Paul Sykes
Papers
2
Total Citations
3
H-Index
1
About
Paul Sykes is a colorectal surgeon and researcher whose work focuses on advancing robotic surgical techniques in both elective and emergency settings. His primary research areas include rectal cancer surgery, minimally invasive approaches, and the safety and feasibility of robotic platforms in general surgery. Sykes is best known for developing a predictive risk model for positive circumferential resection margin (CRM) after robot-assisted total mesorectal excision (TME)—a critical factor in rectal cancer outcomes. His landmark 2025 study, with 2 citations, identifies key predictors of CRM positivity, directly informing surgical planning and potentially reducing local recurrence rates. In parallel, Sykes has pioneered the evaluation of robotic emergency general surgery (EGS), demonstrating through case-matched comparisons that robotic approaches can be safely adopted in high-volume tertiary centres, even during the learning curve. With 1 citation for this work, he challenges the notion that robotics is limited to elective care. Sykes’ contributions bridge a gap between innovation and clinical safety, offering evidence-based frameworks for expanding robotic surgery’s role. His research is essential reading for surgeons and trainees interested in the future of minimally invasive colorectal and emergency care.
Research Focus
Key Achievements
Top Papers
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- 2