Addressing unmeasured confounding bias with a prior knowledge guided approach: coronary artery bypass grafting (CABG) versus percutaneous coronary intervention (PCI) in patients with stable ischemic heart disease.

ABSTRACT: Unmeasured confounding undermines the validity of observational studies. Although randomized clinical trials (RCTs) are considered the "gold standard" of study types, we often observe divergent findings between RCTs and empirical settings. We present the "L-table", a simulation-based, prior knowledge (e.g., RCTs) guided approach that estimates the true effect adjusting for the potential influence of unmeasured confounders when using observational data. Using electronic health record data from Kaiser Permanente Southern California, we compare the effectiveness of coronary artery bypass grafting (CABG) and percutaneous coronary intervention (PCI) on endpoints at 1, 3, 5, and 10 years for patients with stable ischemic heart disease. We applied the L-table approach to the propensity score adju

SUBMITTER: Duan L 

PROVIDER: S-EPMC9210342 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature