Data and programming code from the studies on the learning curve for radical prostatectomy
<p>Abstract</p> <p>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 aca...
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| Series: | BMC Research Notes |
| Online Access: | http://www.biomedcentral.com/1756-0500/3/234 |
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doaj-d4d0e9b7a0994f8ca478f0597fb9c4102020-11-25T01:36:19ZengBMCBMC Research Notes1756-05002010-09-013123410.1186/1756-0500-3-234Data and programming code from the studies on the learning curve for radical prostatectomyVickers Andrew JCronin Angel M<p>Abstract</p> <p>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.</p> http://www.biomedcentral.com/1756-0500/3/234 |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Vickers Andrew J Cronin Angel M |
| spellingShingle |
Vickers Andrew J Cronin Angel M Data and programming code from the studies on the learning curve for radical prostatectomy BMC Research Notes |
| author_facet |
Vickers Andrew J Cronin Angel M |
| author_sort |
Vickers Andrew J |
| title |
Data and programming code from the studies on the learning curve for radical prostatectomy |
| title_short |
Data and programming code from the studies on the learning curve for radical prostatectomy |
| title_full |
Data and programming code from the studies on the learning curve for radical prostatectomy |
| title_fullStr |
Data and programming code from the studies on the learning curve for radical prostatectomy |
| title_full_unstemmed |
Data and programming code from the studies on the learning curve for radical prostatectomy |
| title_sort |
data and programming code from the studies on the learning curve for radical prostatectomy |
| publisher |
BMC |
| series |
BMC Research Notes |
| issn |
1756-0500 |
| publishDate |
2010-09-01 |
| description |
<p>Abstract</p> <p>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.</p> |
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http://www.biomedcentral.com/1756-0500/3/234 |
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