. (12.3%) [31], Iran (9.0%) [27], Korea (7.9%) [28], Turkey (15%) [29] and the United Kingdom (9.0%) [30]. In addition, the proportion of Chinese women who had a five-year risk > 1.66% were also lower than the other studies [28,30].…”

Section: Discussioncontrasting

confidence: 53%

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Breast Cancer Risk Assessment and Gail Model among Chinese Women

Wu¹

2015

J Epid Prev Med

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Purpose: The Gail Model has been used to quantify an individual woman's risk of developing breast cancer with clinical parameters; however, limited information has been available for application of this model among Chinese women. The aim of the present study was to estimate the five-year and lifetime breast cancer risk among women in Shanghai, China. Materials and Methods:In this cross-sectional study, a total of 2,340 women residing in Shanghai, China participated using the Gail Model to estimate their relative risk for breast cancer. Participants were ≥35 years of age without a history of breast cancer. Results:The mean age of the study subjects was 52.5 ± 10.8 years. Eighty-one women (3.5%) were classified as high-risk because their estimated five-year risk was over 1.66%. The estimated mean values for the five-year risk and lifetime risk for breast cancer were 0.73 ± 0.009% and 5.25 ± 0.005% respectively among study participants. For the lifetime risk, 17.6% of the women participants had a higher risk than the average woman. The risk increased with age and the history of breast cancer in the family among the study sample. Conclusion:Overall, Chinese women in this study population were found to have comparable five-year risk of breast cancer but a lower lifetime risk based on the risk assessment of the Gail Model. Considering the rapid increase in breast cancer incidence in recent decades in China, the development of breast cancer models targeting the Chinese female population is needed.

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Section: Discussioncontrasting

confidence: 61%

Section: Discussioncontrasting

confidence: 53%

Breast Cancer Risk Assessment and Gail Model among Chinese Women

Wu¹

2015

J Epid Prev Med

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“…The Gail model risk for each subject was calculated by Breast Cancer Risk Assessment Tool (BCRAT) (an interactive tool designed for estimating the women’s risk of developing invasive breast cancer). 12 , 16 - 18 …”

Section: Methodsmentioning

confidence: 99%

Assessing Breast Cancer Risk Estimates Based on the Gail Model and Its Predictors in Qatari Women

Bener

Çatan

Ayoubi

et al. 2017

J Prim Care Community Health

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Background: The Gail model is the most widely used breast cancer risk assessment tool. An accurate assessment of individual’s breast cancer risk is very important for prevention of the disease and for the health care providers to make decision on taking chemoprevention for high-risk women in clinical practice in Qatar. Aim: To assess the breast cancer risk among Arab women population in Qatar using the Gail model and provide a global comparison of risk assessment. Subjects and Methods: In this cross-sectional study of 1488 women (aged 35 years and older), we used the Gail Risk Assessment Tool to assess the risk of developing breast cancer. Sociodemographic features such as age, lifestyle habits, body mass index, breast-feeding duration, consanguinity among parents, and family history of breast cancer were considered as possible risks. Results: The mean age of the study population was 47.8 ± 10.8 years. Qatari women and Arab women constituted 64.7% and 35.3% of the study population, respectively. The mean 5-year and lifetime breast cancer risks were 1.12 ± 0.52 and 10.57 ± 3.1, respectively. Consanguineous marriage among parents was seen in 30.6% of participants. We found a relationship between the 5-year and lifetime risks of breast cancer and variables such as age, age at menarche, gravidity, parity, body mass index, family history of cancer, menopause age, occupation, and level of education. The linear regression analysis identified the predictors for breast cancer in women such as age, age at menarche, age of first birth, family history and age of menopausal were considered the strong predictors and significant contributing risk factors for breast cancer after adjusting for ethnicity, parity and other variables. Conclusion: The current study is the first to evaluate the performance of the Gail model for Arab women population in the Gulf Cooperation Council. Gail model is an appropriate breast cancer risk assessment tool for female population in Qatar.

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“…14 The GM is the most commonly used risk prediction model and has been well studied, validated and applied in various studies worldwide. [15][16][17] Therefore the aim of the current study was to apply the GM2 to the Iraqi population and assess whether it can be used to assess the prediction of BC for the Iraqi women.…”

Section: Introductionmentioning

confidence: 99%

Breast cancer risk assessment by Gail Model in women of Baghdad

Ewaid

Al-Azzawi

2017

Alexandria Journal of Medicine

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Objectives: To assess the high incidence of breast cancer (BC) and the effect of its early diagnosis on decreasing morbidity and mortality among Iraqi women. Methods: A descriptive cross-sectional study was conducted and data were collected from 250 women in Baghdad by a questionnaire consisted of demographic and breast cancer risk (BCR) factors questions. Brest cancer risk was calculated using the BCR Assessment Tool (BCRAT) of the National Cancer Institute's online version (Gail Model). Results: The average age of women was 45.46 ± 9.2 years. Twenty-six (10.4%) women have first degree relatives who had BC and three of them have more than one. More than half of the women 136 (54.4%) had their menarche at 12-13 years of age. Half of them 126 (50.4%) had their first birth at <30 year of age. The mean five year BCR for all women was 0.95 ± 1.4%, and 19 (7.6%) of them had a five year BCR P1.7%. Mean lifetime BCR up to age 90 years was 11.13 ± 4.7% and 6 (2.4%) women had high risk. Based on these findings, it can be suggested that employing Gail Model for BCR assessment can help healthcare providers in Iraq to estimate an individual's probability of developing BC for screening and prevention.

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Breast cancer risk scores in a standard screening population

Cited by 8 publications

References 70 publications

Breast Cancer Risk Assessment and Gail Model among Chinese Women

Breast Cancer Risk Assessment and Gail Model among Chinese Women

Assessing Breast Cancer Risk Estimates Based on the Gail Model and Its Predictors in Qatari Women

Breast cancer risk assessment by Gail Model in women of Baghdad

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