Literature DB >> 25640369

Breast cancer risk assessment using the Gail model: a Turkish study.

Nulufer Erbil1, Nursel Dundar, Cigdem Inan, Nurgul Bolukbas.   

Abstract

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±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±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±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.

Entities:  

Mesh:

Year:  2015        PMID: 25640369     DOI: 10.7314/apjcp.2015.16.1.303

Source DB:  PubMed          Journal:  Asian Pac J Cancer Prev        ISSN: 1513-7368


  13 in total

1.  Gail model utilization in predicting breast cancer risk in Egyptian women: a cross-sectional study.

Authors:  Basem Saleh; Mohamed A Elhawary; Moataz E Mohamed; Islam N Ali; Menna S El Zayat; Hadeer Mohamed
Journal:  Breast Cancer Res Treat       Date:  2021-04-14       Impact factor: 4.872

2.  Assessment of the Gail Model in Estimating the Risk of Breast Cancer: Effect of Cancer Worry and Risk in Healthy Women.

Authors:  Abdulbari Bener; Cem Cahit Barışık; Ahmet Acar; Yaşar Özdenkaya
Journal:  Asian Pac J Cancer Prev       Date:  2019-06-01

3.  Breast Cancer Risk Assessment Using the Gail Model and It’s Predictors in Saudi Women

Authors:  Hala Hazam Al Otaibi
Journal:  Asian Pac J Cancer Prev       Date:  2017-11-26

4.  Assessment of Breast Cancer Risk in an Iranian Female Population Using Bayesian Networks with Varying Node Number

Authors:  Abbas Rezaianzadeh; Mojtaba Sepandi; Salar Rahimikazerooni
Journal:  Asian Pac J Cancer Prev       Date:  2016-11-01

5.  Is There any Concordance between of IHC with FISH in HER2-Positive Breast Cancer Patients?

Authors:  Mehrdad Payandeh; Masoud Sadeghi; Edris Sadeghi; Alireza Janbakhsh
Journal:  Int J Hematol Oncol Stem Cell Res       Date:  2017-01-01

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

Authors:  Abdulbari Bener; Funda Çatan; Hanadi R El Ayoubi; Ahmet Acar; Wanis H Ibrahim
Journal:  J Prim Care Community Health       Date:  2017-03-18

7.  Relationship Study of The Verified H uman Epidermal Growth Factor Receptor 2 Amplification with Other Tumor Markers and Clinicohistopathological Characteristics in Patients with Invasive Breast Cancer, Using Chromogenic In Situ Hybridization.

Authors:  Abdolazim Sarli; Hossein Mozdarani; Nasser Rakhshani; Sohail Mozdarani
Journal:  Cell J       Date:  2019-06-15       Impact factor: 2.479

8.  Use of Receiver Operating Characteristic (ROC) Curve Analysis for Tyrer-Cuzick and Gail in Breast Cancer Screening in Jiangxi Province, China.

Authors:  Le Zhang; Zhigang Jie; Shengxi Xu; Liqun Zhang; Xiangqu Guo
Journal:  Med Sci Monit       Date:  2018-08-09

9.  Assessing Breast Cancer Risk with an Artificial Neural Network

Authors:  Mojtaba Sepandi; Maryam Taghdir; Abbas Rezaianzadeh; Salar Rahimikazerooni
Journal:  Asian Pac J Cancer Prev       Date:  2018-04-25

Review 10.  Assessment of the risk of developing breast cancer using the Gail model in Asian females: A systematic review.

Authors:  Solikhah Solikhah; Sitti Nurdjannah
Journal:  Heliyon       Date:  2020-04-22
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