Angelo Baggiani

University of Pisa

Papers

3

Total Citations

119

H-Index

3

About

Angelo Baggiani is a leading figure in surgical innovation, with a research focus that bridges robotic surgery, patient-centered outcomes, and infection control. His work is defined by rigorous comparative studies that challenge conventional surgical practices. In a landmark 2017 study, Baggiani conducted a propensity score-matched analysis comparing robotic versus open pancreatoduodenectomy, specifically investigating factors predictive of postoperative pancreatic fistula—a critical complication in pancreatic surgery. This work, cited 50 times, has helped refine patient selection for minimally invasive approaches. Baggiani also made significant contributions to thyroid surgery through a prospective randomized trial comparing cosmetic results and patient satisfaction between minimally invasive video-assisted thyroidectomy (MIVAT) and robot-assisted transaxillary thyroidectomy (RATT). This 2014 study, with 48 citations, provided the first direct evidence on aesthetic outcomes, demonstrating that RATT offers superior cosmetic satisfaction. More recently, Baggiani has applied his expertise to hospital epidemiology, implementing an environmental cleaning protocol using UV-C disinfection robots in critical care areas. His 2023 study on this topic, garnering 21 citations, addresses the pressing need for reducing healthcare-associated infections through advanced technology. Across these diverse domains, Baggiani’s work consistently emphasizes measurable patient benefits and operational efficiency.

Research Focus

Key Achievements

3
H-Index
3
Papers
119
Total Citations
40
Avg Citations/Paper
🏆 Most Cited Paper
Robotic versus open pancreatoduodenectomy: a propensity score-matched analysis based on factors predictive of postoperative pancreatic fistula
50 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 21
🏛 Institutions: University of Pisa

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago