Danli Shen
Papers
1
Total Citations
6
H-Index
1
About
Danli Shen is a surgical oncologist whose research focuses on improving prognostic accuracy and postoperative outcomes for patients with gastric cancer, particularly through the integration of nutritional and inflammatory biomarkers. In her landmark 2022 study, Shen developed and validated a novel nomogram incorporating the prognostic nutritional index (PNI) to predict survival in patients with stage I–III gastric cancer undergoing robotic radical gastrectomy. This work, which has garnered 6 citations, demonstrated that preoperative PNI is an independent predictor of long-term outcomes, offering clinicians a simple, cost-effective tool for risk stratification. By bridging the gap between nutritional status and surgical prognosis, Shen’s research advances personalized treatment strategies in minimally invasive gastric cancer surgery. Her contributions are particularly notable for emphasizing the role of host-related factors—rather than tumor characteristics alone—in shaping postoperative trajectories. Shen’s work stands at the intersection of precision oncology and surgical innovation, providing actionable insights that can guide adjuvant therapy decisions and follow-up intensity. Her nomogram represents a practical step toward integrating routine nutritional assessment into standard preoperative evaluation for gastric cancer patients.
Research Focus
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Top Papers
- 1