2015
DOI: 10.1002/cam4.503
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Associations among ancestry, geography and breast cancer incidence, mortality, and survival in Trinidad and Tobago

Abstract: Breast cancer (BC) is the most common newly diagnosed cancer among women in Trinidad and Tobago (TT) and BC mortality rates are among the highest in the world. Globally, racial/ethnic trends in BC incidence, mortality and survival have been reported. However, such investigations have not been conducted in TT, which has been noted for its rich diversity. In this study, we investigated associations among ancestry, geography and BC incidence, mortality and survival in TT. Data on 3767 incident BC cases, reported … Show more

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Cited by 19 publications
(32 citation statements)
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“…There is a need for a national dialogue on regional disparities and the implementation of equal access and use of a quality treatment for cancer, with early detection, genetic and genomics research, molecular subtyping of breast cancer, sensitizing specific actions and appropriate therapy [29]. It must be considered that developing countries such as Brazil are subjected to serious problems in access to health services, diagnosis and modern treatments [30], which contributes to the increased mortality rates from breast cancer between regions and States.…”
Section: Discussionmentioning
confidence: 99%
“…There is a need for a national dialogue on regional disparities and the implementation of equal access and use of a quality treatment for cancer, with early detection, genetic and genomics research, molecular subtyping of breast cancer, sensitizing specific actions and appropriate therapy [29]. It must be considered that developing countries such as Brazil are subjected to serious problems in access to health services, diagnosis and modern treatments [30], which contributes to the increased mortality rates from breast cancer between regions and States.…”
Section: Discussionmentioning
confidence: 99%
“…Previously described imputation methodologies were used to ascribe ethnic ancestry to the gynecologic cancer cases with unreported ancestry [12]. Multi-variable-adjusted logistic regression models (adjusting for age at diagnosis, ethnic ancestry, geographic residence, tumor stage, and receipt of any treatment) were used to estimate mortality risks by gynecologic cancer site.…”
Section: Discussionmentioning
confidence: 99%
“…The methods used to calculate the age-standardized incidence and mortality rates, that were included in the calculations of the MIRs, were previously described [12]. Briefly, age-standardized incidence and mortality rates (per 100,000) were standardized to the Segi World Standard 1960 population [16] to allow for comparisons with IARC datasets.…”
Section: Discussionmentioning
confidence: 99%
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