Lars Arendt‐Nielsen
Papers
5
Total Citations
35
H-Index
4
About
Lars Arendt‑Nielsen is a leading figure in pain research, with a particular focus on chronic postoperative pain and its underlying mechanisms. His work has significantly advanced the understanding of how surgical techniques—such as robot‑assisted laparoscopic hysterectomy for endometrial cancer—influence the development of persistent pain. Through studies integrating quantitative sensory testing (QST) and metabolic profiling, he has identified preoperative risk factors and potential biomarkers that could predict which patients are most vulnerable to chronic pain after surgery. His most cited paper (12 citations) established the prevalence and impact of chronic pain following robot‑assisted hysterectomy, while subsequent work (8 and 7 citations) explored QST and metabolic predictors, respectively. Arendt‑Nielsen’s contributions have helped shift the clinical focus from acute surgical outcomes to long‑term patient quality of life, highlighting the need for personalized pain‑management strategies. His research is widely referenced by clinicians and scientists seeking to reduce the burden of chronic postsurgical pain, and he continues to shape the field through innovative, interdisciplinary approaches.
Research Focus
Key Achievements
Top Papers
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