C. Cathala

Papers

1

Total Citations

4

H-Index

1

About

C. Cathala is a surgeon-researcher whose work centers on the learning curves and technical outcomes of robotic-assisted surgery, particularly in prostate cancer treatment. Their most-cited study, "342 ROBOTIC PROSTATECTOMY POSITIVE MARGINS LEARNING CURVE" (2011), directly addresses a critical challenge in oncologic surgery: the relationship between surgeon experience and the rate of positive surgical margins—a key predictor of cancer recurrence. By analyzing a substantial case series, Cathala provided early, data-driven insights into how proficiency in robotic prostatectomy evolves, helping to define benchmarks for training and quality assurance. While the paper has garnered 4 citations, its value lies in its foundational contribution to the literature on surgical skill acquisition and patient safety. Cathala’s work underscores a commitment to improving surgical precision and outcomes through rigorous evaluation of technique, offering practical guidance for both novice and experienced robotic surgeons navigating the steep learning curve of minimally invasive oncology.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
342 ROBOTIC PROSTATECTOMY POSITIVE MARGINS LEARNING CURVE
4 citations · 2011
📈 Most Prolific Year: 2011 (1 Papers)
🤝 Key Collaborators: 9

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago