Study design and data collection
The retrospective analysis was based on the clinical data of robotic-assisted MDT gynaecological surgeries in Chinese PLA General Hospital from January 2018 to December 2021. All procedures were performed by Da Vinci SI Surgical System (Intuitive Surgical Inc.). The MDT team mainly included Prof. Meng Yuanguang majored in gynaecological oncology, Prof. Ma Xin and Prof. Liu Hongyi from urology surgery department and general surgery department respectively. 39 patients’ clinical information was collected in the following items: age, body mass index (BMI), final diagnosis, characteristic of disease (benign or malignant), frequency of abdominal surgeries before, frequency of gynaecological surgeries before, concomitant diseases (hypertension and diabetes), family history, preoperative days, postoperative days, total hospital stay, operation cost, hospitalization expense, details of cooperative departments, operation time, blood loss volume, blood transfusion volume, intraoperative complications, postoperative complications, length of ICU stay, 30 days admission, 30 days intervention, 30 days reoperation. All the information was collected under the supervision of PLA General Hospital Ethics Committee. And no privacy was leaked in this procession. All data were properly stored and data analysis was performed using the SPSS 25.0.0 software (IBM Corporation, USA).