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).