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
This article outlines a strategy for collecting accurate data for the determination of the sensitivity, specificity and predictive value of safety pharmacology models. This entails performing a retrospective analysis on commonly used safety pharmacology endpoints and an objective assessment of new non-clinical models. Such assessments require a systematic quantitative analysis of safety pharmacology parameters as well as clinical Phase I adverse events. Once the sensitivity, specificity and predictive capacity of models have been determined, they can be aligned within specific phases of the drug discovery and development pipeline for maximal impact, or removed from the screening cascade altogether. Furthermore, data will contribute to evidence-based decision-making based on the knowledge of the model sensitivity and specificity. This strategy should therefore contribute to the reduction of candidate drug attrition and a more appropriate use of animals. More data are needed to increase the power of analysis and enable more accurate comparisons of models e.g. pharmacokinetic/phamacodynamic (PK/PD) relationships as well as non-clinical and clinical outcomes for determining concordance. This task requires the collaboration and agreement of pharmaceutical companies to share data anonymously on proprietary and candidate drugs.
Download full-text PDF |
Source |
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http://dx.doi.org/10.1016/j.vascn.2009.05.011 | DOI Listing |
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