Document Detail


A Novel Metric to Assess the Clinical Utility of a Drug in the Presence of Efficacy and Dropout Information.
MedLine Citation:
PMID:  22089266     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
The fact that there are high dropout rates in clinical trials of antipsychotic medications raises critical questions regarding the most appropriate method of designing new trials, analyzing efficacy data, and evaluating the clinical utility (CU) of novel treatments. In this article, we consider the use of a model-based approach to define an integrated CU criterion for better characterizing the clinical response to a treatment, for optimizing proof-of-concept trials, and for providing differentiating criteria for novel medications when complete information is not available.
Authors:
N Goyal; R Gomeni
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2011-11-16
Journal Detail:
Title:  Clinical pharmacology and therapeutics     Volume:  -     ISSN:  1532-6535     ISO Abbreviation:  -     Publication Date:  2011 Nov 
Date Detail:
Created Date:  2011-11-17     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0372741     Medline TA:  Clin Pharmacol Ther     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Affiliation:
Pharmacometrics, GlaxoSmithKline R&D, King of Prussia, Pennsylvania, USA.
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