Papers
3
Total Citations
89
H-Index
2
About
Feibi Zheng is a surgical outcomes researcher whose work sits at the intersection of surgical innovation, quality improvement, and patient safety. Her most influential contribution, the 2023 paper “CUSUM learning curves: what they can and can’t tell us” (82 citations), has become a cornerstone reference for surgeons and educators seeking to rigorously assess skill acquisition during new procedures. By critically evaluating the cumulative sum (CUSUM) methodology, Zheng clarified both its power and its pitfalls, helping to standardize how learning curves are interpreted in the surgical literature. She has also investigated comparative effectiveness in bariatric surgery, examining thirty-day outcomes for laparoscopic versus robotic sleeve gastrectomy and the role of stapler choice. In the realm of opioid stewardship, her work on new persistent opioid use following inguinal hernia repair—comparing robotic-assisted, laparoscopic, and open approaches—addresses a pressing public health concern. Zheng’s research is characterized by its methodological rigor and its direct relevance to clinical decision-making, making her a trusted voice for trainees and practicing surgeons alike. Her growing citation record reflects the field’s recognition of her contributions to evidence-based surgical practice.
Research Focus
Key Achievements
Top Papers
- 1CUSUM learning curves: what they can and can’t tell us82 citations · 2023
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