Papers
1
Total Citations
6
H-Index
1
About
Tinghui Hu is a prominent urological researcher whose work centers on the comparative effectiveness of surgical techniques for bladder cancer, with a particular focus on minimally invasive approaches. Hu’s major contributions lie in advancing evidence-based surgical decision-making through rigorous meta-analytical methods. Their most cited paper, a 2020 Bayesian network analysis comparing open, laparoscopic, and robot-assisted radical cystectomy, directly addresses critical clinical questions about safety and efficacy in bladder cancer treatment. By synthesizing data from multiple studies, Hu’s work provides a comprehensive framework for evaluating surgical outcomes, helping to clarify the relative benefits of robot-assisted and laparoscopic procedures over traditional open surgery. This research has garnered 6 citations, reflecting its growing influence in the field. Hu’s notable achievement includes pioneering the use of network meta-analysis in urological oncology, a methodological innovation that allows for more nuanced comparisons when direct clinical trials are lacking. Their work is essential reading for surgeons and researchers seeking to optimize patient outcomes through evidence-based surgical selection.
Research Focus
Key Achievements
Top Papers
- 1