DOI QR코드

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Breast Cancer Risk Assessment Using the Gail Model: a Turkish Study

  • Erbil, Nulufer (Department of Nursing, School of Health, Ordu University) ;
  • Dundar, Nursel (Special Anlam Anatolian Health Vocational High School) ;
  • Inan, Cigdem (Disabled Care and Rehabilitation Programme, Vocational Higher School of Ikizce, Ordu University) ;
  • Bolukbas, Nurgul (Department of Nursing, School of Health, Ordu University)
  • 발행 : 2015.02.04

초록

Purpose: This study was conducted to determine risk of developing of breast cancer among Turkish women. Materials and Methods: Using a descriptive and cross-sectional approach, data were collected from 231 women. Breast cancer risk was calculated using the National Cancer Institute's on-line verson of called as the Breast Cancer Risk Assessment Tool or the Gail Risk Assesment Tool. Results: The average age of women was $45.0{\pm}8.06$ years. It was revealed that 6.1% of participants reported having first degree relatives who had had breast cancer, with only four women having more than one first-degree relative affected (1.7%). The mean five-year breast cancer risk for all women was $0.88{\pm}0.91%$, and 7.4% of women had a five-year breast cancer risk >1.66% in this study. Mean lifetime breast cancer risk up to age 90 years was $9.3{\pm}5.2%$. Conclusions: The breast cancer risk assessment tool can help in the clinical management of patient seeking advice concerning screening and prevention. Healthcare providers in Turkey can use this approach to estimate an individual's probability of developing breast cancer.

키워드

참고문헌

  1. Abu-Rustum NR, Herbolsheimer H (2001). Breast cancer risk assessment in indigent women at a public hospita. Gynecologic Oncol, 81, 287-90. https://doi.org/10.1006/gyno.2001.6160
  2. American Cancer Society (2014). What are the risk factors for breast cancer?. http://www.cancer.org/cancer/breastcancer/detailedguide/breast-cancer-risk-factors, (Accessed: 19.10.2014)
  3. Amir E, Freedman OC, Seruga B, Evans DG (2010). Assessing women at high risk of breast cancer: review of risk assessment models. J Natl Cancer Inst, 102, 1-12. https://doi.org/10.1093/jnci/djp493
  4. Beckmann MW, Bani MR, Fasching PA, Strick R, Lux MP. (2007). Risk and risk assesment for breast cancer. Molecular and clinical aspects. Maturitas, 57, 56-60. https://doi.org/10.1016/j.maturitas.2007.02.013
  5. Bevers TB, Anderson BO, Bonaccio E, et al (2009). NCCN clinical practice guidelines in oncology: breast cancer screening and diagnosis. J Natl Compr Canc Netw, 7, 1060-96.
  6. Chay WY, Ong WS, Tan PH, et al (2012). Validation of the Gail model for predicting individual breast cancer risk in a prospective nationwide study of 28,104 Singapore women. Breast Cancer Res, 14, 19.
  7. Ceber E, Mermer G, OkCin F, et al (2013). Breast cancer risk and early diagnosis applications in Turkish women aged 50 and over. Asian Pac J Cancer Prev, 14, 5877-82. https://doi.org/10.7314/APJCP.2013.14.10.5877
  8. Davis S, Steward S, Bloom J (2004). Increasing the accuracy of perceived breast cancer risk: results from a randomized trial with Cancer Information Service callers. Prev Med, 39, 64-73. https://doi.org/10.1016/j.ypmed.2004.02.043
  9. Erbil N, Bolukbas N (2012). Beliefs, attitudes, and behavior of Turkish women about breast cancer and breast selfexamination according to a Turkish version of the champion health belief model scale. Asian Pac J Cancer Prev, 13, 5823-28. https://doi.org/10.7314/APJCP.2012.13.11.5823
  10. Ferrer J, Neyro JL, Estevez A (2005). Identification of risk factors for prevention and early diagnosis of a-symptomatic postmenopausal women. Maturitas, 15, 7-22.
  11. Gail, MH, Brinton LA, Byar DP, et al (1989). Projecting individualized probabilities of developing breast cancer for white females who are being examined annually. J Natl Cancer Inst, 81, 1879-86. https://doi.org/10.1093/jnci/81.24.1879
  12. Graubard BI, Freedman AN, Gail MH (2010). Five-year and lifetime risk of breast cancer among U.S. subpopulations: implications for magnetic resonance imaging screening. Cancer Epidemiol Biomarkers Prev, 19, 2430-6. https://doi.org/10.1158/1055-9965.EPI-10-0324
  13. Katapodi MC, Lee KA, Facione NC, Dodd MJ (2004). Predictors of perceived breast cancer risk and the relation between perceived risk and breast cancer screening: A meta-analytic review. Prev Med, 38, 388-402. https://doi.org/10.1016/j.ypmed.2003.11.012
  14. Kocak S, Celik L, Ozbas S, et al (2011). Risk factors in breast, cancer, risk assessment and prevention: 2010 Istanbul consensus meeeting report. J Breast Health, 7, 47-67.
  15. Mermer G, Meseri R (2011). Evaluation of breast cancer risk status of women aged 40 and above, living in Kemalpasa District, Izmir. STED J, 20, 51-6.
  16. Ministry of Health (2014). Turkiye Kanser Istatistikleri. http://www.kanser.gov.tr/ Dosya/ca_istatistik/2009kanseraporu.pdf (Accessed: 19.10.2014).
  17. National Cancer Institude (2014). Breast cancer risk assesment tool, http://www.cancer.gov/bcrisktool/ (Accessed: 20.09.2014).
  18. Pan Lei, Han Li-Li, Tao Li-Xin, et al (2013). Clinical risk factor analysis for breast cancer: 568,000 subjects undergoing breast cancer secreening in Beijing 2009. Asian Pacific J Cancer Prev, 14, 5325-9. https://doi.org/10.7314/APJCP.2013.14.9.5325
  19. Sakorafas GH, Krespis E, Pavlakis G (2002). Risk estimation for breast cancer development: A clinical perspective. Surg Oncol, 10, 183-92. https://doi.org/10.1016/S0960-7404(02)00016-6
  20. Seyednoori T, Pakseresht S, Roushan Z (2012). Risk of developing breast cancer by utilizing Gail model. Women and Health, 52, 391-402. https://doi.org/10.1080/03630242.2012.678476
  21. Tahan G, Ziauddin MF, Soran A (2009). The role of “high risk clinics” in screening and managing breast cancer. J Breast Health, 5, 167-76.
  22. Vogel, VG (2000). Breast cancer prevention: A review of current evidence. CA: A Cancer J for Clinicians, 50, 156-70. https://doi.org/10.3322/canjclin.50.3.156
  23. WHO (2014). Breast cancer: prevention and control. http://www.who.int/cancer/ detection/breastcancer/en/index1.html (Accessed:19.10.2014).
  24. Yilmaz M, Guler G, Bekar M, Guler N (2011). Risk of breast cancer, health beliefs and screening behaviour among Turkish Academic women and housewives. Asian Pac J Cancer Prev, 12, 817-22.

피인용 문헌

  1. Assessing Breast Cancer Risk Estimates Based on the Gail Model and Its Predictors in Qatari Women vol.8, pp.3, 2017, https://doi.org/10.1177/2150131917696941