Data and programming code from the studies on the learning curve for radical prostatectomy Academic Article uri icon

Overview

MeSH Major

  • Prostate-Specific Antigen
  • Prostatic Neoplasms

abstract

  • Our group analyzed a multi-institutional data set to address the question of how the outcomes of surgery for prostate cancer are affected by surgeon-specific factors. The cohort consists of 9076 patients treated by open radical prostatectomy at one of four US academic institutions 1987 - 2003. The primary analyses focused on 7765 patients without neoadjuvant therapy. The most well-known finding is that of a surgical "learning curve", with rates of prostate cancer cure strongly dependent on surgeon experience. In this "data note", we provide the raw data set, as well as well-annotated programming code for the main analyses. Data include markers of cancer severity (stage, grade and prostate-specific antigen level), cancer outcome, and surgeon variables such as training and experience.

publication date

  • September 21, 2010

Research

keywords

  • Academic Article

Identity

Language

  • eng

PubMed Central ID

  • PMC3161373

Digital Object Identifier (DOI)

  • 10.1186/1756-0500-3-234

PubMed ID

  • 20813026

Additional Document Info

start page

  • 234

volume

  • 3