While it may be true that complications, anastomotic leakage and nerve sparing reach a plateau after the experience of performing only several hundred operations, it seems to require much greater experience to "get it all"-- to achieve a low positive surgical margin rate. There is a world of difference between the surgical factories like Johns Hopkins and urosurgeons in community practice on this dimension. It's especially critical among patients who present with higher stage disease.
Every time I hear that someone had positive surgical margins, I wonder if they'd asked their surgeons how many such surgeries they'd performed, and what was their positive surgical margin rate in the last year. The Johns Hopkins experience shows that it can get as low as about
10% (there will always be some, unless they are selecting only low risk patients).
I don't care how they got enough practice to be proficient. That's their business, not mine. I'm not altruistic enough to volunteer to be their guinea pig for their learning curve.
Here's an abstract of the Sooriakumaran study for anyone who hasn't seen it:
Sooriakumaran et al. said...
Minerva Urol Nefrol. 2011 Sep;63(3):191-8.
Learning curve for robotic assisted laparoscopic prostatectomy: a multi-institutional study of 3794 patients.
Sooriakumaran P, John M, Wiklund P, Lee D, Nilsson A, Tewari AK.
Source
Department of Urology, Weill Cornell Medical College, New York, NY, USA.
Abstract
AIM:
The aim of this study was to define the learning curve for positive surgical margin (PSM) rate and operative time (OT) for robotic assisted laparoscopic radical prostatectomy (RALP); while the learning curve appears shorter for surgical safety for RALP compared to other surgical modalities, this has not been well established for the above parameters.
METHODS:
We performed a retrospective cohort study of 3794 patients who underwent RALP between Jan 2003 and Sep 2009 by three surgeons (DL, PW, AKT) from three centers (UPenn, Karolinska, Cornell). Mean overall PSM rates and mean overall OT were calculated for all three surgeons at intervals of 50 RALPs per surgeon, and learning curves for these means were fit using a loess method. R version 2.71 was used for all statistical analysis.
RESULTS:
The learning curve for PSM rates for all patients demonstrated improvements continued with increasing surgeon experience, with over 1600 cases required to get a PSM rate <10%. When pT3 patients were evaluated, the learning curve started to plateau after 1000-1500 cases. Mean OT plateaued after 750 cases though with further surgical experience the OTs started to climb again.
CONCLUSION:
The learning curve for RALP is not as short as previously thought, and a large number of cases are needed to get PSM rates and OTs to a minimum. This suggests that RALP should be performed by high volume surgeons in order to optimize patient outcomes.