Hypothesis: Transcatheter aortic valve replacement (TAVR) serves as a less-invasive treatment option for high-risk patients with severe aortic stenosis. Given the coexistence of obstructive coronary artery disease in patients with high-grade aortic stenosis (estimated to be 40-75%), there is inconsistent clinical data regarding potential mortality benefits of paired percutaneous coronary intervention (PCI) with TAVR procedures. Methods: We performed a literature search using PubMed, Embase, and Cochrane Library from inception through April 2022 to assess the mortality impact of preceding/concomitant PCI in patients undergoing transcatheter aortic valve replacement. The primary outcomes were 30-day all-cause mortality, 30-day cardiovascular mortality, and 6 months-1 year all-cause mortality. Secondary outcomes included 30-day myocardial infarction, stroke, major bleeding/vascular complications, and acute kidney injury. Results: 11 studies (10 retrospective cohort studies, 1 randomized control trial) involving 2791 patients were included in the meta-analysis. Compared to patients undergoing TAVR alone, the TAVR+PCI group showed no significant difference in 30-day all-cause mortality (RR 0.90, CI 0.66, 1.22, p =0.49), 30-day cardiovascular mortality (RR 0.71 CI 0.44, 1.14, p =0.16), or 6 months-1 year all-cause mortality (RR 0.94, CI 0.75, 1.18, p =0.57). Regarding secondary outcomes, 30-day myocardial infarction was higher in the TAVR+PCI group compared to the TAVR group (RR 3.09, CI 1.26, 7.57, p =0.01), while no significant differences were found in rates of 30-day stroke (RR 1.14, CI 0.56, 2.33, p =0.72), major bleeding/vascular complications (RR 1.11, CI 0.79, 1.56, p =0.55), and acute kidney injury (RR 1.07, CI 0.75, 1.54, p =0.71). Conclusion: Concomitant/preceding percutaneous coronary intervention does not confer any additional mortality benefit, and may increase the risk of 30-day myocardial infarction, in patients with high-grade aortic stenosis undergoing transcatheter aortic valve replacement. Further trials with large sample sizes are needed to confirm our findings.