Department of Pharmacy, University of Washington, Seattle, WA 98195, USA.
J Comp Eff Res. 2013 May;2(3):325-34. doi: 10.2217/cer.13.15.
Breast cancer tumor markers are used by some clinicians to screen for disease recurrence risk. Since there is limited evidence of benefit, additional research may be warranted.
To assess the potential value of a randomized clinical trial of breast tumor marker testing in routine follow-up of high-risk, stage II-III breast cancer survivors.
MATERIALS & METHODS: We developed a decision-analytic model of tumor marker testing plus standard surveillance every 3-6 months for 5 years. The expected value of sample information was calculated using probabilistic simulations and was a function of: the probability of selecting the optimal monitoring strategy with current versus future information; the impact of choosing the nonoptimal strategy; and the size of the population affected.
The value of information for a randomized clinical trial involving 9000 women was US$214 million compared with a cost of US$30-60 million to conduct such a trial. The probability of making an alternate, nonoptimal decision and choosing testing versus no testing was 32% with current versus future information from the trial. The impact of a nonoptimal decision was US$2150 and size of population impacted over 10 years was 308,000. The value of improved information on overall survival was US$105 million, quality of life US$37 million and test performance US$71 million.
Conducting a randomized clinical trial of breast cancer tumor markers appears to offer a good societal return on investment. Retrospective analyses to assess test performance and evaluation of patient quality of life using tumor markers may also offer valuable areas of research. However, alternative investments may offer even better returns in investments and, as such, the trial concept deserves further study as part of an overall research-portfolio evaluation.
一些临床医生使用乳腺癌肿瘤标志物来筛查疾病复发风险。由于获益证据有限,可能需要进一步研究。
评估在高危、Ⅱ-Ⅲ期乳腺癌幸存者的常规随访中进行乳腺肿瘤标志物检测的随机临床试验的潜在价值。
我们开发了一种肿瘤标志物检测加标准监测的决策分析模型,每 3-6 个月监测 5 年。样本信息的预期值是通过概率模拟计算的,是当前和未来信息选择最佳监测策略的概率、选择非最佳策略的影响以及受影响人群规模的函数。
涉及 9000 名女性的随机临床试验的信息价值为 2.14 亿美元,而开展此类试验的成本为 3000 万至 6000 万美元。与未来从试验中获得的信息相比,当前信息下选择替代、非最佳决策并选择检测与不检测的概率为 32%。非最佳决策的影响为 2150 美元,10 年内受影响的人群规模为 308000 人。改善总体生存信息的价值为 1.05 亿美元,改善生活质量信息的价值为 3700 万美元,改善检测性能信息的价值为 7100 万美元。
进行乳腺癌肿瘤标志物的随机临床试验似乎是一项良好的社会投资回报。回顾性分析评估测试性能和使用肿瘤标志物评估患者生活质量也可能提供有价值的研究领域。然而,替代投资可能会在投资方面带来更好的回报,因此,作为整体研究组合评估的一部分,该试验概念值得进一步研究。