A cost-effectiveness analysis of sentinel lymph node biopsy compared with lymphadenectomy in intermediate- and high-risk endometrial carcinoma

Background Sentinel lymph node biopsy (SLN) is increasingly used for surgical staging of endometrial carcinoma. Objective To estimate the effect and cost-effectiveness of the implementation of an SLN algorithm for surgical staging in patients with intermediate- and high-risk endometrial carcinoma compared with lymphadenectomy. Methods We performed a model-based, cost-effectiveness analysis using primary data from a tertiary referral hospital that included 829 patients with endometrial carcinoma undergoing surgical staging. We quantified the health and economic outcomes from two time periods, before and after implementation of the SLN algorithm by robotic surgery. Costs were measured directly from the hospital’s financial department, while long-term health outcomes were estimated using self-reported lymphedema and health-related quality-of-life among survivors. Sensitivity analyses were conducted to evaluate uncertainty. Results We projected that the SLN implementation period, predominately reflecting use of robotic SLN, simultaneously improved health outcomes (0.08 incremental quality-adjusted life-years) and lowered costs (US$1051) compared with the prior period involving robotic or open lymphadenectomy. SLN remained more beneficial and less costly across key sensitivity analyses—namely, varying the cost of the robotic platform, surgical equipment, number of yearly robotic procedures, percentage of robotic procedures versus percentage of laparotomies, length of stay, and lymphedema development. After 1000 simulations of the model, SLN implementation provided greater health benefits for lower costs (ie, cost saving) in 89% of simulations. Conclusion Implementation of an SLN algorithm in the staging of intermediate- and high-risk endometrial carcinoma improved health outcomes for lower costs compared with lymphadenectomy. Cost-effectiveness could further improve by continuing to increase the proportion of robotic procedures.