USC Schaeffer Center for Health Policy and Economics, Los Angeles, CA, USA.
Health Serv Res. 2013 Jun;48(3):1191-214. doi: 10.1111/1475-6773.12013. Epub 2012 Dec 3.
Assessing the real-world comparative effectiveness of common interventions is challenged by unmeasured confounding.
To determine whether the mortality benefit shown for drug-eluting stents (DES) over bare metal stents (BMS) in observational studies persists after controls for/tests for confounding.
DATA SOURCES/STUDY SETTING: Retrospective observational study involving 38,019 patients, 65 years or older admitted for an index percutaneous coronary intervention receiving DES or BMS in Pennsylvania in 2004-2005 followed up for death through 3 years.
Analysis was at the patient level. Mortality was analyzed with Cox proportional hazards models allowing for stratification by disease severity or DES use propensity, accounting for clustering of patients. Instrumental variables analysis used lagged physician stent usage to proxy for the focal stent type decision. A method originating in work by Cornfield and others in 1954 and popularized by Greenland in 1996 was used to assess robustness to confounding.
DES was associated with a significantly lower adjusted risk of death at 3 years in Cox and in instrumented analyses. An implausibly strong hypothetical unobserved confounder would be required to fully explain these results.
Confounding by indication can bias observational studies. No strong evidence of such selection biases was found in the reduced risk of death among elderly patients receiving DES instead of BMS in a Pennsylvanian state-wide population.
在观察性研究中,由于未测量的混杂因素的存在,评估常见干预措施的真实世界比较效果具有挑战性。
确定在对混杂因素进行控制/检验后,药物洗脱支架(DES)相对于裸金属支架(BMS)在观察性研究中显示的死亡率益处是否仍然存在。
数据来源/研究设置:这是一项回顾性观察性研究,涉及 2004 年至 2005 年在宾夕法尼亚州因指数经皮冠状动脉介入治疗而接受 DES 或 BMS 的 38019 名 65 岁或以上的患者,随访 3 年的死亡情况。
分析在患者水平上进行。使用 Cox 比例风险模型分析死亡率,允许按疾病严重程度或 DES 使用倾向分层,同时考虑患者的聚类。工具变量分析使用滞后医生支架使用情况来代表焦点支架类型决策。1954 年由 Cornfield 等人首创并于 1996 年由 Greenland 推广的方法用于评估对混杂因素的稳健性。
在 Cox 和工具变量分析中,DES 在 3 年时的调整死亡风险显著降低。需要一个假设的、不合常理的强未观察到的混杂因素才能完全解释这些结果。
指示性混杂会使观察性研究产生偏差。在宾夕法尼亚州全州范围内,接受 DES 而不是 BMS 的老年患者的死亡风险降低,并未发现这种选择偏差的有力证据。