Murphy Mostellar
Papers
1
Total Citations
6
H-Index
1
About
Murphy Mostellar is a surgical researcher whose work focuses on advancing bariatric and metabolic surgery, particularly through the lens of robotic-assisted techniques and large-scale database analysis. Mostellar’s most cited study, a 2022 propensity score-adjusted analysis of the MBSAQIP database, compared multiple staple line treatment modalities in robot-assisted sleeve gastrectomy from 2015 to 2019. This work provides critical, evidence-based insights into optimizing surgical outcomes and patient safety in one of the most common bariatric procedures. By leveraging robust statistical methods on a national dataset, Mostellar’s research helps surgeons make data-driven decisions about staple line reinforcement and management, directly impacting clinical practice. With a citation count of 6 for this key paper, the work represents a meaningful contribution to the growing body of literature on robotic bariatric surgery. Mostellar’s dedication to rigorous, outcomes-focused research underscores a commitment to improving surgical quality and patient care in the evolving field of metabolic surgery.
Research Focus
Key Achievements
Top Papers
- 1