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Application of the adjuvant! Online model to korean breast cancer patients: An assessment of prognostic accuracy and development of an alternative prognostic tool

机译:佐剂的应用! 在线模型韩国乳腺癌患者:评估替代预后工具的预后准确性和开发

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摘要

Background: Adjuvant! Online (AOL) is a Web-accessible risk-assessment model that predicts the mortality and the benefits of adjuvant therapy for breast cancer. Methods: Using the Yonsei Tumor Registry database, patients with T1-3, N0-3, M0 breast cancer who were treated at the Yonsei Cancer Center between 1986 and 1999 were entered into AOL version 8.0 to calculate survival. Results: The median age of the study population was 45 years (range, 23-76 years) and the median follow-up duration was 10.8 years (range, 0.1-25.9 years) for all 699 patients. AOL significantly overestimated overall survival (OS) (by 11.1 %, P < 0.001), breast cancer-specific survival (BCSS) (by 11.6 %, P < 0.001), and event free-free survival (EFS) (by 9.25 %, P < 0.001) in Korean patients. Therefore, we developed a Korean version of AOL (KAOL), which is a new model for prognosis based on AOL's parameters. The observed 10-year OS (61.4 %), BCSS (62.3 %), and EFS (59.1 %) and the KAOL predicted OS (61.5 %), BCSS (63.5 %) and EFS (57.6 %) were not different (P = 0.976, P = 0.771, and P = 0.674, respectively). Conclusions: AOL was not found to be suitable in Korean patients with breast cancer. The newly developed KAOL accurately predicted 10-year outcomes in Korean breast cancer patients.
机译:背景:佐剂!在线(AOL)是一种网络可访问的风险评估模型,预测乳腺癌辅助治疗的死亡率和益处。方法:使用Yonsei肿瘤注册表数据库,1986年至1999年间在Yonsei癌症中心治疗的T1-3,N0-3,M0乳腺癌的患者进入AOL版本8.0以计算生存。结果:研究人口的中位年龄为45岁(范围,23-76岁),所有699名患者的中位随访时间为10.8岁(范围,0.1-25.9岁)。 AOL显着高估了整体存活(OS)(11.1%,P <0.001),乳腺癌特异性存活(BCSS)(11.6%,P <0.001),以及无自由存活(EFS)(均为9.25%, P <0.001)在韩国患者中。因此,我们开发了一个韩国版的AOL(KAOL),这是一个基于AOL参数的预后的新模型。观察到的10年OS(61.4%),BCS(62.3%)和EFS(59.1%)和Kaol预测OS(61.5%),BCS(63.5%)和EF(57.6%)没有不同(P = 0.976,p = 0.771和P = 0.674分别)。结论:没有发现AOL适用于韩国乳腺癌患者。新开发的Kaol准确地预测了韩国乳腺癌患者的10年成果。

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  • 来源
    《Annals of surgical oncology》 |2013年第8期|共10页
  • 作者单位

    Division of Medical Oncology Department of Internal Medicine Yonsei University College of;

    Department of Biostatistics Yonsei University College of Medicine Seoul South Korea;

    Department of Biostatistics Yonsei University College of Medicine Seoul South Korea;

    Division of Medical Oncology Department of Internal Medicine Yonsei University College of;

    Division of Medical Oncology Department of Internal Medicine Yonsei University College of;

    Division of Medical Oncology Department of Internal Medicine Yonsei University College of;

    Department of Pathology Yonsei University College of Medicine Seoul South Korea BK2 1 Project;

    Division of Medical Oncology Department of Internal Medicine Yonsei University College of;

    Division of Medical Oncology Department of Internal Medicine Yonsei University College of;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 外科学;
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