Duke Cancer Institute, Duke University School of Medicine, Durham, NC; Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC; Department of Population Health Sciences, Duke University School of Medicine, Durham, NC.
Department of Population Health Sciences, Duke University School of Medicine, Durham, NC.
Clin Breast Cancer. 2020 Dec;20(6):487-494.e1. doi: 10.1016/j.clbc.2020.05.010. Epub 2020 May 26.
Our objective was to investigate why early studies regarding adoption of the 21-gene recurrence score (RS) assay did not show an initial reduction in the number of patients with breast cancer receiving real-world chemotherapy.
We addressed 2 sources of confounding suspected in previous studies: (1) the early time frame during the initial adoption phase of the RS assay, and (2) suspected selective, increased administration to patients more likely to have been chemotherapy candidates. To address selective use during initial adoption, we used updated SEER-Medicare data from 2004 and 2011. To address individual selection bias, we examined whether RS test utilization was negatively associated with rates of local chemotherapy use assessed at the hospital referral region level using conventional ordinary least squares and instrumental variable approaches to adjust for selection bias.
A total of 26,009 patients met inclusion criteria. Assay use was associated with a decrease in absolute percentage use of chemotherapy of 4.5% (95% confidence interval [CI], 3.2%-5.7%), which was even more pronounced in sensitivity analyses limited to later study years (2008-2011), with a decrease of 6.8% (95% CI, 5.3%-8.3%). Instrumental variable models yielded similar point estimates but were insufficiently powered to draw conclusions.
Receipt of the 21-gene assay was associated with decreased utilization of chemotherapy by 2008.
我们的目的是研究为什么早期关于采用 21 基因复发评分(RS)检测的研究并没有显示接受乳腺癌化疗的患者数量最初减少。
我们解决了先前研究中怀疑存在的两种混杂来源:(1)RS 检测最初采用阶段的早期时间框架;(2)怀疑对更有可能成为化疗候选者的患者进行选择性、增加给药。为了解决初始采用期间的选择性使用问题,我们使用了来自 2004 年和 2011 年的更新 SEER-Medicare 数据。为了解决个体选择偏差问题,我们使用常规最小二乘法和工具变量方法来评估 RS 检测利用与医院转诊区域水平局部化疗使用的比率之间的负相关关系,以调整选择偏差。
共有 26009 名患者符合纳入标准。检测使用与化疗绝对百分比使用的降低相关,降低了 4.5%(95%置信区间,3.2%-5.7%),在仅限于后期研究年份(2008-2011 年)的敏感性分析中更为明显,降低了 6.8%(95%置信区间,5.3%-8.3%)。工具变量模型得出了类似的点估计值,但没有足够的能力得出结论。
接受 21 基因检测与 2008 年化疗使用率的降低有关。