首页> 外文期刊>JAMA: the Journal of the American Medical Association >Analysis of observational studies in the presence of treatment selection bias: effects of invasive cardiac management on AMI survival using propensity score and instrumental variable methods.
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Analysis of observational studies in the presence of treatment selection bias: effects of invasive cardiac management on AMI survival using propensity score and instrumental variable methods.

机译:在存在治疗选择偏倚的情况下进行的观察性研究分析:使用倾向性评分和工具变量方法的侵入性心脏管理对AMI生存的影响。

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CONTEXT: Comparisons of outcomes between patients treated and untreated in observational studies may be biased due to differences in patient prognosis between groups, often because of unobserved treatment selection biases. OBJECTIVE: To compare 4 analytic methods for removing the effects of selection bias in observational studies: multivariable model risk adjustment, propensity score risk adjustment, propensity-based matching, and instrumental variable analysis. DESIGN, SETTING, AND PATIENTS: A national cohort of 122,124 patients who were elderly (aged 65-84 years), receiving Medicare, and hospitalized with acute myocardial infarction (AMI) in 1994-1995, and who were eligible for cardiac catheterization. Baseline chart reviews were taken from the Cooperative Cardiovascular Project and linked to Medicare health administrative data to provide a rich set of prognostic variables. Patients were followed up for 7 years through December 31, 2001, to assess the association between long-term survival and cardiac catheterization within 30 days of hospital admission. MAIN OUTCOME MEASURE: Risk-adjusted relative mortality rate using each of the analytic methods. RESULTS: Patients who received cardiac catheterization (n = 73 238) were younger and had lower AMI severity than those who did not. After adjustment for prognostic factors by using standard statistical risk-adjustment methods, cardiac catheterization was associated with a 50% relative decrease in mortality (for multivariable model risk adjustment: adjusted relative risk [RR], 0.51; 95% confidence interval [CI], 0.50-0.52; for propensity score risk adjustment: adjusted RR, 0.54; 95% CI, 0.53-0.55; and for propensity-based matching: adjusted RR, 0.54; 95% CI, 0.52-0.56). Using regional catheterization rate as an instrument, instrumental variable analysis showed a 16% relative decrease in mortality (adjusted RR, 0.84; 95% CI, 0.79-0.90). The survival benefits of routine invasive care from randomized clinical trials are between 8% and 21%. CONCLUSIONS: Estimates of the observational association of cardiac catheterization with long-term AMI mortality are highly sensitive to analytic method. All standard risk-adjustment methods have the same limitations regarding removal of unmeasured treatment selection biases. Compared with standard modeling, instrumental variable analysis may produce less biased estimates of treatment effects, but is more suited to answering policy questions than specific clinical questions.
机译:背景:在观察性研究中,接受治疗和未经治疗的患者之间的比较结果可能会因两组之间患者预后的差异而产生偏差,通常是由于未观察到的治疗选择偏差。目的:比较观察研究中消除选择偏差影响的四种分析方法:多变量模型风险调整,倾向得分风险调整,基于倾向的匹配和工具变量分析。设计,地点和患者:1994年至1995年,全国队列122,124名年龄在65-84岁,接受Medicare并接受急性心肌梗塞(AMI)住院治疗的患者。基线图审查来自心血管合作项目,并与Medicare卫生管理数据相关联,以提供一组丰富的预后变量。对患者进行了为期7年的随访,直至2001年12月31日,以评估入院30天内长期生存与心脏导管插入术之间的关联。主要观察指标:采用每种分析方法,风险调整后的相对死亡率。结果:接受心脏导管检查的患者(n = 73 238)比未接受心脏导管检查的患者年轻,AMI严重程度较低。使用标准的统计风险调整方法调整预后因素后,心脏导管插入术可使死亡率相对降低50%(对于多变量模型风险调整:调整后的相对风险[RR]为0.51; 95%的置信区间[CI], 0.50-0.52;对于倾向得分风险调整:调整后的RR为0.54; 95%CI为0.53-0.55;对于基于倾向的匹配:调整后的RR为0.54; 95%CI为0.52-0.56)。使用区域导管插入率作为一种仪器,仪器变量分析显示死亡率相对降低了16%(调整后的RR为0.84; 95%CI为0.79-0.90)。来自随机临床试验的常规侵入性治疗的生存获益在8%到21%之间。结论:心脏导管插入术与长期AMI死亡率的观察性联系的估计对分析方法高度敏感。所有标准的风险调整方法在消除无法衡量的治疗选择偏倚方面都具有相同的局限性。与标准建模相比,工具变量分析可能会产生较少的治疗效果偏倚估计,但比起具体的临床问题更适合回答政策问题。

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