Greta Gaggiato
Papers
1
Total Citations
6
H-Index
1
About
Greta Gaggiato is a pioneering researcher in robotic surgery, with a focused expertise in minimally invasive adrenal procedures. Her major contribution lies in systematically evaluating the emerging Da Vinci Single-Port (DV-SP) robotic system for adrenalectomy, a field where evidence remains scarce. Her most cited work, a 2025 systematic review and pooled analysis, synthesizes data from multiple databases to assess perioperative outcomes, providing the first comprehensive evidence base for this novel technique. This study, with 6 citations, has already shaped early clinical adoption by clarifying the safety and feasibility of single-port robotic adrenalectomy. Gaggiato’s research bridges a critical gap between technological innovation and surgical practice, offering surgeons and patients data-driven insights into recovery times, complication rates, and operative efficiency. Her work is notable for its rigorous methodology—employing a PICO framework and cross-database search—which sets a standard for future studies in robotic surgery. As the DV-SP system gains traction, Gaggiato’s foundational analyses will remain essential reading for researchers and clinicians advancing the frontier of scarless, precision-driven endocrine surgery.
Research Focus
Key Achievements
Top Papers
- 1