Impact of obesity on perioperative outcomes in robot-assisted surgery for endometrial cancer: A single-center study of 119 cases
Abstract
Introduction: Whether obesity (body mass index [BMI] ≥30 kg/m²) independently affects perioperative outcomes in robot-assisted surgery for endometrial cancer remains uncertain. Materials and methods: We conducted a retrospective single-center cohort including 119 consecutive patients who underwent a uniform robotic procedure-total hysterectomy with bilateral salpingo-oophorectomy and pelvic lymphadenectomy using the da Vinci Xi system-between November 2018 and June 2025. Patients were grouped by BMI ≥ 30 (n = 32) versus < 30 (n = 87). Outcomes were estimated blood loss (EBL), operative time, lymph-node yield, and length of stay (LOS). Multivariable linear regression adjusted for age, prior abdominal/pelvic surgery, comorbidity history (diabetes, hypertension, dyslipidemia), operating surgeon, and surgical year (2018-2020 vs 2021-2025). Results: BMI ≥ 30 was independently associated with higher EBL and longer operative time, and prior surgery also prolonged operative time. Surgeon effects were pronounced for efficiency and nodal retrieval; BMI was not associated with lymph-node yield. LOS was not associated with BMI; however, LOS was higher in later surgical years and varied by surgeon. Conclusion: In standardized robot-assisted endometrial cancer surgery, obesity increased intraoperative workload (blood loss and operative time) without reducing lymph-node yield. LOS reflected surgeon- and time-related factors rather than BMI. These findings support the feasibility of robotic surgery in patients with obesity and underscore the importance of surgeon experience, pathway fidelity, and ongoing quality improvement.
Fields of Study & Subjects
Endometrial and Cervical Cancer Treatments
Uterine Myomas and Treatments
Gynecological conditions and treatments
Publication details
- Journal / source
- European Journal of Obstetrics & Gynecology and Reproductive Biology X
- Publisher
- Elsevier BV
- Volume
- 29
- Pages
- 100446–100446
- Publication date
- 31 January 2026
- Language
- EN