Department of Health Care Policy and Management, Graduate School of Comprehensive Human Sciences, University of Tsukuba, Tsukuba, Ibaraki, Japan.
Breast Cancer Res Treat. 2012 Jun;133(2):759-68. doi: 10.1007/s10549-012-1979-7.
The 70-gene prognosis-signature is validated as a good predictor of recurrence for hormone receptor-positive (ER+), lymph node-negative (LN-), human epidermal growth factor receptor type 2-negative (HER2-) early stage breast cancer (ESBC) in Japanese patient population. Its high cost and potential in avoiding unnecessary adjuvant chemotherapy arouse interest in its economic impact. This study evaluates the cost-effectiveness of including the assay into Japan's social health insurance benefit package. An economic decision tree and Markov model under Japan's health system from the societal perspective is constructed with clinical evidence from the pool analysis of validation studies. One-way sensitivity analyses are also performed. Incremental cost-effectiveness ratio is estimated as ¥3,873,922/quality adjusted life year (QALY) (US$43,044/QALY), which is not more than the suggested social willingness-to-pay for one QALY gain from an innovative medical intervention in Japan, ¥5,000,000/QALY (US$55,556/QALY). However, sensitivity analyses show the instability of this estimation. The introduction of the assay into Japanese practice of ER+, LN-, HER2- ESBC treatment by including it to Japan's social health insurance benefit package has a reasonable chance to be judged as cost-effective and may be justified as an efficient deployment of finite health care resources.
70 基因预后标志物在日本激素受体阳性(ER+)、淋巴结阴性(LN-)、人表皮生长因子受体 2 阴性(HER2-)早期乳腺癌(ESBC)患者中被验证为复发的良好预测指标。其高成本和避免辅助化疗的潜力引起了人们对其经济影响的兴趣。本研究评估了将该检测纳入日本社会医疗保险福利计划的成本效益。从社会角度来看,根据验证研究的汇总分析中的临床证据,构建了一个基于经济决策树和 Markov 模型的日本卫生系统。还进行了单向敏感性分析。增量成本效益比估计为 ¥3,873,922/质量调整生命年(QALY)(US$43,044/QALY),这低于日本对创新医疗干预措施每获得一个 QALY 增益的社会意愿支付价格 ¥5,000,000/QALY(US$55,556/QALY)。然而,敏感性分析表明这一估计的不稳定性。通过将该检测纳入日本 ER+、LN-、HER2-ESBC 治疗的常规实践,并将其纳入日本社会医疗保险福利计划,该检测在日本的引入具有合理的成本效益判断机会,并可能被证明是对有限医疗资源的有效利用。