Objective Effect on patient outcomes when introducing a novice robotic surgeon, trained in accordance with a structured learning curriculum, to an experienced robotic surgery team. Design Observational cohort study. Setting Tertiary referral centre. Population Patients with early-stage cervical cancer who were treated with primary robot-assisted surgery between 2007 and 2019. In addition to the 165 patients included in a former analysis, we included a further 61 consecutively treated patients and divided all patients over three groups: early learning phase of 61 procedures (group 1), experienced phase of the 104 procedures thereafter (group 2), and the final 61 procedures during introduction of a novice with structured training (group 3). Methods Risk-adjusted cumulative sum (RA-CUSUM) analysis was performed and patient outcomes between groups were compared. Main Outcome Measures Surgical proficiency based on recurrence, surgical and oncological outcomes. Results Based on RA-CUSUM analysis, no learning curve effect was observed for group 3. Regarding surgical outcomes, mean operation time in group 3 was significantly shorter than group 1 ( p<0.001) and similar to group 2 ( p=0.96). Proportions of intraoperative and postoperative adverse events in group 3 were not significantly different from the experienced group (group 2). Regarding oncological outcomes, the 5-year disease-free survival, disease-specific survival, and overall survival in group 3 were not significantly different from the experienced group. Conclusions Introducing a novice robotic surgeon, who was trained in accordance with a structured learning curriculum, resulted in similar patient outcomes as by experienced surgeons suggesting novices can progress through a learning phase without compromising outcomes of cervical cancer patients.

Objective: To investigate the learning curve of robot-assisted laparoscopy in early stage cervical cancer and quantify impact on oncological outcomes. Design: Observational cohort study. Setting: Tertiary referral centre with one surgical team. Population: All early stage cervical cancer patients treated consecutively with robot-assisted laparoscopy between 2007 and 2017. Methods: With multivariate risk-adjusted cumulative sum analysis (RA-CUSUM), we assessed the learning curve of robot-assisted laparoscopy of a single surgical team based on cervical cancer recurrence. Subsequently, a survival analysis was conducted comparing oncological outcomes of patients treated during different phases of the learning curve. Main Outcome Measures: Surgical proficiency based on recurrence, survival rates in the different learning phases. Results: 165 cervical cancers patients were operated by robot-assisted laparoscopy, with a median follow-up of 57 months (range 3-132 months). The RA-CUSUM analysis demonstrated two phases of the learning curve: a learning phase of 61 procedures (group 1) and an experienced phase representing the 104 procedures thereafter (group 2). The 5-year disease free survival was 80.2% in group 1 and 91.1% in group 2 (P = 0.040). Both the 5-year disease-specific survival and overall survival significantly increased after the learning phase. Conclusion: The learning phase of robot-assisted laparoscopy in early stage cervical cancer in this institutional cohort is at least 61 procedures, with higher survival rates in the patients treated thereafter. The learning curve of robot-assisted laparoscopy affects oncological outcomes and warrants more attention in the design of future studies. Funding: None. Keywords: Cervical cancer, robot-assisted laparoscopy, learning curve, RA-CUSUM, recurrence, survival.