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Vickers AJ, Cronin AM. Data and programming code from the studies on the learning curve for radical prostatectomy. BMC Res Notes. 2010;3:234doi: 10.1186/1756-0500-3-234.
Vickers, A. J., & Cronin, A. M. (2010). Data and programming code from the studies on the learning curve for radical prostatectomy. BMC research notes, 3234. https://doi.org/10.1186/1756-0500-3-234
Vickers, Andrew J, and Cronin, Angel M. "Data and programming code from the studies on the learning curve for radical prostatectomy." BMC research notes vol. 3 (2010): 234. doi: https://doi.org/10.1186/1756-0500-3-234
Vickers AJ, Cronin AM. Data and programming code from the studies on the learning curve for radical prostatectomy. BMC Res Notes. 2010 Sep 02;3:234. doi: 10.1186/1756-0500-3-234. PMID: 20813026; PMCID: PMC3161373.
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BMC Res Notes. 2010 Sep 02;3:234. doi: 10.1186/1756-0500-3-234.

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

BMC research notes

Andrew J Vickers, Angel M Cronin

Affiliations

  1. Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, NY, USA. [email protected].

PMID: 20813026 PMCID: PMC3161373 DOI: 10.1186/1756-0500-3-234

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.

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