Kazunori Tokuda
Papers
1
Total Citations
4
H-Index
1
About
Kazunori Tokuda is a surgical researcher whose work centers on advancing minimally invasive techniques for colorectal cancer treatment, with a particular focus on comparing robotic and laparoscopic approaches. His most cited study, a 2023 propensity score-matched analysis of short-term outcomes in rectal cancer surgery, directly addresses the ongoing debate over whether robot-assisted surgery offers measurable advantages over conventional laparoscopy. By meticulously analyzing data from 207 patients, Tokuda provides critical evidence on operative outcomes, recovery metrics, and complication rates, helping to clarify the clinical trade-offs between these technologies. Though early in his citation trajectory—with this key paper accumulating 4 citations—his work contributes to a rapidly evolving field where surgical precision and patient recovery are paramount. Tokuda’s research is notable for its rigorous methodological design, employing propensity score matching to reduce selection bias, a technique that strengthens the validity of comparative effectiveness studies. For students and researchers in surgical oncology, his findings offer practical insights into the real-world benefits and limitations of robotic systems, informing both clinical decision-making and future innovation in rectal cancer care.
Research Focus
Key Achievements
Top Papers
- 1