Discriminatory Accuracy of the Gail Model for Breast Cancer Risk Assessment among Iranian Women

Background: The Gail model is the most well-known tool for breast cancer risk assessment worldwide. Although it was validated in various Western populations, inconsistent results were reported from Asian populations. We used data from a large case-control study and evaluated the discriminatory accur...

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Main Authors: Sahar ROSTAMI, Ali RAFEI, Maryam DAMGHANIAN, Zohreh KHAKBAZAN, Farzad MALEKI, Kazem ZENDEHDEL
Format: Article
Language:English
Published: Tehran University of Medical Sciences 2020-10-01
Series:Iranian Journal of Public Health
Subjects:
Online Access:https://ijph.tums.ac.ir/index.php/ijph/article/view/15607
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spelling doaj-479d15682b2c4b8399767ebb2b3b08ea2020-12-02T18:55:06ZengTehran University of Medical SciencesIranian Journal of Public Health2251-60852251-60932020-10-0149112205221310.18502/ijph.v49i11.473915607Discriminatory Accuracy of the Gail Model for Breast Cancer Risk Assessment among Iranian WomenSahar ROSTAMI0Ali RAFEI1Maryam DAMGHANIAN2Zohreh KHAKBAZAN3Farzad MALEKI4Kazem ZENDEHDEL51. Department of Reproductive Health and Midwifery, School of Nursing and Midwifery, Tehran University of Medical Sciences, Tehran, Iran 2. Cancer Research Center, Cancer Institute of Iran, Tehran University of Medical Sciences, Tehran, IranCancer Research Center, Cancer Institute of Iran, Tehran University of Medical Sciences, Tehran, IranNursing and Midwifery Care Research Center, Tehran University of Medical Sciences, Tehran, IranNursing and Midwifery Care Research Center, Tehran University of Medical Sciences, Tehran, Iran1. Cancer Research Center, Cancer Institute of Iran, Tehran University of Medical Sciences, Tehran, Iran 2. Social Determinants of Health Research Center, Urmia University of Medical Sciences, Urmia, Iran1. Cancer Research Center, Cancer Institute of Iran, Tehran University of Medical Sciences, Tehran, Iran 2. Cancer Biology Research Center, Cancer Institute of Iran, Tehran University of Medical Sciences, Tehran, Iran 3. Breast Disease Research Center, Cancer Institute of Iran, Tehran University of Medical Sciences, Tehran, IranBackground: The Gail model is the most well-known tool for breast cancer risk assessment worldwide. Although it was validated in various Western populations, inconsistent results were reported from Asian populations. We used data from a large case-control study and evaluated the discriminatory accuracy of the Gail model for breast cancer risk assessment among the Iranian female population. Methods: We used data from 942 breast cancer patients and 975 healthy controls at the Cancer Institute of Iran, Tehran, Iran, in 2016. We refitted the Gail model to our case-control data (the IR-Gail model). We compared the discriminatory power of the IR-Gail with the original Gail model, using ROC curve analyses and estimation of the area under the ROC curve (AUC). Results: Except for the history of biopsies that showed an extremely high relative risk (OR=9.1), the observed ORs were similar to the estimates observed in Gail's study. Incidence rates of breast cancer were extremely lower in Iran than in the USA, leading to a lower average absolute risk among the Iranian population (2.78, ±SD 2.45). The AUC was significantly improved after refitting the model, but it remained modest (0.636 vs. 0.627, ΔAUC = 0.009, bootstrapped P=0.008). We reported that the cut-point of 1.67 suggested in the Gail study did not discriminate between breast cancer patients and controls among the Iranian female population. Conclusion: Although the coefficients from the local study improved the discriminatory accuracy of the model, it remained modest. Cohort studies are warranted to evaluate the validity of the model for Iranian women.https://ijph.tums.ac.ir/index.php/ijph/article/view/15607breast neoplasmsrisk assessmentmodelsstatisticallogistic models
collection DOAJ
language English
format Article
sources DOAJ
author Sahar ROSTAMI
Ali RAFEI
Maryam DAMGHANIAN
Zohreh KHAKBAZAN
Farzad MALEKI
Kazem ZENDEHDEL
spellingShingle Sahar ROSTAMI
Ali RAFEI
Maryam DAMGHANIAN
Zohreh KHAKBAZAN
Farzad MALEKI
Kazem ZENDEHDEL
Discriminatory Accuracy of the Gail Model for Breast Cancer Risk Assessment among Iranian Women
Iranian Journal of Public Health
breast neoplasms
risk assessment
models
statistical
logistic models
author_facet Sahar ROSTAMI
Ali RAFEI
Maryam DAMGHANIAN
Zohreh KHAKBAZAN
Farzad MALEKI
Kazem ZENDEHDEL
author_sort Sahar ROSTAMI
title Discriminatory Accuracy of the Gail Model for Breast Cancer Risk Assessment among Iranian Women
title_short Discriminatory Accuracy of the Gail Model for Breast Cancer Risk Assessment among Iranian Women
title_full Discriminatory Accuracy of the Gail Model for Breast Cancer Risk Assessment among Iranian Women
title_fullStr Discriminatory Accuracy of the Gail Model for Breast Cancer Risk Assessment among Iranian Women
title_full_unstemmed Discriminatory Accuracy of the Gail Model for Breast Cancer Risk Assessment among Iranian Women
title_sort discriminatory accuracy of the gail model for breast cancer risk assessment among iranian women
publisher Tehran University of Medical Sciences
series Iranian Journal of Public Health
issn 2251-6085
2251-6093
publishDate 2020-10-01
description Background: The Gail model is the most well-known tool for breast cancer risk assessment worldwide. Although it was validated in various Western populations, inconsistent results were reported from Asian populations. We used data from a large case-control study and evaluated the discriminatory accuracy of the Gail model for breast cancer risk assessment among the Iranian female population. Methods: We used data from 942 breast cancer patients and 975 healthy controls at the Cancer Institute of Iran, Tehran, Iran, in 2016. We refitted the Gail model to our case-control data (the IR-Gail model). We compared the discriminatory power of the IR-Gail with the original Gail model, using ROC curve analyses and estimation of the area under the ROC curve (AUC). Results: Except for the history of biopsies that showed an extremely high relative risk (OR=9.1), the observed ORs were similar to the estimates observed in Gail's study. Incidence rates of breast cancer were extremely lower in Iran than in the USA, leading to a lower average absolute risk among the Iranian population (2.78, ±SD 2.45). The AUC was significantly improved after refitting the model, but it remained modest (0.636 vs. 0.627, ΔAUC = 0.009, bootstrapped P=0.008). We reported that the cut-point of 1.67 suggested in the Gail study did not discriminate between breast cancer patients and controls among the Iranian female population. Conclusion: Although the coefficients from the local study improved the discriminatory accuracy of the model, it remained modest. Cohort studies are warranted to evaluate the validity of the model for Iranian women.
topic breast neoplasms
risk assessment
models
statistical
logistic models
url https://ijph.tums.ac.ir/index.php/ijph/article/view/15607
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