CBCRisk-Black: a personalized contralateral breast cancer risk prediction model for black women.
CBCRisk-Black: a personalized contralateral breast cancer risk prediction model for black women.
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CBCRisk-Black：针对黑人女性的个性化对侧乳腺癌风险预测模型。
DOI：
10.1007/s10549-022-06612-5
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发表时间：
2022-07
影响因子：
3.8
通讯作者：
Biswas, Swati
中科院分区：
文献类型：
--
作者：
Sajal, Ibrahim Hossain;Chowdhury, Marzana;Wang, Tingfang;Euhus, David;Choudhary, Pankaj K.;Biswas, Swati
黑人乳腺癌（BC）幸存者比白人患对侧乳腺癌（CBC）的风险更高。现有的CBC风险预测工具主要是基于白人女性开发的。为了解决这种种族差异，开发针对黑人女性的工具来帮助她们了解自己患CBC的实际风险是至关重要的。我们提出了一个绝对风险预测模型，CBCRisk-Black，专门针对黑色BC患者。它使用了来自两个来源的黑人妇女数据：乳腺癌监测联盟（BCSC）和监测、流行病学和最终结果（SEER）。首先，建立了一个匹配套索逻辑回归模型来估计相对风险（RR）。然后，将其与相关危险率和归因风险相结合，得到绝对风险。六重交叉验证用于内部验证CBCRisk-Black。我们还比较了CBCRisk- black和现有的CBC风险预测模型CBCRisk。RR模型使用了BCSC关于744名黑人女性（186例）的数据。CBCRisk-Black有四个危险因素（与基线相比的RR）：乳腺密度（异质性/极致密者为2.13）、BC家族史（阳性者为2.28）、首次BC肿瘤大小（T3/T4为2.14，TIS为1.56）和首次诊断BC的年龄（<40岁者为1.41）。CBCRisk- black 3年和5年预测的受试者工作特征曲线（AUC）下面积分别为0.72和0.65，而CBCRisk的AUC下面积分别为0.65和0.60。CBCRisk-Black通过提供更准确和个性化的CBC风险评估，可以作为临床医生咨询黑人BC患者的有用工具。
Black breast cancer (BC) survivors have a higher risk of developing contralateral breast cancer (CBC) than Whites. Existing CBC risk prediction tools are developed based on mostly White women. To address this racial disparity, it is crucial to develop tools tailored for Black women to help them inform about their actual risk of CBC. We propose an absolute risk prediction model, CBCRisk-Black, specifically for Black BC patients. It uses data on Black women from two sources: Breast Cancer Surveillance Consortium (BCSC) and Surveillance, Epidemiology, and End Results (SEER). First, a matched lasso logistic regression model for estimating relative risks (RR) is developed. Then, it is combined with relevant hazard rates and attributable risks to obtain absolute risks. Six-fold cross-validation is used to internally validate CBCRisk-Black. We also compare CBCRisk-Black with CBCRisk, an existing CBC risk prediction model. The RR model uses data from BCSC on 744 Black women (186 cases). CBCRisk-Black has four risk factors (RR compared to baseline): breast density (2.13 for heterogeneous/extremely dense), family history of BC (2.28 for yes), first BC tumor size (2.14 for T3/T4, 1.56 for TIS), and age at first diagnosis of BC (1.41 for <40). The area under the receiver operating characteristic curve (AUC) for 3- and 5-year predictions are 0.72 and 0.65 for CBCRisk-Black while those are 0.65 and 0.60 for CBCRisk. CBCRisk-Black may serve as a useful tool to clinicians in counseling Black BC patients by providing a more accurate and personalized CBC risk estimate.
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影响因子：
6.4
作者：
Watt, Gordon P.;John, Esther M.;Bandera, Elisa V.;Malone, Kathleen E.;Lynch, Charles F.;Palmer, Julie R.;Knight, Julia A.;Troester, Melissa A.;Bernstein, Jonine L.
通讯作者：
Bernstein, Jonine L.
影响因子：
3.9
作者：
Xiong Z;Yang L;Deng G;Huang X;Li X;Xie X;Wang J;Shuang Z;Wang X
通讯作者：
Wang X
影响因子：
8.8
作者：
Giannakeas，Vasily;Lim，David W.;Narod，Steven A.
通讯作者：
Narod，Steven A.
DOI：
10.1016/s0360-3016(03)00203-7
发表时间：
2003-07-15
影响因子：
7
作者：
Gao, X;Fisher, SG;Emami, B
通讯作者：
Emami, B
影响因子：
10.3
作者：
GAIL, MH;BRINTON, LA;MULVIHILL, JJ
通讯作者：
MULVIHILL, JJ