The authors wish to thank the reviewer for their comments which are apt and relevant
regarding the use of CUSUM analysis for operative learning curves. Specifically, that
the CUSUM curve for operative time is likely to show a similar pattern for other surgeons,
if they choose to construct the learning curve using their own means, because mathematically,
subtracting the mean from each datapoint will eventually reach zero at the last datapoint.
It is therefore true that if constructed on an objectively accepted mean other than
one's own that the learning curve for individual surgeons may not necessarily reach
the “competency” phase according to the well-accepted standard. The value however
lies in identifying the cut points to monitor the learning progression of a single
surgeon and would be even more beneficial if data from several centers or surgeons
is combined in a CUSUM analysis. It is then going to be a valuable tool for assessing
training progression when a well-accepted standard is not available as a reference.
One additional important factor, which made the learning progression appear rapid
in this study is the fact that a pyeloplasty is a very standardized procedure and
although anatomical variations exist, they are much more infrequent than, for example,
a hypospadias repair. The authors also acknowledge that operative time alone is a
poor marker for competency, the value of the CUSUM analysis in setting alert and alarm
levels for complications, is probably equally if not more valuable in assuring safe
progression of the learning curve. However, in a universal funded healthcare system
like Canada, there is value in showing a predictable decrease in operative times.
The additional costs of new technology can be offset by decrease in operative times
significantly, as each hour of operative room time, in our system, for example, conservatively
is around 1200 Canadian dollars. This allows the surgeon initiating a new technique,
in a universal healthcare model, to present a more efficient and palatable model to
healthcare administrators. This is even more pertinent because despite some observational
studies suggesting that robot-assisted approach is associated with a shorter length
of stay than open pyeloplasty and a shorter learning curve than laparoscopic pyeloplasty,
there is currently no Level 1 evidence to demonstrate a clear cost benefit advantage
of a robot assisted approach for pediatric pyeloplasty versus a laparoscopic/open
approach [
[1]
,
[2]
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References
- Multicenter comparative study of open, laparoscopic and robotic pyeloplasty in the pediatric population for the treatment of ureteropelvic junction obstruction (UPJO).Int Braz J Urol. 2022 Sep 9; : 48https://doi.org/10.1590/S1677-5538.IBJU.2022.0194
- Systematic review and meta-analysis of pediatric robot-assisted laparoscopic pyeloplasty.J Endourol. 2022 Apr; 36: 448-461
Article info
Publication history
Published online: September 26, 2022
Accepted:
September 20,
2022
Received:
September 20,
2022
Identification
Copyright
© 2022 Journal of Pediatric Urology Company. Published by Elsevier Ltd. All rights reserved.
ScienceDirect
Access this article on ScienceDirectLinked Article
- The opportunities and cautions of cumulative sum analysis in assessing learning curves in pediatric urologyJournal of Pediatric UrologyVol. 18Issue 6
- PreviewIn this issue of the Journal of Pediatric Urology, Stern et al. present on an experienced laparoscopic surgeon's experience in adopting the robotic-assisted platform for pediatric pyeloplasty [1]. This manuscript can be read at multiple levels. First, the authors nicely demonstrate both overall and task-specific learning curves for surgeons adapting the robotic technique. While the robotic platform has already saturated many marketplaces, this is relevant work for those areas where the surgical robot still represents an emerging opportunity.
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