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Related Experiment Video

Updated: Jun 9, 2026

Retzius-Sparing Robot-Assisted Radical Prostatectomy
12:10

Retzius-Sparing Robot-Assisted Radical Prostatectomy

Published on: May 19, 2022

Data and programming code from the studies on the learning curve for radical prostatectomy.

Andrew J Vickers1, Angel M Cronin

  • 1Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, NY, USA. vickersa@mskcc.org.

BMC Research Notes
|September 4, 2010
PubMed
Summary
This summary is machine-generated.

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Surgeon experience significantly impacts prostate cancer cure rates after open radical prostatectomy. This study provides data and code to analyze the surgical learning curve for improved patient outcomes.

Area of Science:

  • Urology
  • Surgical Oncology
  • Health Services Research

Background:

  • Prostate cancer treatment outcomes can be influenced by various factors.
  • Understanding surgeon-specific effects is crucial for optimizing surgical care.

Purpose of the Study:

  • To analyze the impact of surgeon experience on prostate cancer treatment outcomes.
  • To provide a comprehensive dataset and analysis code for future research.

Main Methods:

  • Analysis of a multi-institutional dataset of 7765 patients undergoing open radical prostatectomy.
  • Inclusion of patient data on cancer severity (stage, grade, PSA) and outcomes.
  • Inclusion of surgeon variables including training and experience.

Main Results:

Related Experiment Videos

Last Updated: Jun 9, 2026

Retzius-Sparing Robot-Assisted Radical Prostatectomy
12:10

Retzius-Sparing Robot-Assisted Radical Prostatectomy

Published on: May 19, 2022

  • A significant "learning curve" was identified, demonstrating that surgeon experience strongly correlates with prostate cancer cure rates.
  • Surgeon-specific factors demonstrably affect surgical outcomes.

Conclusions:

  • Surgeon experience is a critical determinant of success in radical prostatectomy for prostate cancer.
  • The provided dataset and code facilitate further investigation into surgeon-specific learning curves and their impact on patient outcomes.