Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Introduction: The aim of this study was to compare the performance of preoperative risk nomograms or detecting lymph node invasion in a cohort of men undergoing radical prostatectomy (RP).
Methods: A retrospective analysis was performed on all men (n = 145) who underwent RP between 2012 and 2015. Preoperative data was inputted to the Memorial Sloan-Kettering Cancer Centre (MSKCC), Partin 2011 and Briganti nomograms and the University of California San Francisco- Centre of the Prostate Risk Assessment tool (UCSF-CAPRA). The risk of lymph node involvement (LNI) was calculated and compared to final histology.
Results: One hundred three (71%) men underwent a lymph node dissection at RP. Ten (9.7%) demonstrated LNI. The median nodal yield was 15 nodes, with no difference between those with LNI and those without (19.5 vs 14.5, p = 0.22).No patient classified as low risk on the UCSF-CAPRA score had evidence of LNI. In patients with LNI, no patient breached the 2% threshold for lymph node dissection (LND) on the MSKCC nomogram; four patients breached the 5% threshold on the Partin tables while three patients breached the 2.5% threshold for the Briganti nomogram.
Conclusion: Nomograms produce useful information regarding risk of disease; however, they often have not been validated on different populations. Risk predictions need to be considered carefully and treatment decisions were made on a patient specific basis.
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Source |
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http://dx.doi.org/10.1007/s11845-017-1626-8 | DOI Listing |
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