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: 1034
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016
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
Objective: [corrected] This paper presents a review of the concept of "nomogram" applied to prostate cancer, and specifically as a staging tool.
Methods/results: We describe the essential parameters for the evaluation of such type of predictive models: Calibration, discrimination and clinical usefulness. Such requisites are analyzed using a real clinical case in our clinical setting, comparing the "Partin's tables" and the "Miguel Servet University Hospital's nomogram". We demonstrate its correct calibration, discrimination and clinical usefulness after previous selection of proper cut points.
Conclusion: The application of the predictive model to our clinical practice has achieved a clinical understaging of 17.3% after radical prostatectomy.
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