Study type

Study type

Non-interventional study

Scope of the study

Other

If ‘other’, further details on the scope of the study

Economic evaluation/ cost-effectiveness evaluation
Non-interventional study

Non-interventional study design

Cohort
Study drug and medical condition

Medical condition to be studied

Prostate cancer
Population studied

Age groups

Adults (18 to < 46 years)
Adults (46 to < 65 years)
Adults (65 to < 75 years)
Adults (75 to < 85 years)
Adults (85 years and over)

Estimated number of subjects

10400
Study design details

Main study objective

The main objective is to assess thereal-life incremental cost-effectiveness ratio at 5 years, of the robot-assisted laparoscopic radical prostatectomy compared with laparoscopic radical prostatectomy and open retropubic radical prostatectomy in the the French National Claims Database (SNDS).

Outcomes

Incremental cost / progression-free (without additional treatment) life-year saved 5 years after initial surgery, 1)Incremental cost / life-year saved at 8 years. 2)Cost of robotic surgery.3)Outcomes measured at 5 and 8 years: Overall survival, Disease progression requiring a new treatment for prostate cancer,Continence disorders requiring treatment,Erectile dysfunction requiring treatment,Total healthcare consumptions.4)Urological hospitalizations within 90 days following the initial surgery.

Data analysis plan

Following analyses will be done:1) Conditional probability of benefiting from the three surgical procedures using the high-dimensional propensity score (hdPS). Subjects from each group will be 1:1 matched on the score value.2) Progression-free survival at 5 and 8 years using Kaplan-Meier method. 3) Comparison of events rates between groups using proportional Cox models in total population with/without adjustment on hdPS, and in hdPS-matched populations. 4) None-adjusted estimation of cost-effectiveness ratios (95% CI estimated by boostrap).5) Net Monetary Benefit estimation of each surgical procedure (NMB = E x λ – C) with λ = differential cost-effectiveness threshold.6) hdPS-adjusted analysis using simple linear regression model, with BNM as dependent variable and type of surgery and hdPS as independent variables: one model to compare robot-assisted procedure with open procedure, and another to compare robot-assisted procedure with laparoscopic procedure.