Peterson Kimberly, Dieperink Eric, Anderson Johanna, Boundy Erin, Ferguson Lauren, Helfand Mark
Evidence-based Synthesis Program (ESP) Coordinating Center, VA Portland Health Care System, Department of Veterans Affairs, 3710 SW U.S. Veterans Hospital Road, Mail Code: R&D 71, Portland, OR, 97239, USA.
Mental/Behavioral Health, Minneapolis VA Health Care System, Department of Veterans Affairs, Minneapolis, MN, USA.
Psychopharmacology (Berl). 2017 Jun;234(11):1649-1661. doi: 10.1007/s00213-017-4622-9. Epub 2017 Apr 29.
This study aims to conduct an evidence review of the effectiveness, harms, and cost-effectiveness of pharmacogenomics-guided antidepressant treatment for major depressive disorder.
We searched MEDLINE®, the Cochrane Central Registry of Controlled Trials, and PsycINFO through February 2017. We used prespecified criteria to select studies, abstract data, and rate internal validity and strength of the evidence (PROSPERO number CRD42016036358).
We included two randomized trials (RCT), five controlled cohort studies, and six modeling studies of mostly women in their mid-40s with few comorbidities. CNSDose (ABCB1, ABCC1, CYP2C19, CYP2D6, UGT1A1) is the only pharmacogenomics test that significantly improved remission (one additional remitting patient in 12 weeks per three genotyped, 95% CI 1.7 to 3.5) and reduced intolerability in an RCT. ABCB1 genotyping leads to one additional remitting patient in 5 weeks per three genotyped (95% CI 3 to 20), but tolerability was not reported. In an RCT, GeneSight (CYP2D6, CYPC19, CYP1A2, SLC6A4, HTR2A) did not statistically significantly improve remission, and evidence is inconclusive about its tolerability. Evidence is generally low strength because RCTs were few and underpowered. Cost-effectiveness is unclear due to lack of directly observed cost-effectiveness outcomes. We found no studies that evaluated whether pharmacogenomics shortens time to optimal treatment, whether improvements were due to switches to genetically congruent medication, or whether effectiveness varies based on test and patient characteristics.
Certain pharmacogenomics tools show promise of improving short-term remission rates in women in their mid-40s with few comorbidities. But, important evidence limitations preclude recommending their widespread use and indicate a need for further research.
本研究旨在对药物基因组学指导的重度抑郁症抗抑郁治疗的有效性、危害及成本效益进行证据综述。
我们检索了截至2017年2月的MEDLINE®、Cochrane对照试验中央注册库和PsycINFO。我们使用预先设定的标准来选择研究、提取数据,并对内部效度和证据强度进行评分(PROSPERO编号CRD42016036358)。
我们纳入了两项随机对照试验(RCT)、五项对照队列研究以及六项模型研究,研究对象大多为45岁左右的女性,合并症较少。CNSDose(ABCB1、ABCC1、CYP2C19、CYP2D6、UGT1A1)是唯一一项在随机对照试验中显著提高缓解率(每三位进行基因分型的患者中,12周时有一名额外的缓解患者,95%CI为1.7至3.5)并降低不耐受性的药物基因组学检测。ABCB1基因分型每三位进行基因分型的患者中,5周时有一名额外的缓解患者(95%CI为3至20),但未报告耐受性情况。在一项随机对照试验中,GeneSight(CYP2D6、CYPC19、CYP1A2、SLC6A4、HTR2A)在统计学上未显著提高缓解率,其耐受性证据也不明确。由于随机对照试验数量少且效力不足,证据总体强度较低。由于缺乏直接观察到的成本效益结果,成本效益尚不清楚。我们未发现有研究评估药物基因组学是否缩短达到最佳治疗的时间、改善是否归因于换用基因匹配的药物,或有效性是否因检测和患者特征而异。
某些药物基因组学工具显示出有望提高合并症较少的45岁左右女性的短期缓解率。但是,重要的证据局限性使得无法推荐广泛使用这些工具,并表明需要进一步研究。