Shi-Yi Wang and Weixiong Dang, Yale University School of Public Health; Shi-Yi Wang, Ilana Richman, Sarah S. Mougalian, Suzanne B. Evans, and Cary P. Gross, Yale Cancer Center; and Shi-Yi Wang, Ilana Richman, Sarah S. Mougalian, Suzanne B. Evans, and Cary P. Gross, Yale University School of Medicine, New Haven, CT.
J Clin Oncol. 2018 Jun 1;36(16):1619-1627. doi: 10.1200/JCO.2017.76.5941. Epub 2018 Apr 16.
Purpose Prior studies examining cost effectiveness of the 21-gene assay (Oncotype DX [ODX]) for women with hormone receptor-positive, early-stage breast cancer have yielded disparate results. We aimed to explore why these analyses may have yielded different conclusions. Methods We conducted a systematic literature review of cost-effectiveness analyses (CEAs) of ODX. We examined the extent to which the structure of CEA modeling, the assumptions of the models, and the selection of input parameters influenced cost-effectiveness estimates. We also explored the prevalence of industry funding and whether industry funding was associated with study designs favoring ODX. Results We identified 27 analyses, 15 of which received industry funding. In 18 studies, the clinical characteristics (eg, tumor size and grade) commonly used to make chemotherapy decisions were not incorporated into simulation modeling; thus, these studies would favor ODX being cost effective and might not reflect clinical practice. Most studies ignored the heterogeneous effect of ODX on chemotherapy use; only five studies assumed that ODX would increase chemotherapy use for clinically low-risk patients but decrease chemotherapy use for clinically high-risk patients. No study used population-based joint distributions of ODX recurrence score and tumor characteristics, and 12 studies inappropriately assumed that chemotherapy would increase distant recurrence for the low recurrence score group; both approaches overestimated the benefits of ODX. Industry-funded studies tended to favor ODX; all five studies that reported ODX as being cost saving were industry funded. In contrast, two studies that reported an incremental cost-effectiveness ratio > $50,000 per quality-adjusted life-year were not funded by industry. Conclusion Although a majority of published analyses indicated that ODX is cost effective, they incorporated study designs that can increase the risk of bias.
先前研究考察了 21 基因检测(Oncotype DX [ODX])在激素受体阳性、早期乳腺癌患者中的成本效益,结果存在差异。本研究旨在探讨这些分析可能得出不同结论的原因。
我们对 ODX 的成本效益分析(CEA)进行了系统的文献回顾。我们考察了 CEA 建模结构、模型假设以及输入参数选择在多大程度上影响成本效益估计。我们还探讨了行业资助的普遍程度,以及行业资助是否与有利于 ODX 的研究设计有关。
我们确定了 27 项分析,其中 15 项获得了行业资助。在 18 项研究中,通常用于做出化疗决策的临床特征(如肿瘤大小和分级)未纳入模拟建模;因此,这些研究有利于 ODX 的成本效益,可能无法反映临床实践。大多数研究忽略了 ODX 对化疗使用的异质性影响;只有 5 项研究假设 ODX 会增加临床低危患者的化疗使用,但会减少临床高危患者的化疗使用。没有研究使用基于人群的 ODX 复发评分和肿瘤特征联合分布,12 项研究不适当地假设化疗会增加低复发评分组的远处复发;这两种方法都高估了 ODX 的益处。行业资助的研究往往有利于 ODX;报告 ODX 具有成本效益的 5 项研究均获得了行业资助。相比之下,报告增量成本效益比(ICER)>50000 美元/质量调整生命年(QALY)的两项研究未获得行业资助。
尽管大多数已发表的分析表明 ODX 具有成本效益,但它们纳入了可能增加偏倚风险的研究设计。