使用注册数据进行早期乳腺癌生存分析中的统计交互作用

Anne-Marie Danzel
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引用次数: 1

摘要

目的:通过相互作用分析探讨保乳手术、放疗与早期乳腺癌淋巴结状态的亚组效应。患者和方法:从SEER数据库中选择年龄40-69岁的未转移的T1-T2乳腺癌患者,并行腋窝淋巴结清扫术。该方法采用带交互项的比例风险回归模型。详细介绍了分析的步骤。结果:保乳手术、放疗、淋巴结受累与T分期之间存在显著的统计学交互作用。在综合因子分析结果中,与接受乳房切除术的患者相比,接受保乳手术而不进行放疗的患者没有生存劣势,无论t期和淋巴结是否受累。然而,在保乳手术中加入放疗与所有T期和所有程度淋巴结受累者的明显生存优势相关。结论:相互作用分析提供了复杂亚群效应的综合视图。结果的正式呈现可能是有用的,作为一个框架,为进一步的研究产生假设。
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Statistical Interaction In The Survival Analysis Of Early Breast Cancer Using Registry Data
Purpose: An interaction analysis is used to investigate subgroup effects between breast conserving surgery, radiotherapy and nodal status in early breast cancer. Patients and methods: Women selected from the SEER database, aged 40-69 with non metastasized T1-T2 breast cancer and in whom axillary node dissection was performed. The method uses proportional hazards regression models with interaction terms. Steps of the analysis are detailed. Results: Significant statistical interactions were found between breast conserving surgery, radiotherapy , nodal involvement and T stage. In an integrated factorial presentation of results, patients undergoing breast conserving surgery without radiotherapy were not at survival disadvantage as compared with patients undergoing mastectomy, irrespective of T-stage and irrespective of nodal involvement. However, the addition of radiotherapy to breast conserving surgery was associated with a distinct survival advantage observed in all T stage and all levels of nodal involvement. Conclusion: The analysis of interactions provides a comprehensive view of complex subgroup effects. The formal presentation of results might be useful as a framework to generate hypotheses for further investigations.
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