Robotic-assisted vs. open radical prostatectomy: a machine learning framework for intelligent analysis of patient-reported outcomes from online cancer support groups

Abstract

Background The advantages of Robot-assisted laparoscopic prostatectomy (RARP) over open radical prostatectomy (ORP) in Prostate cancer perioperatively are well-established, but quality of life is more contentious. Increasingly, patients are utilising online cancer support groups (OCSG) to express themselves. Currently there is no method of analysis of these sophisticated data sources. We have used the PRIME-2 (Patient Reported Information Multidimensional Exploration version 2) framework for automated identification and intelligent analysis of decision-making, functional and emotional outcomes in men undergoing ORP vs. RARP from OCSG discussions. Methods The PRIME-2 framework was developed to retrospectively analyse individualised patient-reported information from 5,157 patients undergoing RARP and 579 ORP. The decision factors, side effects, and emotions in 2 groups were analysed and compared using Chi-squared, t tests, and Pearson correlation. Results There were no differences in Gleason score, Prostate Specific Antigen (PSA), and age between the groups. Surgeon experience and preservation of erectile function (P Conclusions ORP and RARP demonstrated similar side effect profiles for 12 months, but PRIME-2 enables identification of important quality of life features and emotions over time. It is timely for clinicians to accept OCSG as an adjunct to Prostate cancer care.