Nadia Saeed
Papers
3
Total Citations
52
H-Index
3
About
Nadia Saeed is a surgical researcher specializing in minimally invasive and robotic-assisted techniques for esophageal cancer surgery, with a particular focus on optimizing outcomes across diverse patient populations. Her work centers on robotic-assisted Ivor-Lewis esophagectomy (RAIL), a complex procedure for treating esophageal cancer, and she has made meaningful contributions to understanding how patient-specific factors influence surgical results. Saeed's most impactful research investigates how body mass index and advanced age affect operative outcomes following robotic-assisted esophagectomy. Her 2016 study examining 129 patients — one of the largest single-center analyses of its kind — earned 25 citations and provided critical insight into how obesity shapes surgical risk in this technically demanding procedure. Complementing this, her studies on elderly patients undergoing RAIL, accumulating 22 citations, helped establish the feasibility and safety of robotic approaches in aging populations at a time when such evidence was limited. Conducted at a high-volume tertiary care center, her research benefits from robust clinical data and real-world applicability. For students and clinicians exploring the intersection of surgical innovation and patient complexity, Saeed's work offers evidence-based guidance that continues to inform how surgeons approach esophageal cancer care across varied patient demographics.
Research Focus
Key Achievements
Top Papers
- 1
- 2Robotic assisted Ivor Lewis esophagectomy in the elderly patient.22 citations · 2015
- 3Robotic-assisted Ivor-Lewis esophagectomy in the elderly patient.5 citations · 2014