Kyle Garcia

Papers

Total Citations

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About

Kyle Garcia is a rising surgical researcher whose work centers on refining predictive tools in minimally invasive urologic oncology. His primary research focus is the optimization of nephrometry scoring systems—specifically the R.E.N.A.L. score—to improve surgical outcomes for patients undergoing laparoscopic and robotic partial nephrectomy. In his most cited work, Garcia systematically evaluated which individual component of the R.E.N.A.L. scoring system best predicts achieving the "trifecta" outcome (negative surgical margins, no major complications, and warm ischemia time under 25 minutes) in these procedures. Analyzing a cohort of patients from 2018 to 2023, his findings offer actionable insights for surgeons seeking to preoperatively stratify risk and tailor surgical approach. While his citation count is currently modest (2 citations), this work represents a foundational contribution to evidence-based surgical planning. Garcia’s research directly addresses a critical gap in urologic oncology: moving beyond composite scores to isolate the most clinically meaningful anatomical predictors. His work is particularly valuable for trainees and practicing surgeons aiming to enhance precision in nephron-sparing surgery, and it signals a promising trajectory in outcome-driven surgical research.