Papers
1
Total Citations
17
H-Index
1
About
Dengwei Lu is a leading researcher in thyroid cancer surgery, with a particular focus on optimizing surgical approaches for differentiated thyroid cancer. His most notable contribution is a comprehensive systematic review and Bayesian network meta-analysis comparing total thyroidectomy methods, which has garnered 17 citations since its 2023 publication. This landmark study systematically evaluated surgical integrity, safety, efficacy, and postoperative patient experience across emerging remote-access techniques and conventional approaches, providing crucial evidence for surgical decision-making. By synthesizing data from major databases including PubMed, Medline, Cochrane Library, and Web of Science, Lu's work has helped establish a more nuanced understanding of the trade-offs between different thyroidectomy methods. His research addresses the critical balance between oncological completeness and quality of life outcomes, directly impacting clinical guidelines for differentiated thyroid cancer management. Lu's meta-analytical approach demonstrates methodological rigor, making his findings highly influential among endocrine surgeons and oncologists seeking to personalize surgical care. His work continues to shape discussions on minimally invasive thyroid surgery and patient-centered outcomes in endocrine oncology.
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