Data and programming code from the studies on the learning curve for radical prostatectomy Journal Article
| Authors: | Vickers, A. J.; Cronin, A. M. |
| Article Title: | Data and programming code from the studies on the learning curve for radical prostatectomy |
| 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. © 2010 Vickers et al; licensee BioMed Central Ltd. |
| Journal Title: | BMC Research Notes |
| Volume: | 3 |
| ISSN: | 1756-0500 |
| Publisher: | Biomed Central Ltd |
| Date Published: | 2010-09-02 |
| Start Page: | 234 |
| Language: | English |
| DOI: | 10.1186/1756-0500-3-234 |
| PROVIDER: | scopus |
| PMCID: | PMC3161373 |
| PUBMED: | 20813026 |
| DOI/URL: | |
| Notes: | --- - "Cited By (since 1996): 1" - "Export Date: 20 April 2011" - "Art. No.: 234" - "Source: Scopus" |
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