Predicting the risk of breast cancer using Gail and International Breast Cancer Intervention Study (IBIS) models: A study in the southeast of Iran

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

MOMENI MOHSEN; HOSEINI ZAHRA; DANAEI MINA

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Iranian Journal of Obstetrics, Gynecology and Infertility Year:2019 | Volume:22 | Issue:9 Page(s): 15-24

Download Full-Text

Persian Verion

View:

436

Download:

Cites:

Information Journal Paper

Title

Predicting the risk of breast cancer using Gail and International Breast Cancer Intervention Study (IBIS) models: A study in the southeast of Iran

Author(s)

MOMENI MOHSEN | HOSEINI ZAHRA | DANAEI MINA | Issue Writer Certificate

Keywords

Breast cancerQ1

PreventionQ2

Risk assessmentQ1

Risk managementQ1

Abstract

Introduction: Breast cancer is the most common malignancy and the second leading cause of malignancy in women, worldwide. Early diagnosis can lead to timely treatment and increase the life expectancy of patients. Various models have been designed to determine the risk of disease and identifying high-risk women. This study was performed with aim to evaluate the risk of Breast cancer using different models in women of Kerman. Methods: This cross-sectional study was performed on 454 women aged 35-75 years referred to comprehensive health centers in Kerman in 2018. The questions from the Gail and IBIS questionnaire were asked to assess the risk of developing 5-year and lifetime Breast cancer risk. Data were analyzed by SPSS software (version 20) and Pearson correlation test. P<0. 05 was considered statistically significant. Results: Mean of 5-year risk score for Breast cancer was 0. 81 ± 0. 65% based on Gail model and 0. 81 ± 0. 58% based on IBIS model. Also, mean of lifetime risk based on Gail and IBIS models was 10. 53 ± 5. 52% and 11. 28 ± 3. 94%, respectively. There was a significant positive linear relationship between 5-year risk (r = 0. 67) and lifetime risk (r = 0. 51) on Gail and IBIS models (p<0. 001). Conclusion: In comprehensive health centers, Risk assessment models can be used to identify high risk people for Breast cancer. The Gail and IBIS models are relatively similar in risk prediction and their results are correlated.

Cites

No record.

References

Cite

APA: Copy

MOMENI, MOHSEN, HOSEINI, ZAHRA, & DANAEI, MINA. (2019). Predicting the risk of breast cancer using Gail and International Breast Cancer Intervention Study (IBIS) models: A study in the southeast of Iran. IRANIAN JOURNAL OF OBSTETRICS, GYNECOLOGY AND INFERTILITY, 22(9 ), 15-24. SID. https://sid.ir/paper/397303/en

Vancouver: Copy

MOMENI MOHSEN, HOSEINI ZAHRA, DANAEI MINA. Predicting the risk of breast cancer using Gail and International Breast Cancer Intervention Study (IBIS) models: A study in the southeast of Iran. IRANIAN JOURNAL OF OBSTETRICS, GYNECOLOGY AND INFERTILITY[Internet]. 2019;22(9 ):15-24. Available from: https://sid.ir/paper/397303/en

IEEE: Copy

MOHSEN MOMENI, ZAHRA HOSEINI, and MINA DANAEI, “Predicting the risk of breast cancer using Gail and International Breast Cancer Intervention Study (IBIS) models: A study in the southeast of Iran,” IRANIAN JOURNAL OF OBSTETRICS, GYNECOLOGY AND INFERTILITY, vol. 22, no. 9 , pp. 15–24, 2019, [Online]. Available: https://sid.ir/paper/397303/en

Related Journal Papers